<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
xmlns:content="http://purl.org/rss/1.0/modules/content/"
        xmlns:wfw="http://wellformedweb.org/CommentAPI/"
        xmlns:dc="http://purl.org/dc/elements/1.1/"
        xmlns:atom="http://www.w3.org/2005/Atom"
        xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
        xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
        xmlns:media="http://search.yahoo.com/mrss/"
        >
    <channel>
        <title>Simulations Plus</title>
        <atom:link href="https://www.simulations-plus.com/resource/" rel="self" type="application/rss+xml" />
        <link>https://www.simulations-plus.com/resource/</link>
        <description>We Improve Health Through Innovative Solutions</description>
        <lastBuildDate>Fri, 24 Apr 2026 21:55:56 +0000</lastBuildDate>
                <sy:updatePeriod>hourly</sy:updatePeriod>
        <sy:updateFrequency>1</sy:updateFrequency>
        

<image>
	<url>https://www.simulations-plus.com/wp-content/uploads/simulations-favicon-100x100.png</url>
	<title>Resource Archive - Simulations Plus</title>
	<link>https://www.simulations-plus.com/resource/</link>
	<width>32</width>
	<height>32</height>
</image> 

                            <item>
                        <title><![CDATA[Accelerated Discovery of Novel RORγT Modulators Using an AI-Driven Platform Integrating Generative Chemistry and Mechanistic Pk Simulation]]></title>
                        <link>https://www.simulations-plus.com/resource/accelerated-discovery-of-novel-ror%ce%b3t-modulators-using-an-ai-driven-platform-integrating-generative-chemistry-and-mechanistic-pk-simulation/</link>
                        <pubDate>Tue, 21 Apr 2026 09:00:04 +0000</pubDate>
                                                        <dc:creator>Jones J, Bachorz RA, Pastwińska J, Sałkowska A, Ratajewski M</dc:creator>
                                                    <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45708</guid>
                        <description><![CDATA[<p>Artificial Neural Network Ensemble models were built in ADMET Modeler using data curated from ChEMBL. (A) Distribution of agonist and inverse agonist activities (in -log space). Classification and Regression models for agonists (B, C) and inverse agonists (D, E). Compounds must pass the classification model prior to prediction in the regression model.</p>
]]></description>
                        <content:encoded><![CDATA[<p>Abstract</p>
<ul>
<li>Multiple AIDD runs were performed with varying parameters; results were combined and AIDD-generated compounds were identified in the Enamine REAL and WuXi GalaXi synthesis-on-demand libraries.</li>
<li>Initial results were used to rebuild QSAR models and a second round of AIDD was performed and compounds identified in synthesis-on-demand libraries.</li>
<li>In all, 69 molecules were synthesized and tested.</li>
</ul>
<p>By Jeremy O Jones, Rafal A Bachorz, Joanna Pastwińska , Anna Sałkowska, Marcin Ratajewski</p>
<p>AACR Annual Meeting 2026, April 17th &#8211; 22nd, 2026, San Diego, CA</p>
<p>&nbsp;</p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[Simulations Plus Announces Collaboration with Lonza and U.S. FDA to Advance Predictive Frameworks for Complex Oral Drug Products]]></title>
                        <link>https://www.simulations-plus.com/resource/simulations-plus-announces-collaboration-with-lonza-and-u-s-fda-to-advance-predictive-frameworks-for-complex-oral-drug-products/</link>
                        <pubDate>Tue, 21 Apr 2026 08:11:28 +0000</pubDate>
                                                <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45722</guid>
                        <description><![CDATA[<p>Mechanistic modeling approach and experimental integration designed to improve early risk identification, strengthen regulatory confidence, and expand AI-enabled workflows connecting data to decision-making</p>
]]></description>
                        <content:encoded><![CDATA[<p data-ogsc="" data-olk-copy-source="MessageBody"> Simulations Plus, Inc. (Nasdaq: SLP) (“Simulations Plus” or the “Company”), a global leader in model-informed and AI-accelerated drug development that advances biopharma innovation, today announced a funded research collaboration with Lonza Group AG (“Lonza”), a leading contract development and manufacturing organization (CDMO) dedicated to serving the healthcare industry, and the U.S. Food and Drug Administration (FDA) to develop and validate a mechanistic, predictive framework for assessing the <i data-ogsc="">in vivo</i> performance of amorphous solid dispersion (ASD) drug products.</p>
<p data-ogsc="">“Complex oral formulations such as amorphous solid dispersions present significant scientific and regulatory challenges due to their sensitivity to physiological and manufacturing variables,” said Dr. Viera Lukacova, Chief Scientific Officer of Simulations Plus. “Through this funded collaboration, we aim to integrate advanced <i data-ogsc="">in vitro</i> systems with mechanistic modeling to improve prediction of <i data-ogsc="">in vivo</i> performance, support regulatory decision-making, and enable more efficient development pathways for these high-impact therapies that deliver faster dissolution and more drug absorption.”</p>
<p data-ogsc=""><b data-ogsc="">Advancing Mechanistic, Model-Informed Approaches for Complex Products</b></p>
<p data-ogsc="">ASDs are among the most powerful yet complex oral drug delivery systems, with performance influenced by factors such as food intake, gastric pH, formulation composition, and manufacturing processes. Current regulatory approaches often require multiple clinical bioequivalence (BE) studies, which can be resource-intensive while still carrying uncertainty.</p>
<p data-ogsc="">The collaboration evaluates whether advanced <i data-ogsc="">in vitro</i> dissolution systems—particularly those incorporating dynamic gastrointestinal physiology—combined with mechanistic physiologically based biopharmaceutics modeling (PBBM), can reliably predict key <i data-ogsc="">in vivo</i> outcomes, including food effects and the impact of elevated gastric pH conditions.</p>
<p data-ogsc="">By establishing and validating these predictive capabilities, the collaboration aims to provide a scientific foundation for reducing reliance on certain clinical BE studies while maintaining the rigor and transparency required by regulators.</p>
<p data-ogsc=""><b data-ogsc="">Integrating Experimental and Mechanistic Modeling Expertise</b></p>
<p data-ogsc="">The collaboration brings together complementary capabilities across experimental science and computational modeling.</p>
<p data-ogsc="">Lonza will lead experimental work, including <i data-ogsc="">in vitro</i> dissolution testing under fasted, fed, and elevated gastric pH conditions using advanced systems such as Controlled Transfer Dissolution (CTD), as well as the characterization and, where needed, manufacturing of ASD formulation variants.</p>
<p data-ogsc="">Simulations Plus will lead the development and validation of <i data-ogsc="">in vitro–in vivo</i> extrapolation (IVIVE) frameworks using its DDDPlus® and GastroPlus® platforms, translating experimental data into predictions of <i data-ogsc="">in vivo</i> pharmacokinetics and supporting virtual bioequivalence assessments. At the same time, it creates new opportunities to extend these capabilities into grounded AI-enabled workflow environments, where data, mechanistic models, and simulation outputs will be more directly connected. The Company will also contribute to interpretation within a regulatory context, ensuring alignment with evolving expectations for model-informed drug development (MIDD).</p>
<p data-ogsc="">Francois Ricard, Head of R&amp;D, Lonza Advanced Synthesis, said, “This collaboration reflects Lonza’s commitment to advancing more predictive, science-driven approaches as the leader in the field of bioavailability enhancement. By combining advanced <i data-ogsc="">in vitro</i> experimentation with mechanistic modeling, and working closely with Simulations Plus and the FDA, we aim to strengthen the scientific foundation that underpins regulatory decision-making for complex oral drug products. Ultimately, this type of collaboration should help accelerate development for our customers requiring bioequivalence during clinical development.”</p>
<p data-ogsc=""><b data-ogsc="">Alignment with Regulatory Priorities and Industry Needs</b></p>
<p data-ogsc="">This work is supported in part through FDA funding and includes ongoing engagement with FDA scientists to directly align with regulatory priorities to advance MIDD, modernize bioequivalence assessment for complex products, and reduce unnecessary reliance on human studies. By combining regulatory collaboration with open, non-proprietary data and validated methods based on real-world, FDA-approved ASD products, the initiative is intended to inform future regulatory approaches and support broader adoption of science-based alternatives.</p>
<p data-ogsc="">“The industry is moving toward a future where decisions are informed earlier, with greater confidence and scientific transparency,” added Lukacova. “Our role is to ensure those decisions are grounded in validated science—while enabling more efficient ways to connect data, models, and insight.”</p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[Simulations Plus Expands Global Access to Model-Informed Drug Development Training Through Its 2026 Spring School]]></title>
                        <link>https://www.simulations-plus.com/resource/simulations-plus-expands-global-access-to-model-informed-drug-development-training-through-its-2026-spring-school/</link>
                        <pubDate>Mon, 20 Apr 2026 11:59:33 +0000</pubDate>
                                                <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45713</guid>
                        <description><![CDATA[<p>More than 1,400 participants across 65+ countries underscores accelerating adoption of model-informed workflows and growing demand for applied modeling expertise</p>
]]></description>
                        <content:encoded><![CDATA[<p data-ogsc="" data-olk-copy-source="MessageBody">Simulations Plus, Inc. (Nasdaq: SLP) (“Simulations Plus” or the “Company”), a global leader in model-informed and AI-accelerated drug development that advances biopharma innovation, today announced the successful completion of its 2026 Spring School, a global training initiative designed to expand access to model-informed drug development (MIDD) and strengthen the scientific foundation of the industry’s future workforce.</p>
<p data-ogsc="">More than 1,400 scientists from industry, academia, and regulatory agencies from over 65 countries participated in the week-long program, reflecting the high demand for expert-led training as modeling and simulation increasingly become standard for drug development strategy, regulatory engagement, and clinical execution.</p>
<p data-ogsc="">“As model-informed approaches become central to how therapies are developed, it is vital to apply modeling and simulation consistently across teams,” said Jonathan Chauvin, Co-Chief Product and Technology Officer of Simulations Plus. “Through programs like Spring School, we are expanding access to these capabilities to support the next generation of scientists, while enabling broader adoption of model-informed workflows across the industry. These foundational skills are essential for scientists to evolve with the discipline and leverage validated scientific engines and AI-enabled ecosystems to support better decision-making across the drug development lifecycle.”</p>
<p data-ogsc="">Held from March 23 to 27, 2026, the Spring School program offered two tracks: <i data-ogsc="">GastroPlus® Spring School: From PBPK Basics to Biopharmaceutics Applications</i>, and <i data-ogsc="">MonolixSuite™ Spring School: High-Impact Pharmacometrics Case Studies</i>. Both tracks included interactive lectures, hands-on exercises, and live Q&amp;A sessions led by Simulations Plus experts.</p>
<p data-ogsc="">“The continued scale and diversity of participation in this year’s program reflects how quickly model-informed approaches are becoming embedded across the global scientific community,” said Jennifer Johnson, Manager of Learning Services of Simulations Plus. “Our focus is on building programs that not only educate but also help scientists translate these methods into real-world workflows and collaborative environments.”</p>
<p data-ogsc="">Simulations Plus has a long-standing commitment to education. In addition to its Spring School, the Company has previously offered Summer and Autumn Schools focused on PK/PD modeling. The most recent Autumn School was the first program to offer a second track focused on PBPK modeling. In addition to these programs, Simulations Plus is widely known for its University+ program, which provides free academic access to modeling and simulation software for thousands of students and educators worldwide. Together, these initiatives form a cornerstone of the Company’s global educational outreach—helping expand the adoption of model-informed approaches and strengthening the pipeline of scientists equipped to apply these methods across the drug development lifecycle.</p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[Reproductive Toxicity of Fructus Psoraleae in Zebrafish: Material Basis and Implications for Clinical Safety Dosing]]></title>
                        <link>https://www.simulations-plus.com/resource/reproductive-toxicity-of-fructus-psoraleae-in-zebrafish-material-basis-and-implications-for-clinical-safety-dosing/</link>
                        <pubDate>Fri, 17 Apr 2026 10:00:14 +0000</pubDate>
                                                        <dc:creator>Shen X, Wang R, He J, Wang N, Zhang W, Zhou L, Li C, Zeng Y, Ao T, Deng H, Zhou K, Shen P, Gao Y, Zhou W</dc:creator>
                                                    <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45727</guid>
                        <description><![CDATA[<p>Fructus psoraleae (FP), a classical TCM with a medicinal history spanning several millennia, is esteemed for its therapeutic properties in regulating Qi, alleviating asthma, tonifying kidneys and reinforcing Yang. </p>
]]></description>
                        <content:encoded><![CDATA[<h3 class="section-title u-h4 u-margin-l-top u-margin-xs-bottom">Abstract</h3>
<div id="abss0002">
<p id="cesectitle0003" class="u-h4 u-margin-m-top u-margin-xs-bottom"><strong>Background</strong></p>
<div id="spara009" class="u-margin-s-bottom"><em>Fructus psoraleae</em> (FP), a classical TCM with a medicinal history spanning several millennia, is esteemed for its therapeutic properties in regulating Qi, alleviating asthma, tonifying kidneys and reinforcing Yang. Previous studies have revealed that prolonged use of FP may induce reproductive toxicity, particularly in females. However, its safety evaluation has not yet been systematically conducted.</div>
</div>
<div id="abss0003">
<p>&nbsp;</p>
<p id="cesectitle0004" class="u-h4 u-margin-m-top u-margin-xs-bottom"><strong>Purpose</strong></p>
<div id="spara010" class="u-margin-s-bottom">To develop an integrated framework for elucidating the key toxic compounds, underlying toxicological mechanisms, and safety clinical dosage of FP.</div>
</div>
<div id="abss0004">
<p id="cesectitle0005" class="u-h4 u-margin-m-top u-margin-xs-bottom">Methods</p>
<div id="spara011" class="u-margin-s-bottom">Zebrafish were exposed to varying concentrations of FP (0.025, 0.05, 0.1 mg/mL) to evaluate its reproductive toxicity. The <em>in-vitro</em> and <em>in-vivo</em> chemical compounds of FP were comprehensively identified and quantified using liquid chromatography-mass spectrometry. Potential toxic compounds were determined through network pharmacology, literature mining, and cytotoxicity evaluation. The perturbations induced by FP and the potential toxic compounds on gene expression in zebrafish oocytes were elucidated through transcriptomic analysis. The metabolic profile of key toxic compounds in human females was visualized using GastroPlus™.</div>
</div>
<div id="abss0005">
<p>&nbsp;</p>
<p id="cesectitle0006" class="u-h4 u-margin-m-top u-margin-xs-bottom"><strong>Results</strong></p>
<div id="spara012" class="u-margin-s-bottom">In zebrafish, 21-day FP extract exposure induced vitellogenin reduction, hypothalamic-pituitary-gonadal axis gene dysregulation, and marked oocyte atresia. Subsequently, nine FP-derived potential toxic compounds were identified in the ovary, with five exhibiting BMDL (benchmark dose limit) values near or below their measured concentrations, implicating them as principal toxic contributors. Adverse Outcome Pathway (AOP) networks and non-negative matrix factorization (NMF) analysis revealed isopsoralen, isopsoralenoside, and bakuchiol as dominant effectors. First-in-human physiologically based pharmacokinetic (PBPK) modeling determined maximum permissible daily intakes for isopsoralen, isopsoralenoside, and bakuchiol over 21 days as 0.5 μg/kg, 0.021 μg/kg, and 2.5 μg/kg, respectively.</div>
</div>
<div id="abss0006">
<p>&nbsp;</p>
<p id="cesectitle0007" class="u-h4 u-margin-m-top u-margin-xs-bottom"><strong>Conclusion</strong></p>
<div id="spara013" class="u-margin-s-bottom">FP exhibited pronounced reproductive toxicity in zebrafish, with its underlying material basis, mechanistic pathways, and oral dosage preliminarily elucidated. Furthermore, a systematically toxicological assessment strategy was developed, providing a precise approach for identifying the potential toxicity or efficacy of TCM and its key material basis.</div>
</div>
<div></div>
<div>By Xin Shen, Rui Wang, Jun He, Ningning Wang, Wang Zhang, Lei Zhou, Chuan Li, Yimei Zeng, Ting Ao, Huifang Deng, Kun Zhou, Pan Shen, Yue Gao, Wei Zhou</div>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[Novel Descriptors and Models for More Accurate ADME and PK Predictions of Beyond Rule of Five Molecules]]></title>
                        <link>https://www.simulations-plus.com/resource/novel-descriptors-and-models-for-more-accurate-adme-and-pk-predictions-of-beyond-rule-of-five-molecules/</link>
                        <pubDate>Mon, 13 Apr 2026 16:03:00 +0000</pubDate>
                                                        <dc:creator>Jones J, Bachorz RA, Chupakhin V, Lawless M, Miller D, Fraczkiewicz R</dc:creator>
                                                    <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45706</guid>
                        <description><![CDATA[<p>This study addresses the critical need for improved physicochemical descriptors and predictive models tailored to beyond Rule of Five (bRo5) compounds, including PROTACs and cyclic peptides.</p>
]]></description>
                        <content:encoded><![CDATA[<h3>Abstract</h3>
<p>This study addresses the critical need for improved physicochemical descriptors and predictive models tailored to beyond Rule of Five (bRo5) compounds, including PROTACs and cyclic peptides. By integrating experimental parameters such as EPSA1, ChromLogD2, and ChameLogK3 with computationally derived features of molecular chameleonicity, we aim to establish new structure–property relationships that better capture the dynamic polarity and conformational adaptability of these complex molecules. The resulting models are designed to enhance the prediction of key in vitro ADME and in vivo pharmacokinetic (PK) endpoints, ultimately providing a more reliable framework for the design and optimization of developable bRo5 therapeutics. Case studies demonstrate the contribution of these new descriptors to model building as well as improvements in predicting key in vivo endpoints for this challenging chemical space.</p>
<p>By Jeremy O. Jones, Rafał A. Bachorz, Vladimir Chupakhin, Michael Lawless, David Miller, and Robert Fraczkiewicz</p>
<p>CHI Drug Discovery Chemistry, April 13th &#8211; 16th, 2026, San Diego, CA</p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[GastroPlus PBBM® Flyer]]></title>
                        <link>https://www.simulations-plus.com/resource/gastroplus-pbbm-flyer/</link>
                        <pubDate>Fri, 10 Apr 2026 15:49:59 +0000</pubDate>
                                                <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45638</guid>
                        <description><![CDATA[<p>Mechanistic biopharmaceutics modeling: trusted, flexible, and built to scale.</p>
]]></description>
                        <content:encoded><![CDATA[<p><img loading="lazy" decoding="async" class="alignnone size-medium wp-image-45640" src="https://www.simulations-plus.com/wp-content/uploads/GP-PBPM-Flyer-2026-05-8.5x11-232x300.jpg" alt="See the GastroPlus Flyer highlighting PBPK modeling, ADMET Predictor, and consulting for drug R&amp;D." width="232" height="300" srcset="https://www.simulations-plus.com/wp-content/uploads/GP-PBPM-Flyer-2026-05-8.5x11-232x300.jpg 232w, https://www.simulations-plus.com/wp-content/uploads/GP-PBPM-Flyer-2026-05-8.5x11-791x1024.jpg 791w, https://www.simulations-plus.com/wp-content/uploads/GP-PBPM-Flyer-2026-05-8.5x11-768x994.jpg 768w, https://www.simulations-plus.com/wp-content/uploads/GP-PBPM-Flyer-2026-05-8.5x11-1187x1536.jpg 1187w, https://www.simulations-plus.com/wp-content/uploads/GP-PBPM-Flyer-2026-05-8.5x11.jpg 1545w" sizes="auto, (max-width: 232px) 100vw, 232px" /></p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[Physiologically Based Pharmacokinetic Modeling and Dose Adjustment of Imipenem in Pediatric Patients with Renal Impairment Chen  Feng Chen Feng 1  P Peng Xiao 1,2]]></title>
                        <link>https://www.simulations-plus.com/resource/gut-microbiome-antimicrobial-resistance-dynamics/</link>
                        <pubDate>Fri, 10 Apr 2026 15:09:32 +0000</pubDate>
                                                        <dc:creator>Feng C, Xiao P, Qu Y, Fan K, Wang Y, Zhang X, Wang X, Pan J, Deng Y, Yu Y</dc:creator>
                                                    <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45664</guid>
                        <description><![CDATA[<p>To establish a physiologically based pharmacokinetic (PBPK) model of imipenem, predict its exposure in pediatric patients with different renal function, and optimize the dosing regimen.</p>
]]></description>
                        <content:encoded><![CDATA[<div class="ArticleDetailsV4__main__content">
<div id="h1">
<h3>Abstract</h3>
<p><strong>Objectives</strong></p>
<p>To establish a physiologically based pharmacokinetic (PBPK) model of imipenem, predict its exposure in pediatric patients with different renal function, and optimize the dosing regimen.</p>
<p><strong>Methods</strong></p>
<p>GastroPlus™ was used to construct PBPK models for healthy adults, adults with renal impairment (RI), and children with normal renal function, validated by fold error (&lt;2) between predicted and observed pharmacokinetic parameters. Based on the established PBPK models, the exposure of imipenem in pediatric patients with different renal function was predicted. Monte carlo simulations were used to evaluate the probability of target attainment (PTA) for optimized doses and to determine appropriate dosing regimens for pediatric patients with RI.</p>
<p><strong>Results </strong></p>
<p>The PBPK model could adequately predict the exposure of imipenem in different populations after single and multiple administrations (fold error &lt;2). For 15 mg/kg doses, the AUC of imipenem in children with mild RI, moderate RI and severe RI was 1.05-fold, 1.26-fold, and 2.14-fold that of healthy children, respectively. Prolonging infusion from 30 min to 3 h significantly increased PTA. In addition, for susceptible bacteria with the minimum inhibitory concentration (MIC) &lt; 4 mg/L, the recommended doses for pediatric patients aged ≥ 3 years with normal renal function, mild RI, moderate RI, and severe RI were 15, 15, 12, and 7 mg/kg every 6 hours, respectively, with a 3-hour infusion.</p>
<p><strong>Conclusion</strong></p>
<p>This PBPK model can accurately predict the exposure of imipenem in pediatric patients with renal impairment, and the optimized dosing regimen can meet the pharmacodynamic targets, providing support for the precise use of imipenem.</p>
<p>By Chen Feng, Peng Xiao, Yuchen Qu, Kai Fan, Yueyuan Wang, Xinyun Zhang, Xiaolan Wang, Jie Pan, Yang Deng, Yunli Yu</p>
</div>
</div>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[Simulations Plus Reports Second Quarter Fiscal 2026 Financial Results]]></title>
                        <link>https://www.simulations-plus.com/resource/simulations-plus-reports-second-quarter-fiscal-2026-financial-results/</link>
                        <pubDate>Thu, 09 Apr 2026 15:37:54 +0000</pubDate>
                                                <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45633</guid>
                        <description><![CDATA[<p>Revenue grew 8% with increases in both software and services</p>
]]></description>
                        <content:encoded><![CDATA[<p data-ogsc="" data-olk-copy-source="MessageBody">Simulations Plus, Inc. (Nasdaq: SLP) (“Simulations Plus” or the “Company”), a global leader in model-informed and AI-accelerated drug development that advances biopharma innovation, today reported financial results for its second quarter fiscal 2026, ended February 28, 2026.</p>
<p data-ogsc=""><b data-ogsc="">Second Quarter 2026 Financial Highlights (as compared to second quarter 2025)</b></p>
<ul class="x_bwlistdisc" data-ogsc="">
<li data-ogsc="">Total revenue increased 8% to $24.3 million</li>
<li data-ogsc="">Software revenue increased 9% to $14.6 million, representing 60% of total revenue</li>
<li data-ogsc="">Services revenue increased 8% to $9.7 million, representing 40% of total revenue</li>
<li data-ogsc="">Gross profit was $16.1 million and gross margin was 66%, compared to $13.1 million and 59%</li>
<li data-ogsc="">Net income of $4.5 million and diluted earnings per share of $0.22, compared to net income of $3.1 million and diluted EPS of $0.15</li>
<li data-ogsc="">Adjusted EBITDA of $8.7 million, representing 36% of total revenue, compared to $6.6 million, representing 29% of total revenue</li>
<li data-ogsc="">Adjusted net income of $7.0 million and adjusted diluted EPS of $0.35 compared to adjusted net income of $6.2 million and adjusted diluted EPS of $0.31</li>
</ul>
<p data-ogsc=""><b data-ogsc="">Six Months 2026 Financial Highlights (as compared to six months 2025)</b></p>
<ul class="x_bwlistdisc" data-ogsc="">
<li data-ogsc="">Total revenue increased 3% to $42.7 million</li>
<li data-ogsc="">Software revenue decreased 3% to $23.5 million, representing 55% of total revenue</li>
<li data-ogsc="">Services revenue increased 12% to $19.2 million, representing 45% of total revenue</li>
<li data-ogsc="">Gross profit was $27.0 million and gross margin was 63%, compared to $23.3 million and 56%</li>
<li data-ogsc="">Net income of $5.2 million and diluted earnings per share of $0.26, compared to net income of $3.3 million and diluted EPS of $0.16</li>
<li data-ogsc="">Adjusted EBITDA of $12.3 million, representing 29% of total revenue, compared to $11.1 million, representing 27% of total revenue</li>
<li data-ogsc="">Adjusted net income of $9.6 million and adjusted diluted EPS of $0.48, approximately equivalent to the same period last year</li>
</ul>
<p data-ogsc=""><b data-ogsc="">Management Commentary</b></p>
<p data-ogsc="">“We delivered solid second quarter results, with revenue increasing by 8%,” said Shawn O’Connor, CEO of Simulations Plus. “Software growth was driven by strong performance in discovery and development solutions, partially offset by an anticipated decline in clinical operations software. We also saw continued success with new logo additions and client upsells. Services revenue growth was primarily driven by development solutions and bookings were strong during the quarter, resulting in an approximately 18% increase in backlog.”</p>
<p data-ogsc="">“Market conditions remain favorable. Globally, ongoing most-favored-nation pricing agreements, reduced tariff threats, and an improving funding environment are benefiting our clients. In addition, we believe recent supplemental guidance on new approach methodologies is supporting increased client activity. We are seeing this reflected in strong software renewals, logo activity, and services bookings. Overall, we are pleased with our first-half fiscal 2026 performance and encouraged by the momentum we see across the business,” concluded O’Connor.</p>
<p data-ogsc=""><b data-ogsc="">Fiscal 2026 Guidance</b></p>
<p data-ogsc="">The Company is adjusting its guidance range for adjusted diluted EPS from a range of $1.03 &#8211; $1.10 to $0.75 &#8211; $0.85 to reflect an increase in the expected effective tax rate for fiscal 2026 from 12-14% to 23-25%. All other previously issued guidance metrics remain unchanged.</p>
<div class="R1UVb">
<div class="qF8_5"><button class="fui-Button r1f29ykk wD8TJ ___1cf351u f1c21dwh f1p3nwhy f11589ue f1q5o8ev f1pdflbu fkfq4zb fjxutwb f1s2uweq fr80ssc f1ukrpxl fecsdlb f139oj5f ft1hn21 fuxngvv fkoldzo fhvnf4x fb6swo4 f1klyf7k f232fm2 f1l983o9 f1nhwcv0 f1gm6xmp fxoo9op f1v3eptx f1i0gk12 fd4bjan f18ktai2 fwbmr0d f44c6la" title="Show original size" type="button" aria-label="Show original size"><span class="fui-Button__icon rywnvv2"><i class="fui-Icon-font ___qaf4230 f14t3ns0 fne0op0 fmd4ok8 f303qgw f1sxfq9t" aria-hidden="true"></i></span></button></div>
<table class="x_bwtablemarginb x_bwblockalignc x_bwwidth50" cellspacing="0" data-ogsc="">
<tbody data-ogsc="">
<tr data-ogsc="">
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth60" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth1" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwsinglebottom x_bwpadl0 x_bwwidth39" colspan="1" rowspan="1" data-ogsc="" data-ogsbbc="">
<p class="x_bwalignc x_bwcellpmargin" data-ogsc=""><b data-ogsc="">Fiscal 2026</b></p>
<p class="x_bwalignc x_bwcellpmargin" data-ogsc=""><b data-ogsc="">Guidance</b></p>
</td>
</tr>
<tr data-ogsc="">
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth60" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">Revenue</p>
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth1" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwalignc x_bwwidth39" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwalignc x_bwcellpmargin" data-ogsc="">$79M &#8211; $82M</p>
</td>
</tr>
<tr data-ogsc="">
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth60" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">Revenue growth</p>
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth1" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwpadr0 x_bwalignc x_bwwidth39" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin x_bwalignc" data-ogsc="">0 &#8211; 4%</p>
</td>
</tr>
<tr data-ogsc="">
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth60" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">Software mix</p>
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth1" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwpadr0 x_bwalignc x_bwwidth39" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin x_bwalignc" data-ogsc="">57 &#8211; 62%</p>
</td>
</tr>
<tr data-ogsc="">
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth60" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">Adjusted EBITDA margin</p>
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth1" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwpadr0 x_bwalignc x_bwwidth39" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin x_bwalignc" data-ogsc="">26 &#8211; 30%</p>
</td>
</tr>
<tr data-ogsc="">
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth60" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">Adjusted diluted EPS</p>
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwwidth1" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwcellpmargin" data-ogsc="">
</td>
<td class="x_bwvertalignb x_bwpadl0 x_bwalignc x_bwwidth39" colspan="1" rowspan="1" data-ogsc="">
<p class="x_bwalignc x_bwcellpmargin" data-ogsc="">$0.75 &#8211; $0.85</p>
</td>
</tr>
</tbody>
</table>
</div>
<p data-ogsc=""><b data-ogsc="">Webcast and Conference Call Details</b></p>
<p data-ogsc="">Shawn O’Connor, Chief Executive Officer, and Will Frederick, Executive Vice President and Chief Financial Officer, will host a conference call and webcast today, April 9 at 5:00 p.m. Eastern Time to discuss the results and certain forward-looking information. The call may be accessed by registering <a title="Original URL: https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fviavid.webcasts.com%2Fstarthere.jsp%3Fei%3D1757290%26tp_key%3D2f21f16a70&amp;esheet=54486658&amp;newsitemid=20260409950592&amp;lan=en-US&amp;anchor=here&amp;index=1&amp;md5=412fa889f393671c619479c0c1d8d2d3. Click or tap if you trust this link." href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcts.businesswire.com%2Fct%2FCT%3Fid%3Dsmartlink%26url%3Dhttps%253A%252F%252Fviavid.webcasts.com%252Fstarthere.jsp%253Fei%253D1757290%2526tp_key%253D2f21f16a70%26esheet%3D54486658%26newsitemid%3D20260409950592%26lan%3Den-US%26anchor%3Dhere%26index%3D1%26md5%3D412fa889f393671c619479c0c1d8d2d3&amp;data=05%7C02%7Cjasmin.nevarez%40simulations-plus.com%7Cda18cead288c4b60756108de9673ab9f%7Ca6fe9a739e054efcb9b3f4cc5eab196c%7C0%7C0%7C639113708216032875%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=6gkpfCxRpaT1nHQ7SnljE35dl5%2BNhSWNdFjyQ5l9ONI%3D&amp;reserved=0" target="_blank" rel="nofollow noopener noreferrer" shape="rect" data-auth="NotApplicable" data-ogsc="" data-linkindex="3">here</a> or by calling 1-877-451-6152 (domestic) or 1-201-389-0879 (international). The webcast can be accessed on the investor relations page of the Simulations Plus website <a title="Original URL: https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.simulations-plus.com%2Finvestorscorporate-profile%2Fcorporate-profile%2F&amp;esheet=54486658&amp;newsitemid=20260409950592&amp;lan=en-US&amp;anchor=https%3A%2F%2Fwww.simulations-plus.com%2Finvestorscorporate-profile%2Fcorporate-profile%2F&amp;index=2&amp;md5=6391a4f09340c8a8c02e004e1b9b20ba. Click or tap if you trust this link." href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcts.businesswire.com%2Fct%2FCT%3Fid%3Dsmartlink%26url%3Dhttps%253A%252F%252Fwww.simulations-plus.com%252Finvestorscorporate-profile%252Fcorporate-profile%252F%26esheet%3D54486658%26newsitemid%3D20260409950592%26lan%3Den-US%26anchor%3Dhttps%253A%252F%252Fwww.simulations-plus.com%252Finvestorscorporate-profile%252Fcorporate-profile%252F%26index%3D2%26md5%3D6391a4f09340c8a8c02e004e1b9b20ba&amp;data=05%7C02%7Cjasmin.nevarez%40simulations-plus.com%7Cda18cead288c4b60756108de9673ab9f%7Ca6fe9a739e054efcb9b3f4cc5eab196c%7C0%7C0%7C639113708216061629%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=KTb7%2B0ENqYJ4kJxkwm8BtnSUUFQHY60ZMVqnoNEqCqQ%3D&amp;reserved=0" target="_blank" rel="nofollow noopener noreferrer" shape="rect" data-auth="NotApplicable" data-ogsc="" data-linkindex="4">https://www.simulations-plus.com/investorscorporate-profile/corporate-profile/</a> where it will also be available for replay approximately one hour following the call.</p>
<p data-ogsc=""><b data-ogsc="">Non-GAAP Financial Measures</b></p>
<p data-ogsc="">This press release contains “non-GAAP financial measures,” which are measures that either exclude or include amounts that are not excluded or included in the most directly comparable measures calculated and presented in accordance with U.S. generally accepted accounting principles (“GAAP”).</p>
<p data-ogsc="">A further explanation and reconciliation of these non-GAAP financial measures is included below and in the financial tables in this release.</p>
<p data-ogsc="">The Company believes that the non-GAAP financial measures presented facilitate an understanding of operating performance and provide a meaningful comparison of its results between periods. The Company’s management uses non-GAAP financial measures to, among other things, evaluate its ongoing operations in relation to historical results, for internal planning and forecasting purposes, and in the calculation of performance-based compensation. Adjusted EBITDA and Adjusted Diluted EPS represent measures that we believe are customarily used by investors and analysts to evaluate the financial performance of companies in addition to the GAAP measures that we present. Our management also believes that these measures are useful in evaluating our core operating results. However, Adjusted EBITDA and Adjusted Diluted EPS are not measures of financial performance under accounting principles generally accepted in the United States of America and should not be considered an alternative to net income, operating income, or diluted EPS as indicators of our operating performance or to net cash provided by operating activities as a measure of our liquidity. We believe the Company’s Adjusted EBITDA and Adjusted Diluted EPS measures provide information that is directly comparable to that provided by other peer companies in our industry, but other companies may calculate non-GAAP financial results differently, particularly related to nonrecurring, unusual items.</p>
<p data-ogsc="">Please note that the Company has not reconciled the adjusted EBITDA or adjusted diluted earnings per share forward-looking guidance included in this press release to the most directly comparable GAAP measures because this cannot be done without unreasonable effort due to the variability and low visibility with respect to costs related to acquisitions, financings, and employee stock compensation programs, which are potential adjustments to future earnings. We expect the variability of these items to have a potentially unpredictable, and a potentially significant, impact on our future GAAP financial results.</p>
<p data-ogsc=""><span class="x_bwuline" data-ogsc="">Adjusted EBITDA</span></p>
<p data-ogsc="">Adjusted EBITDA represents net income excluding the effect of interest expense (income), provision (benefit) for income taxes, depreciation and amortization, equity-based compensation expense, loss (gain) on currency exchange, impairment charges, change in fair value of contingent consideration, reorganization expense, acquisition and integration expense, and other items not indicative of our ongoing operating performance.</p>
<p data-ogsc=""><span class="x_bwuline" data-ogsc="">Adjusted Net Income and Adjusted Diluted EPS</span></p>
<p data-ogsc="">Adjusted net income and adjusted diluted earnings per share exclude the effect of amortization, equity-based compensation expense, loss (gain) on currency exchange, impairment charges, change in fair value of contingent consideration, reorganization expense, acquisition and integration expense, and other items not indicative of our ongoing operating performance as well as the income tax provision adjustment for such charges.</p>
<p data-ogsc="">The Company excludes the above items because they are outside of the Company’s normal operations and/or, in certain cases, are difficult to forecast accurately.</p>
<p data-ogsc=""><a href="https://www.businesswire.com/news/home/20260409950592/en/Simulations-Plus-Reports-Second-Quarter-Fiscal-2026-Financial-Results">View full results here.</a></p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[SLP Earnings Presentation Q2FY26]]></title>
                        <link>https://www.simulations-plus.com/resource/slp-earnings-presentation-q2fy26/</link>
                        <pubDate>Thu, 09 Apr 2026 13:06:30 +0000</pubDate>
                                                <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45610</guid>
                        <description><![CDATA[]]></description>
                        <content:encoded><![CDATA[<p><a href="https://www.simulations-plus.com/wp-content/uploads/SLP-Earnings-Call-Deck-26.2-4.3.26.pdf" target="_blank" rel="noopener"><img loading="lazy" decoding="async" class="alignnone size-large wp-image-44462" src="https://www.simulations-plus.com/wp-content/uploads/Q2FY26_Earning_Call_SS.png" alt="" width="1024" height="576" /></a><br />
<a href="https://www.simulations-plus.com/wp-content/uploads/SLP-Earnings-Call-Deck-26.2-4.3.26.pdf" target="_blank" rel="noopener">Download Slides</a></p>
]]></content:encoded>
                                                                                            </item>
    
                                        <item>
                        <title><![CDATA[A Drug–Microbiome–Drug Interaction Impacts Co-Prescribed Medications for Parkinson’s Disease]]></title>
                        <link>https://www.simulations-plus.com/resource/microbiome-antimicrobial-resistance-evolution/</link>
                        <pubDate>Mon, 06 Apr 2026 14:24:37 +0000</pubDate>
                                                        <dc:creator>Verdegaal AA, Oh J, Javdan B, Wang R, Wu Q, Wang TRW, González-Hernández JA, Donia MS, Crawford J, Goodman AL</dc:creator>
                                                    <guid isPermaLink="false">https://www.simulations-plus.com/?post_type=resource&#038;p=45657</guid>
                        <description><![CDATA[<p>Simultaneous prescription of multiple drugs is widespread in medicine. Although the gut microbiome is implicated in drug responses, its role in mediating drug–drug interactions is unexplored</p>
]]></description>
                        <content:encoded><![CDATA[<h2 id="Abs1" class="c-article-section__title js-section-title js-c-reading-companion-sections-item">Abstract</h2>
<div id="Abs1-content" class="c-article-section__content">
<p>Simultaneous prescription of multiple drugs is widespread in medicine. Although the gut microbiome is implicated in drug responses, its role in mediating drug–drug interactions is unexplored. Catechol-O-methyltransferase inhibitors (COMT-I), a class of drugs used alongside levodopa (L-DOPA) to treat Parkinson’s disease symptoms, can alter microbiome composition in patients. Here we characterize the antibiotic properties of COMT-I drugs in vitro, ex vivo and in vivo and dissect how these interactions alter microbiome-mediated L-DOPA metabolism in vitro and ex vivo. Notably, in vitro iron availability determines COMT-I antibiotic activity at multiple levels: extracellular iron can drive non-enzymatic inactivation of COMT-I, rescuing COMT-I-mediated bacterial iron starvation responses. However, limitation of intracellular iron can protect sensitive bacteria from COMT-I antibiotic activity. Co-administration of COMT-I and L-DOPA to human faecal microbial communities ex vivo results in COMT-I-dependent alterations to L-DOPA metabolism in an individual-specific manner. These studies highlight a role for the gut microbiome in mediating drug–drug interactions and identify microbial features that could predict individual responses to co-prescribed drugs.</p>
<p>By Andrew A. Verdegaal, Joonseok Oh, Bahar Javdan, Ruojun Wang, Qihao Wu, Timothy R. W. Wang, Jaime A. González-Hernández, Mohamed S. Donia, Jason M. Crawford &amp; Andrew L. Goodman</p>
</div>
]]></content:encoded>
                                                                                            </item>
    
                    

    </channel>
</rss>
        