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Simulations Plus Positioned to Capitalize on FDA’s Streamlined Nonclinical Safety Guidance with Advanced Mechanistic and Model-Informed Solutions

via Business Wire

Validated engines and AI-orchestrated ecosystem align with the emerging regulatory framework

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drug development that advances biopharma innovation, today responded to the U.S. Food and Drug Administration’s draft guidance on streamlined nonclinical safety studies for monospecific monoclonal antibodies. The guidance encourages reduced reliance on animal studies and elevates mechanistic understanding, pharmacokinetics, and integrated weight-of-evidence (WoE) assessments for nonclinical decision-making.

“The FDA’s draft guidance signals a clear regulatory mandate towards mechanistic, model-informed science, and Simulations Plus is uniquely positioned to help clients respond with confidence,” said Shawn O’Connor, Chief Executive Officer of Simulations Plus. “Our scientific engines, workflows, and cross-disciplinary capabilities have supported these integrated approaches for years.”

Mechanistic WoE Approaches Already Embedded in Simulations Plus’ Practice

Simulations Plus enables clients to integrate physiologically based pharmacokinetics (PBPK), quantitative systems toxicology/pharmacology (QST/QSP), clinical pharmacokinetics (PK), and mechanistic insights to support WoE assessments aligned with FDA-recommended approaches. This includes PBPK modeling in GastroPlus® to project human exposure and guide dose selection, mechanistic toxicity assessment in BIOLOGXsym™, and population modeling in MonolixSuite® to connect preclinical and clinical understanding.

Case studies published in the International Journal of Molecular Sciences, Pharmaceutics, and elsewhere show how combining PBPK and QST can strengthen the scientific rationale for streamlined nonclinical strategies for monospecific antibodies, including determining when extended non-human primate toxicology studies may not be warranted.

Ecosystem-Level Alignment with the New Regulatory Paradigm

The Simulations Plus ecosystem aligns with the FDA’s focus on mechanistic, model-informed evidence. Its validated scientific engines—including GastroPlus, MonolixSuite, ADMET Predictor®, and QSP platforms—provide the transparency, traceability and cross-domain mechanistic reasoning regulators expect. Supporting this scientific core is an AI-orchestrated framework that enables reproducible multi-engine workflows and guided decision support through AI copilots, all grounded in validated methods.

Continued investment in biologics modeling, including planned enhancements to GastroPlus and BIOLOGXsym, will expand support for monoclonal antibodies, antibody-drug conjugates, and immune-related pathways highlighted in recent FDA guidances.

“The draft guidance gives the industry a clear direction, and as model-informed safety and toxicology become essential disciplines, a new growth frontier opens for Simulations Plus in areas of our customer organization which have historically been underpenetrated,” said O’Connor. “Our mission is to help innovators navigate this transition with clarity, rigor, and confidence.”

About Simulations Plus, Inc.

Simulations Plus is a global leader in model-informed and AI-accelerated drug development. We create value for our clients by accelerating the discovery, development, and commercialization of pharmaceuticals and other products through innovative science-based software and consulting solutions. For more information, visit www.simulations-plus.com.

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Forward-Looking Statements

Except for historical information, the matters discussed in this press release are forward-looking statements that involve risks and uncertainties. Words like “believe,” “will”, “can”, “believe”, “expect,” “anticipate” and similar expressions (or the negative of such terms, as well as other words or expressions referencing future events, conditions or circumstances) mean that these are our best estimates as of this writing, but there can be no assurances that expected or anticipated results or events will actually take place, so our actual future results could differ significantly from those statements. These forward-looking statements are based on current assumptions and expectations that involve risks and uncertainties that could cause the actual results to differ materially from those expressed or implied. Factors that could cause or contribute to such differences include, but are not limited to: effectiveness of our new internal operational structure, our ability to maintain our competitive advantages and commercialize AI and cloud-enabled solutions, evolving regulatory and data privacy standards governing AI technologies, acceptance of new software and improved versions of our existing software by our customers, the general economics of the pharmaceutical industry, our ability to finance growth, our ability to continue to attract and retain highly qualified technical staff, market conditions, macroeconomic factors, and a sustainable market. Further information on our risk factors is contained in our quarterly, annual and current reports and filed with the U.S. Securities and Exchange Commission.

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