Advancements in In Silico ADMET Modeling: A 20-Year Journey of Machine Learning in Drug Discovery at Bayer Pharma

Over the past two decades, Bayer Pharma has developed an in silico absorption, distribution, metabolism, and excretion (ADMET) platform with the aim of generating models for various pharmacokinetic and physicochemical endpoints in early drug discovery. This platform is accessible to all scientists within the company and has proven valuable in assisting with the selection and […] Source

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DrugPatentWatch serves leading companies ranging from biopharmaceutical R&D to healthcare delivery, and has been cited by CNN, NEJM, Nature Journals, and many other leading publications. Use cases for the DrugPatentWatch platform include: - Branded pharmaceutical global business intelligence and forecasting - Generic drug and API manufacturer portfolio management - Wholesalers preventing overstock of off-patent drugs - Healthcare payer formulary management and budget management