DrugBank

OCTOBER 17, 2024

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. These complex molecules require precise engineering to ensure optimal efficacy and safety.

Drug Development 98

Drug Development Metabolic Stability Clinical Trials Drugs 98

Practical Cheminformatics

AUGUST 3, 2023

Initially, I would recommend aqueous solubility, membrane permeability, in vitro metabolic stability, and biochemical assays. Numerous academic computer science groups have entered the field and applied cutting-edge deep learning techniques to life science-related problems. I have a few ideas.

Drugs 93

Drugs Biochemical Assays Metabolic Stability Screening Hits 93

Metabolite Tales Blog

MARCH 1, 2023

1994, 22, 659-662 [link] 18a Xenobiotica , 1986, 16, 11-20 [link] 18b Wood and Fibre Science. 44, 797–814 [link] Take a look at our other blogs The post Metabolism of five membered nitrogen containing heterocycles appeared first on Hypha Discovery. 1997, 25, 863-872 [link] 17a Drug Metab. 1994, 22, 651-658 [link] 17b Drug Metab.

Metabolic Stability 52

Metabolic Stability Drugs Pharmacokinetics Science 52

Drug Target Review

JANUARY 16, 2025

About the authors Ann E Cleves Ann is VP of Application Science for Optibrium s BioPharmics Division, which focuses on 3D computational modelling for molecular design. He has a PhD in Computer Science from Carnegie Mellon University. Cyclic Peptide Design, Chapter 2: Strategies to Enhance Metabolic Stabilities.

Drug Development 52

Drug Development Small Molecule Drugs FDA Approval 52