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The Data-Driven Future of Drug Development

DrugBank

By harnessing the vast amounts of data generated throughout the development pipeline, pharmaceutical companies can accelerate the discovery of novel therapies, optimize clinical trial design, enhance drug safety monitoring, and deliver personalized medicine, ultimately improving patient outcomes and transforming the future of healthcare.

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Game-changing pan-TEAD inhibitor for solid tumours

Drug Target Review

Leveraging AI-guided structure-based drug design, Insilico’s research and development team generated an impressive portfolio of over 6,000 molecules and identified three highly promising hit series. He is an adjunct professor of artificial intelligence at the Buck Institute for Research on Aging.

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How the AI revolution can accelerate early drug discovery

Drug Target Review

Training AI/ML tools to predict results of otherwise complex and time-consuming calculations is gaining traction in pharmaceutical R&D. To really benefit from AI, the pharmaceutical industry must be more open to data sharing. Research and Development in the Pharmaceutical Industry | Congressional Budget Office [Internet].

Drugs 105
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Efficient trajectories

Molecular Design

While the Ro5 article highlighted molecular size and lipophilicity as pharmaceutical risk factors, the rule itself is actually of limited utility as a drug design tool. The orchids in Blanchisseuse have been particularly good this year and I’ll include some photos of them to break the text up a bit.

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We Need Better Benchmarks for Machine Learning in Drug Discovery

Practical Cheminformatics

Most pharmaceutical compounds tend to have solubilities somewhere between 1 and 500 µM. Over the last 40 years, the pharmaceutical industry has developed a wide range of invitro and invivo assays for assessing the safety of drug candidates. This is not the case for the ESOL aqueous solubility dataset in MoleculeNet.

Drugs 84
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Metabolism of five membered nitrogen containing heterocycles

Metabolite Tales Blog

Bicyclic structures containing five membered rings such as indoles, consisting of a six-membered benzene ring fused to a five-membered pyrrole ring, are also increasingly relevant as growing research fields such as psychedelics make use of these scaffolds, often found in natural products. 2017, 30, 1, 13–37 [link] 2a Drug Metab.

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AI in Drug Discovery 2023 - A Highly Opinionated Literature Review (Part I)

Practical Cheminformatics

The papers covered here reflect my research interests and biases, and I’ve certainly overlooked areas that others consider vital. To overcome some of these issues, Joeres and coworkers at the Helmholtz Institute for Pharmaceutical Research Saarland developed Data Splitting Against Information Leakage (DataSAIL).

Drugs 137