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

Practical Cheminformatics

Following up on Part I and Part II, the third post in this series is a collection of review articles published in 2023 that I found helpful.

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Patent Highlights: Allosteric AR Modulators, Glycogen Synthase Inhibitors, and More

Drug Hunter

This article highlights million-dollar molecules that were recently in the news with related patent applications that give clues to their structures and properties. Drug Hunter Premium is drug discovery, distilled, so you can quickly catch up and make informed decisions based on industry examples.

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How the AI revolution can accelerate early drug discovery

Drug Target Review

“AI will not replace drug discovery scientists, but drug discovery scientists who use AI will replace those who don’t” – comment during EFMC meeting 2018 Progressing a drug molecule from concept to commercialisation typically takes 10-15 years and has high associated costs of up to $2 billion per launched drug, if all failures are factored in.

Drugs 105
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Accelerated Computing Holds the Key to Democratized Drug Discovery

Nvidia Developer: Drug Discovery

The field of drug discovery is at a fascinating inflection point. The field of drug discovery is at a fascinating inflection point. Eroom’s Law observes that drug discovery is becoming slower and more expensive over time, despite improvements in technology.

Drugs 52
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Reaching cruising altitude: New discovery tools to target RNA

Dark Matter Blog

The majority of small molecule drugs induce their therapeutic effects by seeking out and binding to their intended target while avoiding most other molecules in the dense milieu of the cell interior. To this end, we selected a known rSM-RNA system, Aptamer 21, which possessed several attractive features.

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Why fragments?

Molecular Design

Fragment-based lead discovery (FBLD) actually has origins in both crystallography [ V1992 | A1996 ] and computational chemistry [ M1991 | B1992 | E1994 ]. My view of thermodynamic signature characterization in drug discovery is that it’s, in essence, a solution that’s desperately seeking a problem.

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Five days in Vermont

Molecular Design

The five days spent discussing computer-aided drug design (CADD) in Vermont are what I’ll be covering in this post and I think it’s worth saying something about what drugs need to do in order to function safely. It is indeed a small world.