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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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Some Thoughts on Biotech vs Pharma for Computational Chemists

Practical Cheminformatics

A recent editorial by Dean Brown in J Med Chem and follow-up posts by Keith Hornberger and Derek Lowe prompted me to think about how we train computational chemists and cheminformaticians for careers in drug discovery. It also brought to mind some unique differences between how computational chemistry is practiced in biotech and pharma.

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The Book of Nimbus

LifeSciVC

The premise at the time was that putting computational chemistry in the primary position for new molecule ideation would upend the drug discovery paradigm. set up a “virtual project team,” leverage Schrödinger scientists to lead computational chemistry, and do all the wet work at CROs. It did just that.

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Women in Stem with Dr Rachel Lagiakos

Drug Target Review

Working at the intersection of medicinal and computational chemistry as an early adopter of integrating in silico tools into the discovery process, I’ve seen first hand the technological advances that have been made over the past five-plus years. The field is currently exploding making it an exciting time to be a contributor to it.