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The Data-Driven Future of Drug Development

DrugBank

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.

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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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Assessment of AI-generated chemical structures using ML

Molecular Design

Previous Next In an earlier post I considered what it might mean to describe drug design as AI-based. In that earlier post I noted that there’s a bit more to drug design than simply generating novel molecular structures and suggesting how the compounds should be synthesized.

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Game-changing pan-TEAD inhibitor for solid tumours

Drug Target Review

TEAD proteins are crucial for tumour progression and drug resistance, making them an attractive focus for therapeutic interventions. 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.

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We Need Better Benchmarks for Machine Learning in Drug Discovery

Practical Cheminformatics

Most papers describing new methods for machine learning (ML) in drug discovery report some sort of benchmark comparing their algorithm and/or molecular representation with the current state of the art. Most pharmaceutical compounds tend to have solubilities somewhere between 1 and 500 µM. We want to design drugs that are safe.

Drugs 84
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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. Even if they did, they needed to articulate the implications for drug design a lot more clearly than they have done.

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Metabolism of five membered nitrogen containing heterocycles

Metabolite Tales Blog

2 Figure 1 Not only does the carboxylic acid moiety of the infamous drug zomepirac undergo conjugation to an unstable acyl glucuronide, the pyrrole undergoes oxidative metabolism to an epoxide intermediate that can be trapped by glutathione (Figure 2). 2a Figure 2 Also reported are more complex “per-oxidative” oxidations.