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

Practical Cheminformatics

Property Prediction Machine Learning Methods for Small Data Challenges in Molecular Science [link] Practical guidelines for the use of gradient boosting for molecular property prediction [link] Application of message passing neural networks for molecular property prediction [link] Molecular Similarity Molecular Similarity: Theory, Applications, and (..)

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Key industry partnerships advancing drug discovery

Drug Discovery World

Anagenex and Nimbus Therapeutics Anagenex and Nimbus Therapeutics have initiated a research collaboration to discover small molecule drugs for multiple challenging targets. The Chan Lab at UT Southwestern will enhance PhenoScope’s tumour bank with spatial transcriptomic data and provide bioinformatic analytic expertise.

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Looking ahead to AACR  

Drug Discovery World

These topics will be represented across a range of session types, including methods workshops, minisymposia, poster and plenary sessions, as well as keynotes, awards and lectures.

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Therapeutic antibody potential in 2024

Drug Discovery World

The company also partnered with a top 20 pharma company and has been successful in identifying antibody candidates for a target of interest, with greater diversity (2.3x) and accuracy compared to alternative bioinformatics pipeline selection methods.

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Exscientia extends capabilities beyond small molecules 

Drug Discovery World

Bioinformatics 2021 . The post Exscientia extends capabilities beyond small molecules appeared first on Drug Discovery World (DDW). References . Abanades et al.

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New to ELRIG Drug Discovery 2022: Tech Theatre supported by DDW

Drug Discovery World

He holds a PhD in Medicine from Leiden University, and an MSc in Bioinformatics and Artificial Intelligence from Brunel University. He has over 12 years of experience in the healthcare sector and is the author of over 30 peer- reviewed scientific articles. Fellowship Programme.

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Biochemical assays and deep cyclic inhibition in cancer treatment

Drug Target Review

Once a new drug target is identified, a proprietary deep learning artificial intelligence (AI) platform we call Fluency can rapidly identify small molecules that selectively bind to a target of interest. Our assays and bioinformatics modelling can help identify certain indications that are appropriate for DCI while ruling others out.