Search Results for author: Kieran Didi

Found 3 papers, 1 papers with code

Benchmarking Generated Poses: How Rational is Structure-based Drug Design with Generative Models?

2 code implementations14 Aug 2023 Charles Harris, Kieran Didi, Arian R. Jamasb, Chaitanya K. Joshi, Simon V. Mathis, Pietro Lio, Tom Blundell

Deep generative models for structure-based drug design (SBDD), where molecule generation is conditioned on a 3D protein pocket, have received considerable interest in recent years.

Benchmarking

On How AI Needs to Change to Advance the Science of Drug Discovery

no code implementations23 Dec 2022 Kieran Didi, Matej Zečević

Research around AI for Science has seen significant success since the rise of deep learning models over the past decade, even with longstanding challenges such as protein structure prediction.

Drug Discovery Protein Structure Prediction

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