Geometric Deep Learning for Molecular Modelling and Design: A personal scientific journey

YouTube video by Chaitanya K. Joshi

How we designed catalytic RNA functions, and what I learned holding a pipette at the MRC Laboratory of Molecular Biology.

Generative machine learning (ML) models hold great promise for accelerating materials discovery through the inverse design of inorganic crystals, enabling an unprecedented exploration of chemical spac...

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Dynamics, black-box data, and the antedisciplinary frontier of biomolecule design

Deep learning methods trained on protein structure databases have revolutionized biomolecular structure prediction, but developing and training new models remains a considerable challenge. To facilita...

Workshop on Machine Learning in Structural Biology co-located with NeurIPS 2025

Are multi-modal molecular foundation models learning transferable representations across biology and chemistry?

How does a cell know when it’s been damaged? A molecular alarm, set off by mutated RNA and colliding ribosomes, signals danger.

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On drifting goals, fresh frontiers, and a bittersweet lesson we are slowly learning

Postdoctoral Scientist Salary £41,344 per annum  Fixed Term – 3 years MRC Laboratory of Molecular Biology, Cambridge, UK We are looking for a postd...

When should you bake symmetries into your architecture versus just scaling up — an attempt at a nuanced take.

Chemists at UCL and the MRC Laboratory of Molecular Biology have demonstrated how RNA (ribonucleic acid) might have replicated itself on early Earth – a key process in the origin of life.

Nature Chemistry - Models of abiotic RNA replication suffer from inherent product inhibition arising from the high stability of RNA duplexes. Now, it has been shown that RNA trinucleotide...

Consistently accurate 3D nucleic acid structure prediction would facilitate studies of the diverse RNA and DNA molecules underlying life. In CASP16, blind predictions for 42 targets canvassing a full ...