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20242026
most citedAssessing the Chemical Intelligence of Large Language Models

2 citations · 4 across the 8 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

Inference-Time Projection for Physically Valid Biomolecular Diffusion Models

Qurat-ul-ain, Yee Whye Teh, Charlotte M. Deane +1

AlphaFold 3-style cofolding models predict biomolecular complexes with high structural accuracy, yet a large fraction of their outputs are physically invalid: chains overlap at int…

cs.SE2026

NISPO: Open-source IUPAC name generation tool

Nicholas T. Runcie, Fergus Imrie, Charlotte M. Deane

Systematic International Union of Pure and Applied Chemistry (IUPAC) names are standard for communicating molecular structures in chemical literature, patents, and databases. We in…

cs.LG2026

Design-CP: Context Parallelism for Design of Protein Nanoparticles

Lorenzo Tarricone, Helen E. Eisenach, Aiko Muraishi +1

Many all-atom generative protein models can in principle design large multimeric complexes by jointly modelling all chains, but their quadratic token- and atom-pair representations…

cs.LG2026

On Improving Graph Neural Networks for QSAR by Pre-training on Extended-Connectivity Fingerprints

Sam Money-Kyrle, Markus Dablander, Thierry Hanser +3

Molecular Graph Neural Networks (GNNs) are increasingly common in drug discovery, particularly for Quantitative Structure-Activity Relationship (QSAR) studies; yet, their superiori…

cs.LG2026★ 1 cited

Molecular Representations for Large Language Models

Nicholas T. Runcie, Fergus Imrie, Charlotte M. Deane

Large Language Models (LLMs) are increasingly being used to support scientific discovery. In chemistry, tasks such as reaction prediction and structure elucidation require reasonin…