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20112026
most citedDirect-coupling analysis of residue co-evolution captures native contacts across many protein families

1.6k citations

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5 papers · 1 filter

q-bio.BM2024★ 4 cited

Fluctuations and the limit of predictability in protein evolution

Saverio Rossi, Leonardo Di Bari, Martin Weigt +1

Protein evolution involves mutations occurring across a wide range of time scales. In analogy with disordered systems in statistical physics, this dynamical heterogeneity suggests…

math.AP2024

Noisy integrate-and-fire equation: continuation after blow-up

Xu'An Dou, Benoît Perthame, Delphine Salort +1

The integrate and fire equation is a classical model for neural assemblies which can exhibit finite time blow-up. A major open problem is to understand how to continue solutions af…

cs.CL2024★ 5 cited

Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning

Yilin Gao, Sai Kumar Arava, Yancheng Li +1

Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be d…

math-ph2024★ 1 cited

Compositional statistical mechanics, entropy and variational inference

Grégoire Sergeant-Perthuis

In this document, we aim to gather various results related to a compositional/categorical approach to rigorous Statistical Mechanics. Rigorous Statistical Mechanics is centered on…

q-bio.BM2024★ 29 cited

Emergent time scales of epistasis in protein evolution

Leonardo Di Bari, Matteo Bisardi, Sabrina Cotogno +2

We introduce a data-driven epistatic model of protein evolution, capable of generating evolutionary trajectories spanning very different time scales reaching from individual mutati…