3 papers
q-bio.QM2026
Expanding functional protein sequence space using high entropy generative models
Roberto Netti, Emily Hinds, Francesco Calvanese +3
Boltzmann Machines trained on evolutionary sequence data have emerged as a powerful paradigm for the data-driven design of artificial proteins. However, the relationship between mo…
physics.bio-ph2025
Simple biological controllers drive the evolution of soft modes
Christopher Joel Russo, Kabir Husain, Rama Ranganathan +2
Biological systems, with many interacting components, face high-dimensional environmental fluctuations, ranging from diverse nutrient deprivations to toxins, drugs, and physical st…
q-bio.BM2024
A Unified View of Allostery
Eric Rouviere, Olivier Rivoire, Rama Ranganathan
Allostery is a fundamental property of proteins that represents the functional coupling between distantly located sites. In different manifestations, this property underlies signal…