activity
20232026
most citedOn the temperature dependence of the density of states of liquids at low energies

11 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Self-evolving AI agents for protein discovery and directed evolution

Yang Tan, Lingrong Zhang, Mingchen Li +5

Protein scientific discovery is bottlenecked by the manual orchestration of information and algorithms, while general agents are insufficient in complex domain projects. VenusFacto…

q-bio.QM2026

Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction

Yang Tan, Yuanxi Yu, Can Wu +7

Zero-shot mutation prediction is vital for low-resource protein engineering, yet existing protein language models (PLMs) often yield statistically confident results that ignore fun…

q-bio.QM2025

VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data

Liang Zhang, Hua Pang, Chenghao Zhang +11

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (…

q-bio.BM2024★ 3 cited

Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning

Ziyi Zhou, Liang Zhang, Yuanxi Yu +3

Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Recently, due to their capacity and representation ability, pre-trained protein l…

q-bio.BM2023★ 1 cited

Pro-PRIME: A general Temperature-Guided Language model to engineer enhanced Stability and Activity in Proteins

Fan Jiang, Mingchen Li, Jiajun Dong +23

Designing protein mutants of both high stability and activity is a critical yet challenging task in protein engineering. Here, we introduce PRIME, a deep learning model, which can…

cond-mat.soft2023★ 9 cited

Emergence of Debye scaling in the density of states of liquids under nanoconfinement

Yuanxi Yu, Sha Jin, Xue Fan +4

In the realm of nanoscience, the dynamic behaviors of liquids at scales beyond the conventional structural relaxation time, , unfold a fascinating blend of solid-like characteri…

cond-mat.soft2023★ 11 cited

On the temperature dependence of the density of states of liquids at low energies

Sha Jin, Xue Fan, Caleb Stamper +5

We report neutron-scattering measurements of the density of states (DOS) of water and liquid Fomblin in a wide range of temperatures. In the liquid phase, we confirm the presence o…