activity
20202023
most citedivis Dimensionality Reduction Framework for Biomacromolecular Simulations

20 citations · 28 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2023

PASSerRank: Prediction of Allosteric Sites with Learning to Rank

Hao Tian, Sian Xiao, Xi Jiang +1

Allostery plays a crucial role in regulating protein activity, making it a highly sought-after target in drug development. One of the major challenges in allosteric drug research i…

q-bio.QM2022★ 2 cited

LAST: Latent Space Assisted Adaptive Sampling for Protein Trajectories

Hao Tian, Xi Jiang, Sian Xiao +3

Molecular dynamics (MD) simulation is widely used to study protein conformations and dynamics. However, conventional simulation suffers from being trapped in some local energy mini…

q-bio.BM2022★ 4 cited

Accurate ADMET Prediction with XGBoost

Hao Tian, Rajas Ketkar, Peng Tao

The absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties are important in drug discovery as they define efficacy and safety. In this work, we applied an…

q-bio.BM2020★ 2 cited

Deciphering the Protein Motion of S1 Subunit in SARS-CoV-2 Spike Glycoprotein Through Integrated Computational Methods

Hao Tian, Peng Tao

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a major worldwide public health emergency that has infected over million people. The partially open…

q-bio.QM2020★ 20 cited

ivis Dimensionality Reduction Framework for Biomacromolecular Simulations

Hao Tian, Peng Tao

Molecular dynamics (MD) simulations have been widely applied to study macromolecules including proteins. However, high-dimensionality of the datasets produced by simulations makes…