Tong Wang
Tong Wang
Microsoft Research
Verified email at - Homepage
Cited by
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Protein structure prediction beyond AlphaFold
GW Wei
Nature Machine Intelligence 1 (8), 336-337, 2019
Structural insights into the SARS-CoV-2 Omicron RBD-ACE2 interaction
J Lan, X He, Y Ren, Z Wang, H Zhou, S Fan, C Zhu, D Liu, B Shao, TY Liu, ...
Cell research 32 (6), 593-595, 2022
DSN-DDI: an accurate and generalized framework for drug–drug interaction prediction by dual-view representation learning
Z Li, S Zhu, B Shao, X Zeng, T Wang, TY Liu
Briefings in Bioinformatics 24 (1), bbac597, 2023
Direct molecular conformation generation
J Zhu, Y Xia, C Liu, L Wu, S Xie, Y Wang, T Wang, T Qin, W Zhou, H Li, ...
arXiv preprint arXiv:2202.01356, 2022
Improved fragment sampling for ab initio protein structure prediction using deep neural networks
T Wang, Y Qiao, W Ding, W Mao, Y Zhou, H Gong
Nature Machine Intelligence 1 (8), 347-355, 2019
Loss of Spike N370 glycosylation as an important evolutionary event for the enhanced infectivity of SARS-CoV-2
S Zhang, Q Liang, X He, C Zhao, W Ren, Z Yang, Z Wang, Q Ding, ...
Cell research 32 (3), 315-318, 2022
A single whey acidic protein domain containing protein (SWD) inhibits bacteria invasion and dissemination in shrimp Marsupenaeus japonicus
HS Jiang, C Sun, T Wang, XF Zhao, JX Wang
Fish & shellfish immunology 35 (2), 310-318, 2013
Exploring the Regulatory Function of the N‐terminal Domain of SARS‐CoV‐2 Spike Protein through Molecular Dynamics Simulation
Y Li, T Wang, J Zhang, B Shao, H Gong, Y Wang, X He, S Liu, TY Liu
Advanced theory and simulations 4 (10), 2100152, 2021
Structural and computational insights into the SARS-CoV-2 Omicron RBD-ACE2 interaction
J Lan, X He, Y Ren, Z Wang, H Zhou, S Fan, C Zhu, D Liu, B Shao, TY Liu, ...
BioRxiv, 2022.01. 03.474855, 2022
ViSNet: a scalable and accurate geometric deep learning potential for molecular dynamics simulation
Y Wang, S Li, X He, M Li, Z Wang, N Zheng, B Shao, TY Liu, T Wang
arXiv preprint arXiv:2210.16518 178, 2022
LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction
T Wang, Y Yang, Y Zhou, H Gong
Bioinformatics 33 (5), 677-684, 2017
Long-short-range message-passing: A physics-informed framework to capture non-local interaction for scalable molecular dynamics simulation
Y Li, Y Wang, L Huang, H Yang, X Wei, J Zhang, T Wang, Z Wang, B Shao, ...
arXiv preprint arXiv:2304.13542, 2023
Improving machine learning force fields for molecular dynamics simulations with fine-grained force metrics
Z Wang, H Wu, L Sun, X He, Z Liu, B Shao, T Wang, TY Liu
The Journal of chemical physics 159 (3), 2023
Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing
Y Wang, T Wang, S Li, X He, M Li, Z Wang, N Zheng, B Shao, TY Liu
Nature Communications 15 (1), 313, 2024
AIMD-Chig: Exploring the conformational space of a 166-atom protein Chignolin with ab initio molecular dynamics
T Wang, X He, M Li, B Shao, TY Liu
Scientific Data 10 (1), 549, 2023
Improved drug–target interaction prediction with intermolecular graph transformer
S Liu, Y Wang, Y Deng, L He, B Shao, J Yin, N Zheng, TY Liu, T Wang
Briefings in Bioinformatics 23 (5), bbac162, 2022
Identification of residue pairing in interacting β-strands from a predicted residue contact map
W Mao, T Wang, W Zhang, H Gong
BMC bioinformatics 19, 1-19, 2018
Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning
H Zhang, S Liu, J You, C Liu, S Zheng, Z Lu, T Wang, N Zheng, B Shao
Nature Computational Science 4 (3), 210-223, 2024
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge@ NeurIPS 2022
Y Wang, S Li, Z Wang, X He, B Shao, TY Liu, T Wang
arXiv preprint arXiv:2211.12791, 2022
SAMF: a self-adaptive protein modeling framework
W Ding, Q Xu, S Liu, T Wang, B Shao, H Gong, TY Liu
Bioinformatics 37 (22), 4075-4082, 2021
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