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Yumeng Yan

Researcher at Huazhong University of Science and Technology

Publications -  26
Citations -  1644

Yumeng Yan is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Docking (molecular) & Macromolecular docking. The author has an hindex of 10, co-authored 20 publications receiving 737 citations.

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HDOCK: a web server for protein-protein and protein-DNA/RNA docking based on a hybrid strategy.

TL;DR: Tested on the cases with weakly homologous complexes of <30% sequence identity from five docking benchmarks, the HDOCK pipeline tied with template-based modeling on the protein–protein and protein–DNA benchmarks and performed better than template- based modelingon the three protein–RNA benchmarks when the top 10 predictions were considered.
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The HDOCK server for integrated protein-protein docking.

TL;DR: The HDOCK server is developed for template-based and template-free protein–protein docking, using amino acid sequences or PDB structures as inputs, and can incorporate SAXS data and can be applied to protein–RNA/DNA docking.
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Molecular Mechanism of Evolution and Human Infection with SARS-CoV-2.

TL;DR: It was found that SARS-CoV-2 binds ACE2 with a higher affinity than SARS -CoV, which may partly explain that SARs-Cov-2 is much more infectious than Sars- coV, and the computation suggested that the RBD-ACE2 binding for SARS-Co V-2 was much more temperature-sensitive than that for SARS/CoV.
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Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment.

Marc F. Lensink, +111 more
- 14 Oct 2019 - 
TL;DR: CAPRI Round 46 indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
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Addressing recent docking challenges: A hybrid strategy to integrate template-based and free protein-protein docking.

TL;DR: A Hybrid DOCKing protocol of template‐based and template‐free approaches, referred to as HDOCK, which made correct predictions on other CAPRI challenges such as protein–peptide binding for 6 out of 8 targets and water predictions for 2 out of 2 targets.