Shengyou Huang

Molecular Biology · 2006–2021

A researcher in the Science corpus: 14 papers; trusts 115 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 311 citations into it; #671 of 17,773 by trust here, #3,533 by citations
• Computational Theory and Mathematics — 201 citations into it; #620 of 12,182 by trust here, #574 by citations
• Materials Chemistry — 136 citations into it; #1,508 of 11,513 by trust here, #7,007 by citations
• Computational Chemistry & Drug Discovery — 105 citations into it; #68 of 425 by trust here, #192 by citations
• Computational Biology & Bioinformatics — 61 citations into it
• Organic Chemistry — 43 citations into it; #91 of 1,495 by trust here, #449 by citations
• Radiology, Nuclear Medicine and Imaging — 30 citations into it
• Spectroscopy — 21 citations into it

Whom Shengyou Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rong Chen
2. Xiaoqin Zou
3. Zhiping Weng
4. Joël Janin
5. Hans-Joachim Böhm
6. Ajay N. Jain
7. Ruben Abagyan
8. Claudio N. Cavasotto
9. S. Parasuraman
10. Martin Zacharias

Who trusts Shengyou Huang overall

1. Xiaoqin Zou
2. Yumeng Yan
3. Pei-Zhang Zhou
4. Sérgio Filipe Sousa
5. Xing Du
6. L. Ferreira
7. David K. Johnson
8. Veronica Salmaso
9. Huanyu Tao
10. Maria Batool

Papers from Shengyou Huang's perspective

Ordered by how strongly the researchers Shengyou Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
2. A protein–protein docking benchmark (Proteins: Structure, Function, and Bioinformatics)
3. Protein data bank
4. Docking and scoring protein complexes: CAPRI 3rd Edition
5. The Protein Data Bank.
6. TM-align: a protein structure alignment algorithm based on the TM-score
7. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
8. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
9. Principles of protein-protein interactions (European Conference on Computational Biology)
10. DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases

Their papers

• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• HDOCK: a web server for protein–protein and protein–DNA/RNA docking based on a hybrid strategy (2017) — 1,262 citations
• Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
• An iterative knowledge‐based scoring function for protein–protein recognition (2008) — 317 citations
• Advances and Challenges in Protein-Ligand Docking (2010) — 560 citations
• Scoring functions and their evaluation methods for protein-ligand docking: recent advances and future directions. (2010) — 453 citations
• An iterative knowledge‐based scoring function to predict protein–ligand interactions: II. Validation of the scoring function (2006) — 152 citations
• Comprehensive assessment of flexible‐ligand docking algorithms: current effectiveness and challenges (2018) — 57 citations
• Ensemble docking of multiple protein structures: Considering protein structural variations in molecular docking (2006) — 373 citations
• MDockPP: A hierarchical approach for protein-protein docking and its application to CAPRI rounds 15–19 (2010) — 82 citations
• HSYMDOCK: a docking web server for predicting the structure of protein homo-oligomers with Cn or Dn symmetry (2018) — 50 citations
• HPEPDOCK: a web server for blind peptide–protein docking based on a hierarchical algorithm (2018) — 529 citations
• HybridDock: A Hybrid Protein-Ligand Docking Protocol Integrating Protein- and Ligand-Based Approaches (2016) — 39 citations
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations