| The I-TASSER Suite: protein structure and function prediction J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang Nature methods 12 (1), 7-8, 2015 | 6240 | 2015 |
| I-TASSER server: new development for protein structure and function predictions J Yang, Y Zhang Nucleic acids research 43 (W1), W174-W181, 2015 | 2532 | 2015 |
| Improved protein structure prediction using predicted interresidue orientations J Yang, I Anishchenko, H Park, Z Peng, S Ovchinnikov, D Baker Proceedings of the National Academy of Sciences, 2020 | 1396 | 2020 |
| Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment J Yang, A Roy, Y Zhang Bioinformatics 29 (20), 2588-2595, 2013 | 993 | 2013 |
| COFACTOR: an accurate comparative algorithm for structure-based protein function annotation A Roy, J Yang, Y Zhang Nucleic acids research 40 (W1), W471-W477, 2012 | 831 | 2012 |
| BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions J Yang, A Roy, Y Zhang Nucleic acids research 41 (D1), D1096-D1103, 2013 | 747 | 2013 |
| Protein Structure and Function Prediction Using I‐TASSER J Yang, Y Zhang Current Protocols in Bioinformatics, 5.8. 1-5.8. 15, 2015 | 567 | 2015 |
| The trRosetta server for fast and accurate protein structure prediction Z Du, H Su, W Wang, L Ye, H Wei, Z Peng, I Anishchenko, D Baker, ... Nature protocols 16 (12), 5634-5651, 2021 | 474 | 2021 |
| PotentialNet for Molecular Property Prediction EN Feinberg, D Sur, Z Wu, BE Husic, H Mai, Y Li, S Sun, J Yang, ... ACS Central Science 4 (11), 1520-1530, 2018 | 384 | 2018 |
| COACH-D: improved protein–ligand binding sites prediction with refined ligand-binding poses through molecular docking Q Wu, Z Peng, Y Zhang, J Yang Nucleic acids research 46 (W1), W438-W442, 2018 | 227 | 2018 |
| A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure prediction R Yan, D Xu, J Yang, S Walker, Y Zhang Scientific reports 3, 2619, 2013 | 227 | 2013 |
| GPCR-I-TASSER: A Hybrid Approach to G Protein-Coupled Receptor Structure Modeling and the Application to the Human Genome J Zhang, J Yang, R Jang, Y Zhang Structure 23 (8), 1538-1549, 2015 | 189 | 2015 |
| Advances in GPCR Modeling Evaluated by the GPCR Dock 2013 Assessment: Meeting New Challenges I Kufareva, V Katritch, RC Stevens, R Abagyan Structure 22 (8), 1120-1139, 2014 | 188 | 2014 |
| ResQ: An approach to unified estimation of B-factor and residue-specific error in protein structure prediction J Yang, Y Wang, Y Zhang Journal of molecular biology 428 (4), 693-701, 2016 | 151 | 2016 |
| Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation JY Yang, ZL Peng, ZG Yu, RJ Zhang, V Anh, D Wang Journal of theoretical biology 257 (4), 618-626, 2009 | 140 | 2009 |
| Recognizing metal and acid radical ion-binding sites by integrating ab initio modeling with template-based transferals X Hu, Q Dong, J Yang, Y Zhang Bioinformatics 32 (21), 3260-3269, 2016 | 139 | 2016 |
| GLASS: a comprehensive database for experimentally validated GPCR-ligand associations WKB Chan, H Zhang, J Yang, JR Brender, J Hur, A Özgür, Y Zhang Bioinformatics 31 (18), 3035-3042, 2015 | 133 | 2015 |
| mTM-align: an algorithm for fast and accurate multiple protein structure alignment R Dong, Z Peng, Y Zhang, J Yang Bioinformatics 34 (10), 1719-1725, 2018 | 112 | 2018 |
| Prediction of protein structural classes for low-homology sequences based on predicted secondary structure JY Yang, ZL Peng, X Chen BMC bioinformatics 11 (Suppl 1), S9, 2010 | 108 | 2010 |
| Single-sequence protein structure prediction using supervised transformer protein language models W Wang, Z Peng, J Yang Nature Computational Science 2 (12), 804-814, 2022 | 102 | 2022 |
Yang ZhangNational University of SingaporeVerified email at nus.edu.sg
