| Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction H Zhou, Y Zhou Protein science 11 (11), 2714-2726, 2002 | 1094 | 2002 |
| Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ... Scientific reports 5 (1), 11476, 2015 | 430 | 2015 |
| Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor S Xu, J Zhan, B Man, S Jiang, W Yue, S Gao, C Guo, H Liu, Z Li, J Wang, ... Nature communications 8 (1), 14902, 2017 | 412 | 2017 |
| Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and … Y Yang, E Faraggi, H Zhao, Y Zhou Bioinformatics 27 (15), 2076-2082, 2011 | 373 | 2011 |
| Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles … R Heffernan, Y Yang, K Paliwal, Y Zhou Bioinformatics 33 (18), 2842-2849, 2017 | 350 | 2017 |
| Interpreting the folding kinetics of helical proteins Y Zhou, M Karplus Nature 401 (6751), 400-403, 1999 | 331 | 1999 |
| A knowledge-based energy function for protein-ligand, protein-protein, and protein-DNA complexes C Zhang, S Liu, Q Zhu, Y Zhou Journal of medicinal chemistry 48 (7), 2325-2335, 2005 | 329 | 2005 |
| RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning J Singh, J Hanson, K Paliwal, Y Zhou Nature communications 10 (1), 5407, 2019 | 311 | 2019 |
| Protein binding site prediction using an empirical scoring function S Liang, C Zhang, S Liu, Y Zhou Nucleic acids research 34 (13), 3698-3707, 2006 | 309 | 2006 |
| SPINE X: improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles E Faraggi, T Zhang, Y Yang, L Kurgan, Y Zhou Journal of computational chemistry 33 (3), 259-267, 2012 | 296 | 2012 |
| Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks J Hanson, Y Yang, K Paliwal, Y Zhou Bioinformatics 33 (5), 685-692, 2017 | 295 | 2017 |
| Fold recognition by combining sequence profiles derived from evolution and from depth‐dependent structural alignment of fragments H Zhou, Y Zhou Proteins: Structure, Function, and Bioinformatics 58 (2), 321-328, 2005 | 278 | 2005 |
| Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Y Yang, J Gao, J Wang, R Heffernan, J Hanson, K Paliwal, Y Zhou Briefings in bioinformatics 19 (3), 482-494, 2018 | 277 | 2018 |
| Specific interactions for ab initio folding of protein terminal regions with secondary structures Y Yang, Y Zhou Proteins: Structure, Function, and Bioinformatics 72 (2), 793-803, 2008 | 276 | 2008 |
| The distance fluctuation criterion for melting: Comparison of square-well and Morse potential models for clusters and homopolymers Y Zhou, M Karplus, KD Ball, RS Berry The Journal of chemical physics 116 (5), 2323-2329, 2002 | 253 | 2002 |
| Equilibrium thermodynamics of homopolymers and clusters: molecular dynamics and Monte Carlo simulations of systems with square-well interactions Y Zhou, M Karplus, JM Wichert, CK Hall The Journal of chemical physics 107 (24), 10691-10708, 1997 | 235 | 1997 |
| Structural insights into the histone H1-nucleosome complex BR Zhou, H Feng, H Kato, L Dai, Y Yang, Y Zhou, Y Bai Proceedings of the National Academy of Sciences 110 (48), 19390-19395, 2013 | 230 | 2013 |
| Single‐body residue‐level knowledge‐based energy score combined with sequence‐profile and secondary structure information for fold recognition H Zhou, Y Zhou Proteins: Structure, Function, and Bioinformatics 55 (4), 1005-1013, 2004 | 224 | 2004 |
| A physical reference state unifies the structure‐derived potential of mean force for protein folding and binding S Liu, C Zhang, H Zhou, Y Zhou Proteins: Structure, Function, and Bioinformatics 56 (1), 93-101, 2004 | 220 | 2004 |
| Folding rate prediction using total contact distance H Zhou, Y Zhou Biophysical journal 82 (1), 458-463, 2002 | 220 | 2002 |
Yuedong YangSchool of Computer Science and Engineering, Sun Yat-sen University在 mail.sysu.edu.cn 的电子邮件经过验证
