| 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 | 263 | 2011 |
| 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, 11476, 2015 | 236 | 2015 |
| 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 | 212 | 2012 |
| 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 | 205 | 2008 |
| 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 | 151 | 2013 |
| Community-wide assessment of protein-interface modeling suggests improvements to design methodology SJ Fleishman, TA Whitehead, EM Strauch, JE Corn, S Qin, HX Zhou, ... Journal of Molecular Biology, 2011 | 127 | 2011 |
| Predicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure prediction E Faraggi, Y Yang, S Zhang, Y Zhou Structure 17 (11), 1515-1527, 2009 | 126 | 2009 |
| Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all‐atom statistical energy functions Y Yang, Y Zhou Protein science 17 (7), 1212-1219, 2008 | 124 | 2008 |
| 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 | 113 | 2017 |
| Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network J Lyons, A Dehzangi, R Heffernan, A Sharma, K Paliwal, A Sattar, Y Zhou, ... Journal of computational chemistry 35 (28), 2040-2046, 2014 | 111 | 2014 |
| 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 | 107 | 2017 |
| Structure-based prediction of RNA-binding domains and RNA-binding sites and application to structural genomics targets H Zhao, Y Yang, Y Zhou Nucleic acids research 39 (8), 3017-3025, 2011 | 104 | 2011 |
| 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 | 95 | 2018 |
| SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ... Prediction of Protein Secondary Structure, 55-63, 2017 | 81 | 2017 |
| Structure-based prediction of DNA-binding proteins by structural alignment and a volume-fraction corrected DFIRE-based energy function H Zhao, Y Yang, Y Zhou Bioinformatics 26 (15), 1857-1863, 2010 | 80 | 2010 |
| Energy Functions in De Novo Protein Design: Current Challenges and Future Prospects Z Li, Y Yang, J Zhan, L Dai, Y Zhou Annual Review of Biophysics 42 (1), 2013 | 73 | 2013 |
| Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins R Heffernan, A Dehzangi, J Lyons, K Paliwal, A Sharma, J Wang, A Sattar, ... Bioinformatics 32 (6), 843-849, 2016 | 66 | 2016 |
| A new size‐independent score for pairwise protein structure alignment and its application to structure classification and nucleic‐acid binding prediction Y Yang, J Zhan, H Zhao, Y Zhou Proteins: Structure, Function, and Bioinformatics 80 (8), 2080-2088, 2012 | 66 | 2012 |
| An all‐atom knowledge‐based energy function for protein‐DNA threading, docking decoy discrimination, and prediction of transcription‐factor binding profiles B Xu, Y Yang, H Liang, Y Zhou Proteins: Structure, Function, and Bioinformatics 76 (3), 718-730, 2009 | 52 | 2009 |
| Highly accurate and high-resolution function prediction of RNA binding proteins by fold recognition and binding affinity prediction. H Zhao, Y Yang, Y Zhou RNA biology 8 (6), 2011 | 51 | 2011 |
Yaoqi ZhouProfessor, Institute for Glycomics and School of Information and Communication Technology, GriffithVerified email at griffith.edu.au
