| Deep learning enables accurate diagnosis of novel coronavirus (COVID-19) with CT images Y Song, S Zheng, L Li, X Zhang, X Zhang, ..., Y Yang IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2021 | 759 | 2021 |
| 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, ..., Y Yang*, Y Zhou* Scientific reports 5, 11476, 2015 | 378 | 2015 |
| 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 | 346 | 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 | 296 | 2017 |
| 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 | 275 | 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 | 259 | 2008 |
| 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 | 245 | 2017 |
| 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 | 226 | 2018 |
| 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 | 213 | 2013 |
| 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, ..., Y Zhou*, Y Yang* Journal of computational chemistry 35 (28), 2040-2046, 2014 | 171 | 2014 |
| Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks J Hanson, K Paliwal, T Litfin, Y Yang, Y Zhou Bioinformatics 34 (23), 4039-4045, 2018 | 161 | 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 | 155 | 2017 |
| JAK2-binding long noncoding RNA promotes breast cancer brain metastasis S Wang, K Liang, Q Hu, P Li, J Song, Y Yang, J Yao, LS Mangala, C Li, ... The Journal of clinical investigation 127 (12), 4498-4515, 2017 | 154 | 2017 |
| 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 414 (2), 289-302, 2011 | 152 | 2011 |
| 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 | 149 | 2008 |
| 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 | 147 | 2009 |
| Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and … J Hanson, K Paliwal, T Litfin, Y Yang, Y Zhou Bioinformatics 35 (14), 2403-2410, 2019 | 146 | 2019 |
| Predicting retrosynthetic reactions using self-corrected transformer neural networks S Zheng, J Rao, Z Zhang, J Xu, Y Yang Journal of Chemical Information and Modeling 60 (1), 47-55, 2020 | 127 | 2020 |
| 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 | 123 | 2011 |
| Predicting drug–protein interaction using quasi-visual question answering system S Zheng, Y Li, S Chen, J Xu, Y Yang Nature Machine Intelligence 2 (2), 134-140, 2020 | 117 | 2020 |
Yaoqi ZhouSenior Principal Investigator, Institute for Systems & Physical Biology, Shenzhen Bay LaboratoryVerified email at szbl.ac.cn
