Yuedong Yang

Citado por

	Total	Desde 2015
Citas	4162	3418
Índice h	31	30
Índice i10	66	63

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Coautores

Yaoqi ZhouProfessor, Institute for Glycomics and School of Information and Communication Technology, GriffithDirección de correo verificada de griffith.edu.au
Huiying ZhaoSun Yat-sen Memorial Hospital, Sun Yat-sen UniversityDirección de correo verificada de mail.sysu.edu.cn
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneDirección de correo verificada de griffith.edu.au
Abdollah 'Iman' DehzangiAssistant Professor at the Department of Computer Science, Rutgers UniversityDirección de correo verificada de rutgers.edu
Abdul SattarProfessor of Computer Science, Griffith UniversityDirección de correo verificada de griffith.edu.au
Shuangjia ZhengSun Yat-Sen UniversityDirección de correo verificada de mail2.sysu.edu.cn
Thomas LitfinPhD Candidate, Griffith UniversityDirección de correo verificada de griffithuni.edu.au
Gazelle TaherzadehUniversity of MarylandDirección de correo verificada de griffithuni.edu.au
David N. CooperProfessor of Human Molecular Genetics, Cardiff University, UKDirección de correo verificada de cardiff.ac.uk
Yunlong LiuProfessor, Indiana University School of MedicineDirección de correo verificada de iu.edu
Liang DaiCity University of Hong Kong; National University of Singapore ; Indiana University; MIT;Dirección de correo verificada de cityu.edu.hk
Alan Wee-Chung LiewAssociate Professor, School of ICT, Griffith UniversityDirección de correo verificada de griffith.edu.au
Jianzhao GaoSchool of Mathematical Sciences , Nankai UniversityDirección de correo verificada de nankai.edu.cn
Jianwen ChenMaster Student of Data Science, Sun Yat-Sen UniversityDirección de correo verificada de mail2.sysu.edu.cn
Jiahua RaoSun Yat-sen UniversityDirección de correo verificada de mail2.sysu.edu.cn
Ying SongSun Yat-sen UniversityDirección de correo verificada de mail2.sysu.edu.cn
Lukasz KurganComputer Science, Virginia Commonwealth UniversityDirección de correo verificada de vcu.edu
Tuo ZhangSenior Research Associate, Weill Cornell Medical CollegeDirección de correo verificada de med.cornell.edu
Yawen BaiSenior Investigator at National Cancer Institute, NIHDirección de correo verificada de mail.nih.gov
yunfei duProfessor of computer science, Sun Yat-Sen UniversityDirección de correo verificada de mail.sysu.edu.cn

Yuedong Yang

School of Data and Computer Science, Sun Yat-sen University

Dirección de correo verificada de mail.sysu.edu.cn - Página principal

Protein Structure prediction Structural Bioinformatics Bioinformatics Computational biology


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	283	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	267	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	229	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	225	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	172	2013
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	147	2017
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	139	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, 2011	133	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	133	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	131	2009
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	122	2018
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	122	2014
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	111	2011
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images Y Song, S Zheng, L Li, X Zhang, X Zhang, Z Huang, J Chen, H Zhao, Y Jie, ... medRxiv, 2020	106	2020
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	99	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	85	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	77	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	75	2016
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	67	2017
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	66	2018

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