Sheng Wang

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Jinbo XuProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Jianzhu MaPeking UniversityVerified email at pku.edu.cn
Jian PengUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Xin GaoProfessor, Computer Sciences; Associate Director, Computational Bioscience Research CenterVerified email at kaust.edu.sa
Zhen LiChinese University of Hong Kong, Shenzhen (CUHKSZ)Verified email at cuhk.edu.cn
Yu LiAssistant Professor, Computer Science & Engineering, Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Zhiyong WangToyota Technological Institute at ChicagoVerified email at ttic.edu
Siqi SunAssociate Professor; Fudan University, Shanghai AI LabVerified email at pjlab.org.cn
Morten KallbergIllumina incVerified email at illumina.com
Bingqing XiePost doctoral scholar, University of ChicagoVerified email at medicine.bsd.uchicago.edu
Natalia MaltsevResearch Professor, Department of Human Genetics, The University of ChicagoVerified email at uchicago.edu
Renyu ZhangThe University of ChicagoVerified email at uchicago.edu
Shuguang CuiDistinguished Presidential Chair Professor, School of Science and Engineering, CUHKSZVerified email at cuhk.edu.cn
Renmin Han (韩仁敏)Research Center for Mathematics and Interdisciplinary Sciences, Shandong UniversityVerified email at sdu.edu.cn
Chongwei BiKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Xu Yan (颜旭)Ph.D in Chinese University of Hongkong, ShenzhenVerified email at link.cuhk.edu.cn
Mo LiKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Dinanath SulakheUniversity of Chicago, Argonne National LaboratoryVerified email at uchicago.edu
T. Conrad GilliamProfessor of Human Genetics University of ChicagoVerified email at bsd.uchicago.edu
Yizhou YuThe University of Hong Kong, IEEE FellowVerified email at acm.org

Sheng Wang

Zelixir Biotech

Verified email at zelixir.com

Computational Biology Protein Structure Prediction Nanopore Sequencing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Template-based protein structure modeling using the RaptorX web server M Källberg, H Wang, S Wang, J Peng, Z Wang, H Lu, J Xu Nature protocols 7 (8), 1511-1522, 2012	1547	2012
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model S Wang, S Sun, Z Li, R Zhang, J Xu PLOS Computational Biology 13 (1), e1005324, 2017	689	2017
Protein secondary structure prediction using deep convolutional neural fields S Wang, J Peng, J Ma, J Xu Scientific reports 6, 18962, 2016	491	2016
RaptorX-Property: a web server for protein structure property prediction S Wang, W Li, S Liu, J Xu Nucleic acids research 44 (W1), W430-W435, 2016	364	2016
RaptorX server: a resource for template-based protein structure modeling M Källberg, G Margaryan, S Wang, J Ma, J Xu Protein Structure Prediction, 17-27, 2014	230	2014
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling X Yan, C Zheng, Z Li, S Wang, S Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	170	2020
DEEPre: sequence-based enzyme EC number prediction by deep learning Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao Bioinformatics, btx680, 2017	166	2017
Protein structure alignment beyond spatial proximity S Wang, J Ma, J Peng, J Xu Scientific reports 3, 1448, 2013	159	2013
Protein threading using context-specific alignment potential J Ma, S Wang, F Zhao, J Xu Bioinformatics 29 (13), i257-i265, 2013	158	2013
Chiron: Translating nanopore raw signal directly into nucleotide sequence using deep learning H Teng, MD Cao, MB Hall, T Duarte, S Wang, LJM Coin GigaScience 7 (5), giy037, 2018	112	2018
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning J Ma, S Wang, Z Wang, J Xu Bioinformatics, btv472, 2015	102	2015
A conditional neural fields model for protein threading J Ma, J Peng, S Wang, J Xu Bioinformatics 28 (12), i59-i66, 2012	90	2012
Analysis of distance‐based protein structure prediction by deep learning in CASP13 J Xu, S Wang Proteins: Structure, Function, and Bioinformatics 87 (12), 1069-1081, 2019	89	2019
Analysis of deep learning methods for blind protein contact prediction in CASP12 S Wang, S Sun, J Xu Proteins: Structure, Function, and Bioinformatics 86 (S1), 67-77, 2018	82	2018
ComplexContact: a web server for inter-protein contact prediction using deep learning H Zeng, S Wang, T Zhou, F Zhao, X Li, Q Wu, J Xu Nucleic acids research 46 (W1), W432-W437, 2018	80	2018
AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields S Wang, J Ma, J Xu Bioinformatics 32 (17), i672-i679, 2016	78	2016
MRFalign: protein homology detection through alignment of Markov random fields J Ma, S Wang, Z Wang, J Xu PLoS computational biology 10 (3), e1003500, 2014	70	2014
DeepSimulator: a deep simulator for Nanopore sequencing Y Li, R Han, C Bi, M Li, S Wang, X Gao Bioinformatics 34 (17), 2899-2908, 2018	69	2018
DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields S Wang, S Weng, J Ma, Q Tang International journal of molecular sciences 16 (8), 17315-17330, 2015	65	2015
Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021	64	2021

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