Articles with public access mandates - Sheng WangLearn more
Available somewhere: 58
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
Mandates: US National Institutes of Health
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
Mandates: US National Science Foundation, US National Institutes of Health
Protein secondary structure prediction using deep convolutional neural fields
S Wang, J Peng, J Ma, J Xu
Scientific reports 6, 18962, 2016
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: National Natural Science Foundation of China
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: National Natural Science Foundation of China
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
Mandates: US National Science Foundation, US National Institutes of Health, Australian …
Protein structure alignment beyond spatial proximity
S Wang, J Ma, J Peng, J Xu
Scientific reports 3, 1448, 2013
Mandates: US National Institutes of Health
Protein threading using context-specific alignment potential
J Ma, S Wang, F Zhao, J Xu
Bioinformatics 29 (13), i257-i265, 2013
Mandates: US National Institutes of Health
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
Mandates: National Health and Medical Research Council, Australia
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
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation, US National Institutes of Health
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning
J Ma, S Wang, Z Wang, J Xu
Bioinformatics, btv472, 2015
Mandates: US National Institutes of Health
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
Mandates: US National Science Foundation, US National Institutes of Health
Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring
Z Yuan, X Yan, Y Liao, R Zhang, S Wang, Z Li, S Cui
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandates: National Natural Science Foundation of China
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
Mandates: US National Science Foundation, US National Institutes of Health
Shallow feature matters for weakly supervised object localization
J Wei, Q Wang, Z Li, S Wang, SK Zhou, S Cui
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Mandates: National Natural Science Foundation of China
A conditional neural fields model for protein threading
J Ma, J Peng, S Wang, J Xu
Bioinformatics 28 (12), i59-i66, 2012
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
Publication and funding information is determined automatically by a computer program