Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0. It has been cited 84 times.
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National Institute of General Medical Sciences
Grant: GM136422
National Institute of General Medical Sciences
Grant: S10OD026825
National Institute of Allergy and Infectious Diseases
Grant: AI134678
National Foundation for Science
Grant: IIS1901191
National Science Foundation
Grant: DBI2030790
National Natural Science Foundation of China
Grant: 62072243
National Natural Science Foundation of China
Grant: 61772273
NIGMS NIH HHS
Grant: T32 GM070449
NIGMS NIH HHS
Grant: R35 GM136422
NIAID NIH HHS
Grant: R01 AI134678
National Science Foundation
Grant: 2030790
IIBR: Informatics: RAPID: Genome-wide Structure and Function Modeling of the SARS-CoV-2 Virus
National Institutes of Health
Grant: 5R01AI134678-03
Structure-based functional annotation of microbial genomes
National Science Foundation
Grant: 1901191
III: Medium: Collaborative Research: Multi-level computational approaches to protein function prediction
National Institutes of Health
Grant: 5R35GM136422-02
Advanced approaches to protein structure prediction
National Institutes of Health
Grant: 1S10OD026825-01A1
High-Performance Computing Cluster for Biomedical Research
FWCI
0.00
Citation Percentile
0.0%
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