S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 16 times.
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National Science Foundation
Grant: 2138286
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National Institutes of Health
Grant: 5UL1TR001998-02
Kentucky Center for Clinical and Translational Science
National Science Foundation
Grant: 2138259
Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS)
National Science Foundation
Grant: 2138307
Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT)
National Science Foundation
Grant: 2154996
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National Science Foundation
Grant: 2137603
Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services
National Institutes of Health
Grant: 5R35GM126985-04
Interpretable and extendable deep learning model for biological sequence analysis and prediction
National Science Foundation
Grant: 2138296
ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI)
National Institutes of Health
Grant: 3P30CA177558-01S1
CTRP Supplement
National Institutes of Health
Grant: 1R01LM014510-01
Structure-Function-Aware Large Protein Language Models for Enhanced Biomedical Applications
NCI NIH HHS
Grant: P30 CA177558
NIGMS NIH HHS
Grant: R35 GM126985
NCATS NIH HHS
Grant: UL1 TR001998
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