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Protein Interface Prediction

How and where proteins interface with one another can ultimately impact the proteins' functions along with a range of other biological processes. As such, precise computational methods for protein interface prediction (PIP) come highly sought after as they could yield significant advances in drug discovery and design as well as protein function analysis.

Papers

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Showing 1–7 of 7 papers

TitleStatusHype
Integration of Pre-trained Protein Language Models into Geometric Deep Learning NetworksCode1
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface PredictionCode1
Deep Learning of High-Order Interactions for Protein Interface Prediction—0
A Multiscale Graph Convolutional Network Using Hierarchical Clustering—0
Transferrable End-to-End Learning for Protein Interface Prediction—0
End-to-End Learning on 3D Protein Structure for Interface PredictionCode0
Protein Interface Prediction using Graph Convolutional NetworksCode0
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