/tools/transformerCPI
transformerCPI
lifanchen-simm/transformerCPI
152 stars38 forksPythonAdded February 4, 2026
summary
TransformerCPI is a tool designed to improve the prediction of compound-protein interactions through a sequence-based deep learning approach utilizing self-attention mechanisms. It includes datasets and trained models to facilitate drug-target identification and virtual screening.
description
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
topics
self-attentioncompound-protein-interactiontransformercpistructure-free-virtual-sreeningdrug-target-identificationdrug-discovery
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