QuoteTarget: A sequence-based transformer protein language model to identify potentially druggable protein targets.

ABSTRACT: The development of efficient computational methods for drug target protein identification can compensate for the high cost of experiments and is therefore of great significance for drug development. However, existing structure-based drug target protein-identification algorithms are limited by the insufficient number of proteins with experimentally resolved structures. Moreover, sequence-based algorithms cannot effectively extract information from protein sequences and thus display insufficient accuracy. Here, we combined the sequence-based self-supervised pretraining protein language model ESM1b with a graph convolutional neural network classifier to develop an improved, sequence-based drug target protein identification method. This complete model, named QuoteTarget, efficiently encodes pr

SUBMITTER: Chen J 

PROVIDER: S-EPMC9878469 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature