Functional Annotation Method Using Supervised contrastive learning

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Predicting gene function is a pivotal and challenging step in genomic and metagenomic data analysis. Current automatic annotation tools typically rely on the single most similar sequence from the quer...

AbstractMotivation. Protein language models (pLMs) typically tokenize sequences at the single-amino-acid level using a 20-residue alphabet, resulting in lo

B-PPI-DB is a benchmarking dataset designed for the training and evaluation of bacterial protein-protein interaction (PPI) prediction models. The dataset is derived from the STRING database (version 1...

Natural Language Processing (NLP) has transformed various fields beyond linguistics by applying techniques originally developed for human language to the analysis of biological sequences. This review ...