protein-classification

Protein sequence classification with self-supervised pretraining

Exploring Evolution-aware & free protein language models as protein function predictors

Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

A multi-stage graph neural network classification pipeline for protein meshes.

Antimicrobial Peptide Scanner Version 2. Open source GLPv3 release of code from 2018 paper "Deep learning improves antimicrobial peptide recognition" published in the journal Bioinformatics: https://doi.org/10.1093/bioinformatics/bty179

Graph Transformer for Protein Structure classification

A reproducible protein-language-model pipeline for detecting double-jelly-roll major capsid proteins from FASTA files.

Personal project dealing on Transformer and Protein family classification

GNNs for protein graph classification on OGBG-PPA with GCN, GIN and baseline models.

TooT-PLM-ionCT: A bioinformatics framework utilizing protein language models for accurate classification of ion channels and ion transporters from membrane proteins.