🧬 Fine-Tuning Large Language and Protein Models on a single T4 GPU via Distillation, Quantization and Low-Rank Adaptation to run inference on proteins functions.

Fine-tuning a pre-trained BERT Model (ProtBert) in PyTorch using DeepLoc Dataset

A pipeline for the analysis of Bert self-attention mechanism applied to proteins.

Fusion model of ProtBERT and ESM-2 for cell-penetrating peptide prediction (Reproduction of FusPB-ESM2, Comp. Biol. Chem., 2024)

"Repository for the 'Artificial Intelligence for Biology' course project. Implements PPI prediction using GCN and Protein Language Models."

A fine-tuned ProtBert model designed for the prediction of anti-diabetic peptides from primary amino acid sequences.