Get protein embeddings from protein sequences

Protein Secondary Structure predictor using Convolutional Neural Networks

Python framework for interpretable protein prediction

Transmembrane proteins predicted through Language Model embeddings

cTPnet Package

Prediction of Binding Residues in Disordered Regions Based on Protein Embeddings; TUM Master Praktikum Bioinformatics 2022 (Project #3) and Master's Thesis

A Transformer-Based Predictor for Nonribosomal Peptide Synthetases (NRPS) Specificity. Published in JACS (DOI: 10.1021/jacs.5c08076).

Code and results for the practical exercises of the course "Protein Prediction 2" in Winter 21/22 at TUM Authors: Adrian Henkel, Finn Gaida, Lis Arend, Sebastian Dötsch, Shlomo Libo Feigin

Repository containing bio_embeddings resources

Transmembrane proteins predicted through Language Model embeddings

Utilizes Markov Models to predict protein coding genes

This repository implements an SVM-based predictor for signal peptides. It includes a comparison with a weight matrix method, showing enhanced accuracy in identifying signal peptides in eukaryotic sequences.

Predicting phosphorylation sites from sequence and structure via a GNN

Deep learning system for protein-protein interaction prediction with retrieval-augmented evidence validation

Repository for the software engineering project during the second year of the Master of Bioinformatics at the University of Bordeaux.

HNOXPred: a web tool for the prediction of gas sensing H-NOX proteins from amino acid sequence

Protein structure prediction model trained on 46 PDB sequences. Implements CNN + BiLSTM architecture (91.57% validation accuracy) and Random Forest baseline (49.35%). Features include one-hot encoding preprocessing, confusion matrix analysis, training visualization, and an interactive demo predictor.