ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
-
Updated
Nov 11, 2024 - Python
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
Scripts and data regarding Vampyrellida genomics.
Python framework for interpretable protein prediction
Prediction of Binding Residues in Disordered Regions Based on Protein Embeddings; TUM Master Praktikum Bioinformatics 2022 (Project #3) and Master's Thesis
Transmembrane proteins predicted through Language Model embeddings
Protein Secondary Structure predictor using Convolutional Neural Networks
Get protein embeddings from protein sequences
HNOXPred: a web tool for the prediction of gas sensing H-NOX proteins from amino acid sequence
Predicting phosphorylation sites from sequence and structure via a GNN
Utilizes Markov Models to predict protein coding genes
cTPnet Package
Transmembrane proteins predicted through Language Model embeddings
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
Repository for the software engineering project during the second year of the Master of Bioinformatics at the University of Bordeaux.
Add a description, image, and links to the protein-prediction topic page so that developers can more easily learn about it.
To associate your repository with the protein-prediction topic, visit your repo's landing page and select "manage topics."