Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.

DeepLC: Retention time prediction for (modified) peptides using Deep Learning.

🧬 Toolkit for generating various numerical features of protein sequences

Collects software dedicated to predicting specific properties of peptides

release version

Deep (Transfer) Learning for Peptide Retention Time Prediction

The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.

Identify and quantify MHC eluted peptides from mass spectrometry raw data

This work was published on Analytical Chemistry: Full-Spectrum Prediction of Peptides Tandem Mass Spectra using Deep Neural Network

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Identifying peptide-receptor interactions using AlphaFold-Multimer

Python framework for Deep Learning in Proteomics

PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data

R package to BLAST peptide sequences against each other and identify the minimal overlap of aligning regions.

Cleavage of polypeptide sequences

PARCE version 1.0

Proteomics Mass Spectrometry Datasets for Machine Learning

Python package for site-directed spin labeling of proteins