Web-based molecule sketcher

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

Learning Universal Representations of Intermolecular Interactions with ATOMICA

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

DeepLC: Retention time prediction for peptides carrying any modification.

Collects software dedicated to predicting specific properties of peptides

release version

Deep (Transfer) Learning for Peptide Retention Time Prediction

🧬 Toolkit for generating various numerical features of protein sequences

Identify and quantify MHC eluted peptides from mass spectrometry raw data

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.

Python framework for Deep Learning in Proteomics

The official codebase of peptidy, a peptide processing tool for machine learning.

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

Identifying peptide-receptor interactions using AlphaFold-Multimer

AI for Practical Longevity (AI4L) - Enabling anyone to use AI to generate high-quality, evidence-based reviews of health & longevity interventions

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

Proteomics Mass Spectrometry Datasets for Machine Learning

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