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
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.
AI for Practical Longevity (AI4L) - Enabling anyone to use AI to generate high-quality, evidence-based reviews of health & longevity interventions
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
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Proteomics Mass Spectrometry Datasets for Machine Learning
A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.
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