DeepLC: Retention time prediction for peptides carrying any modification.
Collisional cross-section prediction for modified and multiconformational peptides
Python package for site-directed spin labeling of proteins
release version
A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.
Deep Learning for Proteomics
Metrics for evaluating biological sequence design
AntiCP2 is an updated version of AntiCP developed for predicting, designing and scanning anticancer peptides.
A library for fast peptide fragment ion generation
A Python package for computing a wide range of peptide features.
Prediction therapeutic peptides and proteins using machine learning techniques
