peptides
DeepLC: Retention time prediction for peptides carrying any modification.
Genome-level presence inference from metaproteomic peptide lists, identifying statistically supported microbial genomes from unique and shared peptide evidence.
A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.
Python package for site-directed spin labeling of proteins
Collisional cross-section prediction for modified and multiconformational peptides
Python framework for Deep Learning in Proteomics
release version
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 library to calculate peptide features.
Prediction therapeutic peptides and proteins using machine learning techniques
A Python package for computing a wide range of peptide features.
