peptides
Parse ProForma 2.1 peptide sequences and calculate masses, fragments, and isotopic distributions in Python.
DeepLC: Retention time prediction for peptides carrying any modification.
Parse and serialize HUPO-PSI mzPAF fragment-ion annotations for mass-spectrometry proteomics in Python.
Python framework for Deep Learning in Proteomics
Collisional cross-section prediction for modified and multiconformational peptides
release version
Genome-level presence inference from metaproteomic peptide lists, identifying statistically supported microbial genomes from unique and shared peptide evidence.
Metrics for evaluating biological sequence design
Python package for site-directed spin labeling of proteins
AntiCP2 is an updated version of AntiCP developed for predicting, designing and scanning anticancer peptides.
A Python package for computing a wide range of peptide features.
A library for fast peptide fragment ion generation
Prediction therapeutic peptides and proteins using machine learning techniques