peptides
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
Genome-level presence inference from metaproteomic peptide lists.
Python package for site-directed spin labeling of proteins
A package for identifying the translated ORFs using ribosome-profiling data
Collisional cross-section prediction for modified and multiconformational peptides
Python framework for Deep Learning in Proteomics
A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.
Metrics for evaluating biological sequence design
A tool to predict anti-cancerous peptides
A library for peptide fragment ion generation
A library to calculate peptide features.
Prediction therapeutic peptides and proteins using machine learning techniques
