Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
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Updated
Jan 16, 2024 - Python
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.
🧬 Toolkit for generating various numerical features of protein sequences
DeepLC: Retention time prediction for (modified) peptides using Deep Learning.
Deep (Transfer) Learning for Peptide Retention Time Prediction
Collects software dedicated to predicting specific properties of peptides
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.
Identify and quantify MHC eluted peptides from mass spectrometry raw data
This work was published on Analytical Chemistry: Full-Spectrum Prediction of Peptides Tandem Mass Spectra using Deep Neural Network
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Python framework for Deep Learning in Proteomics
PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data
Identifying peptide-receptor interactions using AlphaFold-Multimer
R package to BLAST peptide sequences against each other and identify the minimal overlap of aligning regions.
PARCE version 1.0
A tool for mass spectrometry data analysis.
AntiCP2 is an updated version of AntiCP developed for predicting, designing and scanning anticancer peptides.
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