Python Code for Peptide Sequencing of plasma after Chlorine Exposure
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Updated
Feb 10, 2022 - Jupyter Notebook
Python Code for Peptide Sequencing of plasma after Chlorine Exposure
Locates genomic and peptide sequences for biological analysis.
Visualize alpha-helical peptide sequences in Python using helical wheels and wenxiang diagrams
Script developed to transform the amino acid smiles to one letter code for later analysis
Protein Cleaver is a versatile tool for protein analysis and digestion.
Given files with sequences containing signal peptides and sequences not containing signal peptides, multiple classifiers were tested to see which performs best in the classification of signal peptide sequences.
This is an early stage calculator that uses Python to automate the time-consuming calculation components necessary for solid phase peptide synthesis (SPPS). At its current version (v1), the calculator allows calculation of the molecular weight of a desired peptide sequence, the mass of solid support resin needed for SPPS and the percentage yield
Visualize alpha-helical peptide sequences in R using helical wheels and wenxiang diagrams. See https://doi.org/10.21105/joss.01008 for more details.
Using Python to locate a peptide sequence to a reference protein and PTM site
Modifications part of the Peptide modifications cycle
A peptide fragment ion calculator made with streamlit
Predict and match digested peptides sequences, their mass m/z and MS/MS spectra with chemical derivatization or post-translational modification.
This programs calculates the approximate energy (ATP) required to form a peptide chain
R-script to extract 56 features from a given peptide sequence and handle exceptions in the input file
A spectacularly simple package for working with peptide sequences.
Pmlbeta: a PyMOL extension for building β-amino acid insertions and β-peptide sequences. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711020303678
A de novo peptide sequencing transformer
Proteomics Mass Spectrometry Datasets for Machine Learning
Python framework for Deep Learning in Proteomics
Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
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