Prediction of the atomic composition based on a single accurate mass -- R
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Updated
Jan 2, 2020 - R
Prediction of the atomic composition based on a single accurate mass -- R
Masked peptides for low-data peptide drug discovery (BiB 2023)
Protein database digested with trypsin optimized for search by mass.
Toolkit for bioinformatic calculations with peptides on Apache Spark
Warning: this tool is in early development stage, use with care.
Translate peptide sequences into genes using the nucleus genetic code and E. coli codon frequencies.
ABPEPserver is an online database and analytical platform that offers the visualization of a large-scale tumour proteomics analysis of Substitutant expression across multiple tumour types.
A user friendly system for molecular dynamics in both aqueous and membrane-like environment.
A peptide fragment ion calculator made with streamlit
R package which wraps useful c++ functions for dealing with string representations of peptides
Classical force-field for peptides containing 4-fluorinated proline residues (or any canonical peptide). Includes a proline ring pucker correction
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
Computational programs and algorithms used to convert information from biochemical experiments (DNA/RNA/Protein/DNA chip/NGS) into useful information and data.
Collisional cross-section prediction for modified peptides
Basic tool for amino acid / protein translation, yet it accepts both RNA and DNA as input and can predict their entire possible sequence. More refinement will be done soon, such as incorporating it all into classes, the reverse list prediction, stop and start codons.
Prediction therapeutic peptides and proteins using machine learning techniques
Interactive Shiny application for tidyproteomics
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