Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.
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Updated
Mar 11, 2017 - Python
Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.
Second program for a class in molecular modelling (done in june 2016). It carries out a Monte Carlo simulation with simulated annealing for HP protein model.
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.
Fast proteasomal cleavage detection. Apache-licensed.
Repository for Inbix-2017 - [Ideation coding challenge]
Toolkit for bioinformatic calculations with peptides on Apache Spark
PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data
Analyze possible peptide fragments with peptide serum stability studies.
Dataset of 86.000 peptides and their binding degree, that can be used to predict, whether a peptide is binded or not.
A set of different models, that predict the degree of binding of peptide proteins.
Reproduce bioinformatics analysis for the paper Meyer, K. et al., Cell, 2018.
Map the peptides to its corresponding protein sequence and locate the modification sites
Converter from DTASelect to pepXML formats
BIO-IT -- Biochemical Insights Of Important Topics
Prediction of the atomic composition based on a single accurate mass -- Python
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