AgMata: Beta-Aggregation regions
Our new b2bTools interface gives integrated access to individual predictors.
It includes a novel feature to explore prediction-based 'biophysical variation' of proteins from a multiple sequence alignment.
Single Sequence Predictors
DynaMine
Predicts protein backbone dynamics and flexibility
DisoMine
Identifies intrinsically disordered regions in proteins
EarlyFolding
Predicts early folding residues in protein sequences
AgMata
Identifies aggregation-prone regions in proteins
PSP
Predicts protein structure and secondary structure elements
MSA Predictors
Multiple Sequence Alignment based predictors that analyze evolutionary information to predict protein properties.
Single Sequence Predictors
Including DynaMine, DisoMine, EFoldMine and AgMata
Gaussian Mixture Model Analysis
Score analysis of residues based on GMM scores
Distribution Analysis
Contextualizing residues based on their distribution in the MSA (bottom quartile, middle quartile, top quartile)
Chemical Shift Predictors
ShiftCrypt
Predicts chemical shifts from input files in the NMR Exchange Format (NEF) or NMR-STAR format
Submit Your Sequence
Your prediction submission is related to a token saved in your browser session. You can manage your token from the navigation bar.
Our Ecosystem
Bio2Byte Tools are part of a larger ecosystem of bioinformatics tools and resources:
Further Information
Find more information about our tools and resources here: