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The University of Minnesota Pathway Prediction System (UM-PPS) is a web tool that recognizes functional groups in organic compounds that are potential targets of microbial catabolic reactions and predicts transformations of these groups based on biotransformation rules. Multi-level predictions are made. (bio.tools entry) [116]
The Immune Epitope Database and Analysis Resource (IEDB) is a project hosted by scientists at the La Jolla Institute for Allergy and Immunology (LIAI), with support from the National Institute of Allergy and Infectious Diseases (NIAID), a part of the National Institutes of Health [permanent dead link ] (NIH), and Department of Health and Human Services (HHS).
In academia, computational immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology.The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.
Wanted immunogenicity typically relates to vaccines, where the injection of an antigen (the vaccine) provokes an immune response against the pathogen, protecting the organism from future exposure. Immunogenicity is a central aspect of vaccine development. [1] Unwanted immunogenicity is an immune response by an organism against a therapeutic ...
Predict the probability that particular portions of a protein will form amyloid. sequence length Amyloidogenic regions FoldAmyloid [17] 2010 Web Server - FoldAmyloid: Secondary structure-related. Prediction of amyloid regions using expected probability of hydrogen bonds formation and packing densitites of residues. sequence
An ensemble of 3 SVMs specialized for the prediction of short, long and generic disordered regions, which combines three complementary disorder predictors, sequence, sequence profiles, predicted secondary structure, solvent accessibility, backbone dihedral torsion angles, residue flexibility and B-factors.
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
The GOR method analyzes sequences to predict alpha helix, beta sheet, turn, or random coil secondary structure at each position based on 17-amino-acid sequence windows. The original description of the method included four scoring matrices of size 17×20, where the columns correspond to the log-odds score, which reflects the probability of finding a given amino acid at each position in the 17 ...