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  2. Computational immunology - Wikipedia

    en.wikipedia.org/wiki/Computational_immunology

    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.

  3. Immunogenicity - Wikipedia

    en.wikipedia.org/wiki/Immunogenicity

    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 ...

  4. Immune Epitope Database and Analysis Resource - Wikipedia

    en.wikipedia.org/wiki/Immune_Epitope_Database...

    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).

  5. List of protein structure prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_protein_structure...

    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.

  6. List of disorder prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_disorder...

    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.

  7. List of RNA structure prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA_structure...

    Name Description Knots [Note 1]Links References trRosettaRNA: trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that the automated predictions ...

  8. Protein aggregation predictors - Wikipedia

    en.wikipedia.org/wiki/Protein_aggregation_predictors

    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

  9. Immunomics - Wikipedia

    en.wikipedia.org/wiki/Immunomics

    Immunomics is the study of immune system regulation and response to pathogens using genome-wide approaches.With the rise of genomic and proteomic technologies, scientists have been able to visualize biological networks and infer interrelationships between genes and/or proteins; recently, these technologies have been used to help better understand how the immune system functions and how it is ...