Literature DB >> 7686807

ADEPT: a computer program for prediction of protein antigenic determinants.

A Z Maksyutov1, E S Zagrebelnaya.   

Abstract

ADEPT, a program that can be used for prediction of protein antigenic determinants from the amino acid sequence alone for the cases of humoral and cellular immune response, is described. Most methods presently utilized for this purpose are implemented in the program along with some original parameters for the case of humoral immune response. There is also a possibility to combine several methods for the case of humoral immune response, which provides a means to create new predictive methods. ADEPT also includes a literature-derived database of proteins in the SWISS-PROT standard with experimentally determined antigenic determinants, so the predictive ability of new methods can be assessed within the program and corresponding statistical information is calculated. ADEPT may be useful for solving various tasks involving the delineation of antigenic regions on proteins or characterization of peptide fragments, arising, for example, in protein engineering (e.g. selection of protein portions most suitable for insertion of peptide sequences that are antigenically active or possessing other desired characteristics), and in particular for construction of vaccines containing B- and/or T-cell epitopes, as well as for other problems of medico-biological research.

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Year:  1993        PMID: 7686807     DOI: 10.1093/bioinformatics/9.3.291

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  4 in total

1.  Prediction of residues in discontinuous B-cell epitopes using protein 3D structures.

Authors:  Pernille Haste Andersen; Morten Nielsen; Ole Lund
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

2.  Prediction of antigenically active regions in the OmpF-like porin of Yersinia pseudotuberculosis.

Authors:  D V Antonets; A Y Bakulina; O Y Portnyagina; O V Sidorova; O D Novikova; A Z Maksyutov
Journal:  Dokl Biochem Biophys       Date:  2007 May-Jun       Impact factor: 0.788

3.  Modeling the adaptive immune system: predictions and simulations.

Authors:  Claus Lundegaard; Ole Lund; Can Kesmir; Søren Brunak; Morten Nielsen
Journal:  Bioinformatics       Date:  2007-11-28       Impact factor: 6.937

4.  TCP: a tool for designing chimera proteins based on the tertiary structure information.

Authors:  Takashi Yoneya; Reina Nishida
Journal:  BMC Bioinformatics       Date:  2009-01-07       Impact factor: 3.169

  4 in total

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