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Titolo:
CONRAD - A METHOD FOR IDENTIFICATION OF VARIABLE AND CONSERVED REGIONS WITHIN PROTEINS BY SCALE-SPACE FILTERING
Autore:
HERRMANN G; SCHON A; BRACKWERNER R; WERNER T;
Indirizzi:
GSF FORSCHUNGSZENTRUM UNWELT & GESUNDHEIT GMBH,INST SAUGETIERGENET,INGOLSTADTER LANDSTR 1 D-85758 OBERSCHLEISSHEIM GERMANY GSF FORSCHUNGSZENTRUM UNWELT & GESUNDHEIT GMBH,INST SAUGETIERGENET D-85758 OBERSCHLEISSHEIM GERMANY GSF FORSCHUNGSZENTRUM UNWELT & GESUNDHEIT GMBH,INST MED INFORMAT & SYST FORSCH D-85758 OBERSCHLEISSHEIM GERMANY GSF FORSCHUNGSZENTRUM UNWELT & GESUNDHEIT GMBH,INST MOL VIROL D-85758OBERSCHLEISSHEIM GERMANY
Titolo Testata:
Computer applications in the biosciences
fascicolo: 3, volume: 12, anno: 1996,
pagine: 197 - 203
SICI:
0266-7061(1996)12:3<197:C-AMFI>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
GLYCOPROTEIN GP120; SEQUENCES;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
19
Recensione:
Indirizzi per estratti:
Citazione:
G. Herrmann et al., "CONRAD - A METHOD FOR IDENTIFICATION OF VARIABLE AND CONSERVED REGIONS WITHIN PROTEINS BY SCALE-SPACE FILTERING", Computer applications in the biosciences, 12(3), 1996, pp. 197-203

Abstract

Advanced sequencing techniques allow rapid deduction of individual amino acid sequences of highly related proteins. Due to their quasi-species nature, viral genomes (e.g. HIV-I) represent one of the most common sources of related proteins. Another example of related proteins areimmunoglobulins. Local differences in amino acid conservation are useful indicators of potential domain structures and immunological or functional epitopes prior to structural analysis of proteins. Although variability indices can be calculated by several methods, delineation ofboundaries between sequence str etches with similar variability indices is left to the user. We use algorithmic scale-space filtering for delineation of conserved and variable sequence stretches within a protein which is performed on an algorithmic basis avoiding arbitrary assignments. Our method correctly identified variable regions for the humanimmunoglobulin X-chain V-regions (subgroup I). Prediction of the variable regions of the HIV-1 gp120 env protein was in agreement with empirical derived definitions. These examples indicate that our method is useful for the regional assignment of protein variability solely on the basis of amino acid sequences.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 12/07/20 alle ore 06:40:49