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Möglich, Andreas ; Weinfurtner, Daniel ; Gronwald, Werner ; Maurer, Thilo ; Kalbitzer, Hans-Robert

PERMOL: Restraint-based protein homology modeling using DYANA or CNS.

Möglich, Andreas , Weinfurtner, Daniel, Gronwald, Werner, Maurer, Thilo und Kalbitzer, Hans-Robert (2005) PERMOL: Restraint-based protein homology modeling using DYANA or CNS. Bioinformatics 21 (9), S. 2110-2111.

Veröffentlichungsdatum dieses Volltextes: 05 Aug 2009 13:31
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.1668


Zusammenfassung

PERMOL is a new restraint-based program for homology modeling of proteins. Restraints are generated from the information contained in structures of homologous template proteins. Employing the restraints generated by PERMOL, three-dimensional structures are obtained using MD programs such as DYANA or CNS. In contrast to other programs PERMOL is mainly based on the use of dihedral angle information ...

PERMOL is a new restraint-based program for homology modeling of proteins. Restraints are generated from the information contained in structures of homologous template proteins. Employing the restraints generated by PERMOL, three-dimensional structures are obtained using MD programs such as DYANA or CNS. In contrast to other programs PERMOL is mainly based on the use of dihedral angle information which is optimally suited to preserve the local secondary structure. The global arrangement of these elements is then facilitated by a small number of distance restraints. Using PERMOL homology, models of high quality are obtained. A key advantage of the proposed method is its flexibility, which allows the inclusion of data from other sources, such as experimental restraints and the use of modern molecular dynamics programs to calculate structures.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftBioinformatics
Verlag:OXFORD UNIV PRESS
Ort der Veröffentlichung:OXFORD
Band:21
Nummer des Zeitschriftenheftes oder des Kapitels:9
Seitenbereich:S. 2110-2111
DatumJanuar 2005
InstitutionenBiologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Dr. Hans Robert Kalbitzer
Identifikationsnummer
WertTyp
10.1093/bioinformatics/bti276DOI
Stichwörter / KeywordsCONTAINING PHOSPHOCARRIER PROTEIN; TORSION ANGLE DYNAMICS; PREDICTION; DOMAIN; SYSTEM;
Dewey-Dezimal-Klassifikation500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
Dokumenten-ID1668

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