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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 and Kalbitzer, Hans-Robert (2005) PERMOL: Restraint-based protein homology modeling using DYANA or CNS. Bioinformatics 21 (9), pp. 2110-2111.

Date of publication of this fulltext: 05 Aug 2009 13:31
Article
DOI to cite this document: 10.5283/epub.1668


Abstract

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.



Involved Institutions


Details

Item typeArticle
Journal or Publication TitleBioinformatics
Publisher:OXFORD UNIV PRESS
Place of Publication:OXFORD
Volume:21
Number of Issue or Book Chapter:9
Page Range:pp. 2110-2111
DateJanuary 2005
InstitutionsBiology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Dr. Hans Robert Kalbitzer
Identification Number
ValueType
10.1093/bioinformatics/bti276DOI
KeywordsCONTAINING PHOSPHOCARRIER PROTEIN; TORSION ANGLE DYNAMICS; PREDICTION; DOMAIN; SYSTEM;
Dewey Decimal Classification500 Science > 570 Life sciences
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
Item ID1668

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