Finding semirigid domains in biomolecules by clustering pair-distance variations

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Kenn, Michael ^a   Ribarics, Reiner ^a   Ilieva, Nevena ^b   Schreiner, Wolfgang ^a  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b INSTITUTE FOR NUCLEAR RESEARCH AND NUCLEAR ENERGY   (Bulgaria)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ATOM; CLUSTER ANALYSIS; EVOLUTION; INFORMATION SCIENCE; MATHEMATICS; MOLECULAR DYNAMICS; MOTION; SIGNAL TRANSDUCTION; SIMULATION; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGY; DNA MICROARRAY; FUZZY LOGIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; IMMUNOLOGY; THEORETICAL MODEL;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; FUZZY LOGIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; MODELS, THEORETICAL; MOLECULAR DYNAMICS SIMULATION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SIGNAL TRANSDUCTION;

EID: 84901794699     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/731325     Document Type: Article

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