Automated protein complex modelling: Computational assembly of macromolecules using heterogeneous structural templates - Couverture souple

Davis, Chad A.

 
9783838123769: Automated protein complex modelling: Computational assembly of macromolecules using heterogeneous structural templates
Couverture souple
ISBN 10 : 383812376X ISBN 13 : 9783838123769
Editeur : Suedwestdeutscher Verlag fuer Hochschulschriften, 2011

Synopsis

Protein interaction networks provide an increasingly complex picture of the relationships between macromolecules in the cell. Complementing these interactions with structural data provides critical insights into interaction mechanisms. However, structural information is available only for a tiny fraction of protein interactions and complexes currently known. A method is developed here to predict macromolecular complex structures by systematic combination of pairwise interactions of known structure. An efficient algorithm was designed that exploits heuristics to reduce the large search space. This is complemented with an automated scoring system to filter out the exponentially large number of unrealistic complexes, leaving a ranked set of the most plausible models. On a benchmark set of complexes of known structure, many complexes can be re-created with high accuracy and certain models are much larger and more complete than what is possible with traditional modelling techniques. As the rate of structurally resolved interactions grows, the ability to model larger and more diverse complexes will grow exponentially.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Protein interaction networks provide an increasingly complex picture of the relationships between macromolecules in the cell. Complementing these interactions with structural data provides critical insights into interaction mechanisms. However, structural information is available only for a tiny fraction of protein interactions and complexes currently known. A method is developed here to predict macromolecular complex structures by systematic combination of pairwise interactions of known structure. An efficient algorithm was designed that exploits heuristics to reduce the large search space. This is complemented with an automated scoring system to filter out the exponentially large number of unrealistic complexes, leaving a ranked set of the most plausible models. On a benchmark set of complexes of known structure, many complexes can be re-created with high accuracy and certain models are much larger and more complete than what is possible with traditional modelling techniques. As the rate of structurally resolved interactions grows, the ability to model larger and more diverse complexes will grow exponentially.

Biographie de l'auteur

Chad A. Davis, Ph.D., received a B.S.E. in Computer Science and Engineering from Northern Arizona University, an M.Sc. in Bioinformatics from the joint program at the Ludwig-Maximilian University of Munich and the Technical University of Munich. His doctoral work was carried out at the European Molecular Biology Laboratory in Heidelberg.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Suedwestdeutscher Verlag fuer Hochschulschriften
Date d'édition
2011
Langue
anglais
ISBN 10 
383812376X
ISBN 13 
9783838123769
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
info@bod.de
info@bod.de

Überseering 33
Hamburg
22297
Allemagne