Geometric Feature Graph Based Analysis by Fober Thomas (4 results)

Taschenbuch. Condition: Neu. Neuware -The structural comparison of whole proteins or protein binding sites is usually performed by making use of graphs. Even though graphs exhibit a lot of interesting and useful properties, the usage of other representations can come along with several benefits. In this book the representation of a protein binding site is tackled. Three representations are considered namely the geometric, the feature-based and the graph-based representation. For all three types, some completely new algorithms are developed and presented. Moreover, existing methods are adapted to the application of protein binding sites' comparison. In addition, algorithms for the construction of multiple structural alignments are presented as a structural counterpart to multiple sequence alignment. By considering four different types of experiments, namely classification, similarity retrieval, clustering and construction of structural alignments, strengths and weaknesses of the proposed methods are detected and discussed. In addition a hybrid approach is presented which combines the benefits of a feature-based and a geometric method leading to a significant speed-up while still holding very good results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 404 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The structural comparison of whole proteins or protein binding sites is usually performed by making use of graphs. Even though graphs exhibit a lot of interesting and useful properties, the usage of other representations can come along with several benefits. In this book the representation of a protein binding site is tackled. Three representations are considered namely the geometric, the feature-based and the graph-based representation. For all three types, some completely new algorithms are developed and presented. Moreover, existing methods are adapted to the application of protein binding sites' comparison. In addition, algorithms for the construction of multiple structural alignments are presented as a structural counterpart to multiple sequence alignment. By considering four different types of experiments, namely classification, similarity retrieval, clustering and construction of structural alignments, strengths and weaknesses of the proposed methods are detected and discussed. In addition a hybrid approach is presented which combines the benefits of a feature-based and a geometric method leading to a significant speed-up while still holding very good results. 404 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fober Thomasholds an M.Sc. degree in Computer Science (Dipl.-Inf.) from the Universitaet Dortmund, Germany, and a Ph.D. degree in the Natural Sciences (Dr. rer. nat.) from the Philipps-Universitaet Marburg, Germany. Since 2007 he is a .

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The structural comparison of whole proteins or protein binding sites is usually performed by making use of graphs. Even though graphs exhibit a lot of interesting and useful properties, the usage of other representations can come along with several benefits. In this book the representation of a protein binding site is tackled. Three representations are considered namely the geometric, the feature-based and the graph-based representation. For all three types, some completely new algorithms are developed and presented. Moreover, existing methods are adapted to the application of protein binding sites' comparison. In addition, algorithms for the construction of multiple structural alignments are presented as a structural counterpart to multiple sequence alignment. By considering four different types of experiments, namely classification, similarity retrieval, clustering and construction of structural alignments, strengths and weaknesses of the proposed methods are detected and discussed. In addition a hybrid approach is presented which combines the benefits of a feature-based and a geometric method leading to a significant speed-up while still holding very good results.