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On using energy signatures in protein structure similarity searching

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

The analysis of small molecular substructures (like enzyme active sites) in the whole protein structure can be supported by using methods of similarity searching. These methods allow to search the 3D structural patterns in a database of protein structures. However, the well-known methods of fold similarity searching like VAST or DALI are not appropriate for this task. Methods that benefit from a dependency between a spatial conformation and potential energy of protein structure seem to be more supportive. In the paper, we present a new version of the EAST (Energy Alignment Search Tool) algorithm that uses energy signatures in the process of similarity searching. This makes the algorithm not only more sensitive, but also eliminates disadvantages of previous implementations of our EAST method.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Proceedings
Pages939-950
Number of pages12
DOIs
Publication statusPublished - 2008
Event9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008 - Zakopane, Poland
Duration: 22 Jun 200826 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5097 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008
Country/TerritoryPoland
CityZakopane
Period22/06/0826/06/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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