Alignment-Based Extension to DDPIn Feature Extraction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10033971" target="_blank" >RIV/00216208:11320/10:10033971 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Alignment-Based Extension to DDPIn Feature Extraction

Original language description

Finding similarity between a pair of protein structures is one of the fundamental tasks in many areas of bioinformatical research such as protein structure prediction, function mapping, etc. We propose a method for finding pairing of amino acids based ondensities of the structures and we also propose a modification to the original template modeling-score (TM-Score) rotation algorithm that assess similarity score to this alignment. Proposed modification is faster than TM and comparably robust accordingto non-optimal parts in the alignment. We measure the qualities of the algorithm in terms of structural classification of proteins (SCOP) classification accuracy. Regarding the accuracy, our solution outperforms the contemporary solutions at two out of three tested levels of the SCOP hierarchy.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

—

Project

<a href="/en/project/GA201%2F09%2F0683" target="_blank" >GA201/09/0683: Similarity searching in very large multimedia databases</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Computational Bioscience

ISSN

1918-3909

e-ISSN

—

Volume of the periodical

1

Issue of the periodical within the volume

1

Country of publishing house

CA - CANADA

Number of pages

9

Pages from-to

—

UT code for WoS article

—

EID of the result in the Scopus database

—