YAPS: Yet Another Protein Similarity

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

YAPS: Yet Another Protein Similarity

Popis výsledku v původním jazyce

In this article we present a novel method for measuring protein similarity based on their tertiary structure. Our new method deals with suffix trees and classical information retrieval tasks, such as the vector space model, using tf-idf term weighing schema or using various types of similarity measures. Our goal to use the whole PDB database of known proteins, not just some kinds of selections, which have been studied in other works. For verification of our algorithm we are using comparisons with the SCOP database which is maintained primarily by humans. The next goal is to be able to categorize proteins not included in the latest version of the SCOP database with nearly 100% accuracy.

Název v anglickém jazyce

YAPS: Yet Another Protein Similarity

Popis výsledku anglicky

In this article we present a novel method for measuring protein similarity based on their tertiary structure. Our new method deals with suffix trees and classical information retrieval tasks, such as the vector space model, using tf-idf term weighing schema or using various types of similarity measures. Our goal to use the whole PDB database of known proteins, not just some kinds of selections, which have been studied in other works. For verification of our algorithm we are using comparisons with the SCOP database which is maintained primarily by humans. The next goal is to be able to categorize proteins not included in the latest version of the SCOP database with nearly 100% accuracy.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

2009 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION

ISBN

978-1-4244-5330-6

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

Místo vydání

NEW YORK

Místo konání akce

Malajsie

Datum konání akce

4. 12. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000277207700087