A new method for protein domain recognition

Z. Y. Xuan; L. J. Ling; R. S. Chen

doi:10.1007/s002490050246

A new method for protein domain recognition

Z. Y. Xuan, L. J. Ling, R. S. Chen

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

A fuzzy cluster method is presented to recognize protein domains. This algorithm can identify domains globally. A protein structure set was used to test the algorithm. Among 219 proteins, 66.7% yielded results that agreed with the reference definitions, 30.6% showed minor differences, and only 2.7% (six proteins) showed major differences with the reference. The new method is more than 20 times fast than previous algorithms.

Original language	English (US)
Pages (from-to)	7-16
Number of pages	10
Journal	European Biophysics Journal
Volume	29
Issue number	1
DOIs	https://doi.org/10.1007/s002490050246
State	Published - 2000
Externally published	Yes

Keywords

Domain database
Fuzzy cluster analysis
Protein domain
Protein structure

ASJC Scopus subject areas

Biophysics

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10.1007/s002490050246

Cite this

@article{51f1afd3ffea44aa9e6995ace4c402f8,

title = "A new method for protein domain recognition",

abstract = "A fuzzy cluster method is presented to recognize protein domains. This algorithm can identify domains globally. A protein structure set was used to test the algorithm. Among 219 proteins, 66.7% yielded results that agreed with the reference definitions, 30.6% showed minor differences, and only 2.7% (six proteins) showed major differences with the reference. The new method is more than 20 times fast than previous algorithms.",

keywords = "Domain database, Fuzzy cluster analysis, Protein domain, Protein structure",

author = "Xuan, {Z. Y.} and Ling, {L. J.} and Chen, {R. S.}",

note = "Funding Information: Acknowledgements We would like to thank the National Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics & Scientific and Engineering Computing, Chinese Academy of Sciences, who allowed free use their computers and for their kind help. This work is supported by grants 39392900 and 39830070 of the Chinese National Scientific Foundation.",

year = "2000",

doi = "10.1007/s002490050246",

language = "English (US)",

volume = "29",

pages = "7--16",

journal = "European Biophysics Journal",

issn = "0175-7571",

publisher = "Springer Verlag",

number = "1",

}

TY - JOUR

T1 - A new method for protein domain recognition

AU - Xuan, Z. Y.

AU - Ling, L. J.

AU - Chen, R. S.

N1 - Funding Information: Acknowledgements We would like to thank the National Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics & Scientific and Engineering Computing, Chinese Academy of Sciences, who allowed free use their computers and for their kind help. This work is supported by grants 39392900 and 39830070 of the Chinese National Scientific Foundation.

PY - 2000

Y1 - 2000

N2 - A fuzzy cluster method is presented to recognize protein domains. This algorithm can identify domains globally. A protein structure set was used to test the algorithm. Among 219 proteins, 66.7% yielded results that agreed with the reference definitions, 30.6% showed minor differences, and only 2.7% (six proteins) showed major differences with the reference. The new method is more than 20 times fast than previous algorithms.

AB - A fuzzy cluster method is presented to recognize protein domains. This algorithm can identify domains globally. A protein structure set was used to test the algorithm. Among 219 proteins, 66.7% yielded results that agreed with the reference definitions, 30.6% showed minor differences, and only 2.7% (six proteins) showed major differences with the reference. The new method is more than 20 times fast than previous algorithms.

KW - Domain database

KW - Fuzzy cluster analysis

KW - Protein domain

KW - Protein structure

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U2 - 10.1007/s002490050246

DO - 10.1007/s002490050246

M3 - Article

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AN - SCOPUS:0033800628

SN - 0175-7571

VL - 29

SP - 7

EP - 16

JO - European Biophysics Journal

JF - European Biophysics Journal

IS - 1

ER -

A new method for protein domain recognition

Abstract

Keywords

ASJC Scopus subject areas

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