Accurate prediction of scorpion toxin functional properties from primary structures

Paul T.J. Tan; K. N. Srinivasan; Seng Hong Seah; Judice L.Y. Koh; Tin Wee Tan; Shoba Ranganathan; Vladimir Brusic

doi:10.1016/j.jmgm.2005.01.003

Accurate prediction of scorpion toxin functional properties from primary structures

Paul T.J. Tan, K. N. Srinivasan, Seng Hong Seah, Judice L.Y. Koh, Tin Wee Tan, Shoba Ranganathan, Vladimir Brusic

Research output: Journal Publication › Article › peer-review

14 Citations (Scopus)

Abstract

Scorpion toxins are common experimental tools for studies of biochemical and pharmacological properties of ion channels. The number of functionally annotated scorpion toxins is steadily growing, but the number of identified toxin sequences is increasing at much faster pace. With an estimated 100,000 different variants, bioinformatic analysis of scorpion toxins is becoming a necessary tool for their systematic functional analysis. Here, we report a bioinformatics-driven system involving scorpion toxin structural classification, functional annotation, database technology, sequence comparison, nearest neighbour analysis, and decision rules which produces highly accurate predictions of scorpion toxin functional properties.

Original language	English
Pages (from-to)	17-24
Number of pages	8
Journal	Journal of Molecular Graphics and Modelling
Volume	24
Issue number	1
DOIs	https://doi.org/10.1016/j.jmgm.2005.01.003
Publication status	Published - Sept 2005
Externally published	Yes

Keywords

Prediction systems
Protein classification
Protein function
Structure-function relationship

ASJC Scopus subject areas

Spectroscopy
Physical and Theoretical Chemistry
Computer Graphics and Computer-Aided Design
Materials Chemistry

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10.1016/j.jmgm.2005.01.003

Cite this

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abstract = "Scorpion toxins are common experimental tools for studies of biochemical and pharmacological properties of ion channels. The number of functionally annotated scorpion toxins is steadily growing, but the number of identified toxin sequences is increasing at much faster pace. With an estimated 100,000 different variants, bioinformatic analysis of scorpion toxins is becoming a necessary tool for their systematic functional analysis. Here, we report a bioinformatics-driven system involving scorpion toxin structural classification, functional annotation, database technology, sequence comparison, nearest neighbour analysis, and decision rules which produces highly accurate predictions of scorpion toxin functional properties.",

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AU - Tan, Paul T.J.

AU - Srinivasan, K. N.

AU - Seah, Seng Hong

AU - Koh, Judice L.Y.

AU - Tan, Tin Wee

AU - Ranganathan, Shoba

AU - Brusic, Vladimir

PY - 2005/9

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AB - Scorpion toxins are common experimental tools for studies of biochemical and pharmacological properties of ion channels. The number of functionally annotated scorpion toxins is steadily growing, but the number of identified toxin sequences is increasing at much faster pace. With an estimated 100,000 different variants, bioinformatic analysis of scorpion toxins is becoming a necessary tool for their systematic functional analysis. Here, we report a bioinformatics-driven system involving scorpion toxin structural classification, functional annotation, database technology, sequence comparison, nearest neighbour analysis, and decision rules which produces highly accurate predictions of scorpion toxin functional properties.

KW - Prediction systems

KW - Protein classification

KW - Protein function

KW - Structure-function relationship

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AN - SCOPUS:24944541500

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JO - Journal of Molecular Graphics and Modelling

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Accurate prediction of scorpion toxin functional properties from primary structures

Abstract

Keywords

ASJC Scopus subject areas

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