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https://doi.org/10.1016/j.jmgm.2005.01.003
| Title: | Accurate prediction of scorpion toxin functional properties from primary structures | Authors: | Tan, P.T.J. Seah, S.H. Koh, J.L.Y. Ranganathan, S. Brusic, V. Tan, T.W. Srinivasan, K.N. |
Keywords: | Prediction systems Protein classification Protein function Structure-function relationship |
Issue Date: | 2005 | Citation: | Tan, P.T.J., Seah, S.H., Koh, J.L.Y., Ranganathan, S., Brusic, V., Tan, T.W., Srinivasan, K.N. (2005). Accurate prediction of scorpion toxin functional properties from primary structures. Journal of Molecular Graphics and Modelling 24 (1) : 17-24. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jmgm.2005.01.003 | 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. © 2005 Elsevier Inc. All rights reserved. | Source Title: | Journal of Molecular Graphics and Modelling | URI: | http://scholarbank.nus.edu.sg/handle/10635/28501 | ISSN: | 10933263 | DOI: | 10.1016/j.jmgm.2005.01.003 |
| Appears in Collections: | Staff Publications |
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