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Title: Functional prediction of bioactive toxins in scorpion venom through bioinformatics
Keywords: Scorpion, venom, structure-function relationships, bioinformatics, prediction
Issue Date: 17-Nov-2006
Citation: TAN THIAM JOO, PAUL (2006-11-17). Functional prediction of bioactive toxins in scorpion venom through bioinformatics. ScholarBank@NUS Repository.
Abstract: Venomous animals produce myriads of important pharmacological components. The individual venom toxins are used in ion channel and receptor studies, drug discovery, and formulation of insecticides. The toxin data are scattered across public databases which provide sequence and structural descriptions, but very limited functional annotation. The exponential growth of newly identified toxin data has created a need for better data management and methods to rapidly and reliably infer the functions of these toxins. General approach of inferring function by sequence homology is limited because subtle changes at critical functional residues can lead to loss of function. Venominformatics is a systematic bioinformatics approach in which classified, consolidated, and cleaned venom data are stored into repositories and integrated with advanced bioinformatics tools for the analysis of structure and function of toxins. Knowledge gained is used to build prediction tools. Venominformatics complements experimental studies and helps reduce the number of essential experiments.
Appears in Collections:Ph.D Theses (Open)

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