Leveraging Enzyme Structure-Function Relationships for Functional Inference and Experimental Design: The Structure-Function Linkage Database

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• 作者：Scott C.-H. Pegg ; Shoshana D. Brown ; Sunil Ojha ; Jennifer Seffernick ; Elaine C. Meng ; John H. Morris ; Patricia J. Chang ; Conrad C. Huang ; Thomas E. Ferrin ; and Patricia C. Babbitt
• 刊名：Biochemistry
• 出版年：2006
• 出版时间：February 28, 2006
• 年：2006
• 卷：45
• 期：8
• 页码：2545 - 2555
• 全文大小：284K
• 年卷期：v.45,no.8(February 28, 2006)
• ISSN：1520-4995

文摘

The study of mechanistically diverse enzyme superfamilies-collections of enzymes that performdifferent overall reactions but share both a common fold and a distinct mechanistic step performed bykey conserved residues-helps elucidate the structure-function relationships of enzymes. We havedeveloped a resource, the structure-function linkage database (SFLD), to analyze these structure-functionrelationships. Unique to the SFLD is its hierarchical classification scheme based on linking the specificpartial reactions (or other chemical capabilities) that are conserved at the superfamily, subgroup, andfamily levels with the conserved structural elements that mediate them. We present the results of analysesusing the SFLD in correcting misannotations, guiding protein engineering experiments, and elucidatingthe function of recently solved enzyme structures from the structural genomics initiative. The SFLD isfreely accessible at http://sfld.rbvi.ucsf.edu.