The Short-chain Dehydrogenase/Reductase Engineering Database (SDRED): A classification and analysis system for a highly diverse enzyme family

被引:33
|
作者
Graeff, Maike [1 ]
Buchholz, Patrick C. F. [1 ]
Stockinger, Peter [1 ]
Bommarius, Bettina [2 ]
Bommarius, Andreas S. [2 ]
Pleiss, Juergen [1 ]
机构
[1] Univ Stuttgart, Inst Biochem & Tech Biochem, Stuttgart, Germany
[2] Georgia Inst Technol, Dept Chem & Biomol Engn, Atlanta, GA 30332 USA
关键词
protein family database; SDR; SDRED; sequence network; sequence-function-relationship; ALCOHOL-DEHYDROGENASE; STRUCTURAL INSIGHT; SEARCH; REDUCTASES; SUBSTITUTION; SUPERFAMILY; REDUCTION; SUBSTRATE; ALIGNMENT; SEQUENCE;
D O I
10.1002/prot.25666
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The Short-chain Dehydrogenases/Reductases Engineering Database (SDRED) covers one of the largest known protein families (168 150 proteins). Assignment to the superfamilies of Classical and Extended SDRs was achieved by global sequence similarity and by identification of family-specific sequence motifs. Two standard numbering schemes were established for Classical and Extended SDRs that allow for the determination of conserved amino acid residues, such as cofactor specificity determining positions or superfamily specific sequence motifs. The comprehensive sequence dataset of the SDRED facilitates the refinement of family-specific sequence motifs. The glycine-rich motifs for Classical and Extended SDRs were refined to improve the precision of superfamily classification. In each superfamily, the majority of sequences formed a tightly connected sequence network and belonged to a large homologous family. Despite their different sequence motifs and their different sequence length, the two sequence networks of Classical and Extended SDRs are not separate, but connected by edges at a threshold of 40% sequence similarity, indicating that all SDRs belong to a large, connected network. The SDRED is accessible at https://sdred.biocatnet.de/.
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页码:443 / 451
页数:9
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