Literature DB >> 18576090

Polysaccharide hydrolase folds diversity of structure and convergence of function.

M E Himmel1, P A Karplus, J Sakon, W S Adney, J O Baker, S R Thomas.   

Abstract

Polysaccharide glycosyl hydrolases are a group of enzymes that hydrolyze the glycosidic bond between carbohydrates or between a carbohydrate and a noncarbohydrate moiety. Here we illustrate that traditional schemes for grouping enzymes, such as by substrate specificity or by organism of origin, are not appropriate when thinking of structure-function relationships and protein engineering. Instead, sequence comparisons and structural studies reveal that enzymes with diverse specificities and from diverse organisms can be placed into groups among which mechanisms are largely conserved and insights are likely to be transferrable. In particular, we illustrate how enzymes have been grouped using protein sequence alignment algorithms and hydrophobic cluster analysis. Unfortunately for those who seek to improve cellulase function by design, cellulases are distributed throughout glycosyl hydrolase Families 1,5,6,7,9, and 45. These cellulase families include members from widely different fold types, i.e., the TIM-barrel, betaalphabeta-barrel variant (a TIM-barrel-like structure that is imperfectly superimposable on the TIM-barrel template), beta-sandwich, and alpha-helix circular array. This diversity in cellulase fold structure must be taken into account when considering the transfer and application of design strategies between various cellulases.

Entities:  

Year:  1997        PMID: 18576090     DOI: 10.1007/BF02920433

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  2 in total

1.  Metabolic engineering of Escherichia coli BW25113 for the production of 5-Aminolevulinic Acid based on CRISPR/Cas9 mediated gene knockout and metabolic pathway modification.

Authors:  Changchuan Ye; Yuting Yang; Xi Chen; Lijie Yang; Xia Hua; Mengjie Yang; Xiangfang Zeng; Shiyan Qiao
Journal:  J Biol Eng       Date:  2022-10-13       Impact factor: 6.248

2.  Comparing Residue Clusters from Thermophilic and Mesophilic Enzymes Reveals Adaptive Mechanisms.

Authors:  Deanne W Sammond; Noah Kastelowitz; Michael E Himmel; Hang Yin; Michael F Crowley; Yannick J Bomble
Journal:  PLoS One       Date:  2016-01-07       Impact factor: 3.240

  2 in total

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