Literature DB >> 18615422

A novel method for enzyme design.

Xiaolei Zhu1, Luhua Lai.   

Abstract

Rational design of enzymes is a stringent test of our understanding of protein structure and function relationship, which also has numerous potential applications. We present a novel method for enzyme design that can find good candidate protein scaffolds in a protein-ligand database based on vector matching of key residues. Residues in the vicinity of the active site were also compared according to a similarity score between the scaffold protein and the target enzyme. Suitable scaffold proteins were selected, and the side chains of residues around the active sites were rebuilt using a previously developed side-chain packing program. Triose phosphate isomerase (TIM) was used as a validation test for enzyme design. Selected scaffold proteins were found to accommodate the enzyme active sites and successfully form a good transition state complex. This method overcomes the limitations of the current enzyme design methods that use limited number of protein scaffold and based on the position of ligands. As there are a large number of protein scaffolds available in the Protein Data Band, this method should be widely applicable for various types of enzyme design. (c) 2008 Wiley Periodicals, Inc.

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Year:  2009        PMID: 18615422     DOI: 10.1002/jcc.21050

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

Review 1.  Engineering synthetic recursive pathways to generate non-natural small molecules.

Authors:  Elizabeth A Felnagle; Asha Chaubey; Elizabeth L Noey; Kendall N Houk; James C Liao
Journal:  Nat Chem Biol       Date:  2012-05-17       Impact factor: 15.040

2.  A matching algorithm for catalytic residue site selection in computational enzyme design.

Authors:  Yulin Lei; Wenjia Luo; Yushan Zhu
Journal:  Protein Sci       Date:  2011-07-29       Impact factor: 6.725

3.  Directed modification of the Aspergillus usamii β-mannanase to improve its substrate affinity by in silico design and site-directed mutagenesis.

Authors:  Jianfang Li; Xihuan Wei; Cunduo Tang; Junqing Wang; Mei Zhao; Qingfeng Pang; Minchen Wu
Journal:  J Ind Microbiol Biotechnol       Date:  2014-02-04       Impact factor: 3.346

4.  Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field.

Authors:  Jalil Villalobos-Alva; Luis Ochoa-Toledo; Mario Javier Villalobos-Alva; Atocha Aliseda; Fernando Pérez-Escamirosa; Nelly F Altamirano-Bustamante; Francine Ochoa-Fernández; Ricardo Zamora-Solís; Sebastián Villalobos-Alva; Cristina Revilla-Monsalve; Nicolás Kemper-Valverde; Myriam M Altamirano-Bustamante
Journal:  Front Bioeng Biotechnol       Date:  2022-07-07

Review 5.  Computational approaches for rational design of proteins with novel functionalities.

Authors:  Manish Kumar Tiwari; Ranjitha Singh; Raushan Kumar Singh; In-Won Kim; Jung-Kul Lee
Journal:  Comput Struct Biotechnol J       Date:  2012-09-28       Impact factor: 7.271

6.  Use of an Improved Matching Algorithm to Select Scaffolds for Enzyme Design Based on a Complex Active Site Model.

Authors:  Xiaoqiang Huang; Jing Xue; Min Lin; Yushan Zhu
Journal:  PLoS One       Date:  2016-05-31       Impact factor: 3.240

7.  A computational method for design of connected catalytic networks in proteins.

Authors:  Brian D Weitzner; Yakov Kipnis; A Gerard Daniel; Donald Hilvert; David Baker
Journal:  Protein Sci       Date:  2019-12       Impact factor: 6.725

8.  TransCent: computational enzyme design by transferring active sites and considering constraints relevant for catalysis.

Authors:  André Fischer; Nils Enkler; Gerd Neudert; Marco Bocola; Reinhard Sterner; Rainer Merkl
Journal:  BMC Bioinformatics       Date:  2009-02-10       Impact factor: 3.169

  8 in total

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