Literature DB >> 12381298

Modulating calmodulin binding specificity through computational protein design.

Julia M Shifman1, Stephen L Mayo.   

Abstract

We report the computational redesign of the protein-binding interface of calmodulin (CaM), a small, ubiquitous Ca(2+)-binding protein that is known to bind to and regulate a variety of functionally and structurally diverse proteins. The CaM binding interface was optimized to improve binding specificity towards one of its natural targets, smooth muscle myosin light chain kinase (smMLCK). The optimization was performed using optimization of rotamers by iterative techniques (ORBIT), a protein design program that utilizes a physically based force-field and the Dead-End Elimination theorem to compute sequences that are optimal for a given protein scaffold. Starting from the structure of the CaM-smMLCK complex, the program considered 10(22) amino acid residue sequences to obtain the lowest-energy CaM sequence. The resulting eightfold mutant, CaM_8, was constructed and tested for binding to a set of seven CaM target peptides. CaM_8 displayed high binding affinity to the smMLCK peptide (1.3nM), similar to that of the wild-type protein (1.8nM). The affinity of CaM_8 to six other target peptides was reduced, as intended, by 1.5-fold to 86-fold. Hence, CaM_8 exhibited increased binding specificity, preferring the smMLCK peptide to the other targets. Studies of this type may increase our understanding of the origins of binding specificity in protein-ligand complexes and may provide valuable information that can be used in the design of novel protein receptors and/or ligands.

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Year:  2002        PMID: 12381298     DOI: 10.1016/s0022-2836(02)00881-1

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  41 in total

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Authors:  Martin G Nussbaumer; Peter Q Nguyen; Pei K R Tay; Alexander Naydich; Erisa Hysi; Zsofia Botyanszki; Neel S Joshi
Journal:  ChemCatChem       Date:  2017-08-02       Impact factor: 5.686

2.  Structural, kinetic, and thermodynamic studies of specificity designed HIV-1 protease.

Authors:  Oscar Alvizo; Seema Mittal; Stephen L Mayo; Celia A Schiffer
Journal:  Protein Sci       Date:  2012-06-05       Impact factor: 6.725

3.  Improving computational protein design by using structure-derived sequence profile.

Authors:  Liang Dai; Yuedong Yang; Hyung Rae Kim; Yaoqi Zhou
Journal:  Proteins       Date:  2010-08-01

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Authors:  Aaron Korkegian; Margaret E Black; David Baker; Barry L Stoddard
Journal:  Science       Date:  2005-05-06       Impact factor: 47.728

5.  Specificity versus stability in computational protein design.

Authors:  Daniel N Bolon; Robert A Grant; Tania A Baker; Robert T Sauer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-29       Impact factor: 11.205

6.  Protein fabrication automation.

Authors:  J Colin Cox; Janel Lape; Mahmood A Sayed; Homme W Hellinga
Journal:  Protein Sci       Date:  2007-01-22       Impact factor: 6.725

7.  Specificity in molecular design: a physical framework for probing the determinants of binding specificity and promiscuity in a biological environment.

Authors:  Mala L Radhakrishnan; Bruce Tidor
Journal:  J Phys Chem B       Date:  2007-11-03       Impact factor: 2.991

8.  A de novo designed protein protein interface.

Authors:  Po-Ssu Huang; John J Love; Stephen L Mayo
Journal:  Protein Sci       Date:  2007-12       Impact factor: 6.725

9.  Exploring the origins of binding specificity through the computational redesign of calmodulin.

Authors:  Julia M Shifman; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-03       Impact factor: 11.205

Review 10.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

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