Literature DB >> 18514737

Design of protein-ligand binding based on the molecular-mechanics energy model.

F Edward Boas1, Pehr B Harbury.   

Abstract

While the molecular-mechanics field has standardized on a few potential energy functions, computational protein design efforts are based on potentials that are unique to individual laboratories. Here we show that a standard molecular-mechanics potential energy function without any modifications can be used to engineer protein-ligand binding. A molecular-mechanics potential is used to reconstruct the coordinates of various binding sites with an average root-mean-square error of 0.61 A and to reproduce known ligand-induced side-chain conformational shifts. Within a series of 34 mutants, the calculation can always distinguish between weak (K(d)>1 mM) and tight (K(d)<10 microM) binding sequences. Starting from partial coordinates of the ribose-binding protein lacking the ligand and the 10 primary contact residues, the molecular-mechanics potential is used to redesign a ribose-binding site. Out of a search space of 2 x 10(12) sequences, the calculation selects a point mutant of the native protein as the top solution (experimental K(d)=17 microM) and the native protein as the second best solution (experimental K(d)=210 nM). The quality of the predictions depends on the accuracy of the generalized Born electrostatics model, treatment of protonation equilibria, high-resolution rotamer sampling, a final local energy minimization step, and explicit modeling of the bound, unbound, and unfolded states. The application of unmodified molecular-mechanics potentials to protein design links two fields in a mutually beneficial way. Design provides a new avenue for testing molecular-mechanics energy functions, and future improvements in these energy functions will presumably lead to more accurate design results.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18514737      PMCID: PMC2569001          DOI: 10.1016/j.jmb.2008.04.001

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


  47 in total

1.  Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models.

Authors:  P A Kollman; I Massova; C Reyes; B Kuhn; S Huo; L Chong; M Lee; T Lee; Y Duan; W Wang; O Donini; P Cieplak; J Srinivasan; D A Case; T E Cheatham
Journal:  Acc Chem Res       Date:  2000-12       Impact factor: 22.384

2.  The penultimate rotamer library.

Authors:  S C Lovell; J M Word; J S Richardson; D C Richardson
Journal:  Proteins       Date:  2000-08-15

Review 3.  Generalized born models of macromolecular solvation effects.

Authors:  D Bashford; D A Case
Journal:  Annu Rev Phys Chem       Date:  2000       Impact factor: 12.703

4.  Enzyme-like proteins by computational design.

Authors:  D N Bolon; S L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-27       Impact factor: 11.205

5.  Quantum mechanics simulation of protein dynamics on long timescale.

Authors:  H Liu; M Elstner; E Kaxiras; T Frauenheim; J Hermans; W Yang
Journal:  Proteins       Date:  2001-09-01

6.  Automated design of specificity in molecular recognition.

Authors:  James J Havranek; Pehr B Harbury
Journal:  Nat Struct Biol       Date:  2003-01

7.  Absolute comparison of simulated and experimental protein-folding dynamics.

Authors:  Christopher D Snow; Houbi Nguyen; Vijay S Pande; Martin Gruebele
Journal:  Nature       Date:  2002-10-20       Impact factor: 49.962

8.  Binding of a diverse set of ligands to avidin and streptavidin: an accurate quantitative prediction of their relative affinities by a combination of molecular mechanics and continuum solvent models.

Authors:  B Kuhn; P A Kollman
Journal:  J Med Chem       Date:  2000-10-05       Impact factor: 7.446

9.  Computational alanine scanning of the 1:1 human growth hormone-receptor complex.

Authors:  Shuanghong Huo; Irina Massova; Peter A Kollman
Journal:  J Comput Chem       Date:  2002-01-15       Impact factor: 3.376

10.  Consistent treatment of inter- and intramolecular polarization in molecular mechanics calculations.

Authors:  Pengyu Ren; Jay W Ponder
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

View more
  20 in total

1.  Experimental library screening demonstrates the successful application of computational protein design to large structural ensembles.

Authors:  Benjamin D Allen; Alex Nisthal; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-02       Impact factor: 11.205

2.  Computational design of ligand binding is not a solved problem.

Authors:  Bettina Schreier; Christian Stumpp; Silke Wiesner; Birte Höcker
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-15       Impact factor: 11.205

3.  Improved energy bound accuracy enhances the efficiency of continuous protein design.

Authors:  Kyle E Roberts; Bruce R Donald
Journal:  Proteins       Date:  2015-05-08

Review 4.  Multistate approaches in computational protein design.

Authors:  James A Davey; Roberto A Chica
Journal:  Protein Sci       Date:  2012-08-10       Impact factor: 6.725

5.  Systematic optimization model and algorithm for binding sequence selection in computational enzyme design.

Authors:  Xiaoqiang Huang; Kehang Han; Yushan Zhu
Journal:  Protein Sci       Date:  2013-06-06       Impact factor: 6.725

Review 6.  Evolution: a guide to perturb protein function and networks.

Authors:  Olivier Lichtarge; Angela Wilkins
Journal:  Curr Opin Struct Biol       Date:  2010-05-03       Impact factor: 6.809

7.  QM/MM refinement and analysis of protein bound retinoic acid.

Authors:  Xue Li; Zheng Fu; Kenneth M Merz
Journal:  J Comput Chem       Date:  2011-11-23       Impact factor: 3.376

Review 8.  Protein engineering: a new frontier for biological therapeutics.

Authors:  Peter H Tobin; David H Richards; Randolph A Callender; Corey J Wilson
Journal:  Curr Drug Metab       Date:  2014       Impact factor: 3.731

9.  Engineered Domain Swapping as an On/Off Switch for Protein Function.

Authors:  Jeung-Hoi Ha; Joshua M Karchin; Nancy Walker-Kopp; Carlos A Castañeda; Stewart N Loh
Journal:  Chem Biol       Date:  2015-10-22

Review 10.  Specificity in computational protein design.

Authors:  James J Havranek
Journal:  J Biol Chem       Date:  2010-07-29       Impact factor: 5.157

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.