Literature DB >> 8281131

Finding the lowest free energy conformation of a protein is an NP-hard problem: proof and implications.

R Unger1, J Moult.   

Abstract

The protein folding problem and the notion of NP-completeness and NP-hardness are discussed. A lattice model is suggested to capture the essence of protein folding. For this model we present a proof that finding the lowest free energy conformation belongs to the class of NP-hard problems. The implications of the proof are discussed and we suggest that the natural folding process cannot be considered as a search for the global free energy minimum. However, we suggest an explanation as to why, for many proteins, the native functional conformation may coincide with the lowest free energy conformation.

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Year:  1993        PMID: 8281131     DOI: 10.1007/BF02460703

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  23 in total

1.  Computer simulation of protein folding.

Authors:  M Levitt; A Warshel
Journal:  Nature       Date:  1975-02-27       Impact factor: 49.962

2.  The kinetics of formation of native ribonuclease during oxidation of the reduced polypeptide chain.

Authors:  C B ANFINSEN; E HABER; M SELA; F H WHITE
Journal:  Proc Natl Acad Sci U S A       Date:  1961-09-15       Impact factor: 11.205

Review 3.  Dominant forces in protein folding.

Authors:  K A Dill
Journal:  Biochemistry       Date:  1990-08-07       Impact factor: 3.162

4.  An analysis of protein folding pathways.

Authors:  J Moult; R Unger
Journal:  Biochemistry       Date:  1991-04-23       Impact factor: 3.162

5.  Database algorithm for generating protein backbone and side-chain co-ordinates from a C alpha trace application to model building and detection of co-ordinate errors.

Authors:  L Holm; C Sander
Journal:  J Mol Biol       Date:  1991-03-05       Impact factor: 5.469

6.  NMR evidence for an early framework intermediate on the folding pathway of ribonuclease A.

Authors:  J B Udgaonkar; R L Baldwin
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

7.  Principles that govern the folding of protein chains.

Authors:  C B Anfinsen
Journal:  Science       Date:  1973-07-20       Impact factor: 47.728

Review 8.  Knowledge-based prediction of protein structures and the design of novel molecules.

Authors:  T L Blundell; B L Sibanda; M J Sternberg; J M Thornton
Journal:  Nature       Date:  1987 Mar 26-Apr 1       Impact factor: 49.962

9.  Complexity of protein folding.

Authors:  A S Fraenkel
Journal:  Bull Math Biol       Date:  1993-11       Impact factor: 1.758

10.  Comparative Modeling of Protein Structure-Progress and Prospects.

Authors:  John Moult
Journal:  J Res Natl Inst Stand Technol       Date:  1989 Jan-Feb
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  19 in total

1.  Protein folding optimization based on 3D off-lattice model via an improved artificial bee colony algorithm.

Authors:  Bai Li; Mu Lin; Qiao Liu; Ya Li; Changjun Zhou
Journal:  J Mol Model       Date:  2015-09-17       Impact factor: 1.810

2.  Classifying proteinlike sequences in arbitrary lattice protein models using LatPack.

Authors:  Martin Mann; Daniel Maticzka; Rhodri Saunders; Rolf Backofen
Journal:  HFSP J       Date:  2008-11-26

Review 3.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

Review 4.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

5.  From network reliability to the Ising model: A parallel scheme for estimating the joint density of states.

Authors:  Yihui Ren; Stephen Eubank; Madhurima Nath
Journal:  Phys Rev E       Date:  2016-10-20       Impact factor: 2.529

Review 6.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

7.  When the lowest energy does not induce native structures: parallel minimization of multi-energy values by hybridizing searching intelligences.

Authors:  Qiang Lü; Xiao-Yan Xia; Rong Chen; Da-Jun Miao; Sha-Sha Chen; Li-Jun Quan; Hai-Ou Li
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

8.  Lattice model for rapidly folding protein-like heteropolymers.

Authors:  I Shrivastava; S Vishveshwara; M Cieplak; A Maritan; J R Banavar
Journal:  Proc Natl Acad Sci U S A       Date:  1995-09-26       Impact factor: 11.205

9.  Complexity of protein folding.

Authors:  A S Fraenkel
Journal:  Bull Math Biol       Date:  1993-11       Impact factor: 1.758

Review 10.  Evolution, energy landscapes and the paradoxes of protein folding.

Authors:  Peter G Wolynes
Journal:  Biochimie       Date:  2014-12-18       Impact factor: 4.079

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