Literature DB >> 9541869

Protein folding in the hydrophobic-hydrophilic (HP) model is NP-complete.

B Berger1, T Leighton.   

Abstract

One of the simplest and most popular biophysical models of protein folding is the hydrophobic-hydrophilic (HP) model. The HP model abstracts the hydrophobic interaction in protein folding by labeling the amino acids as hydrophobic (H for nonpolar) or hydrophilic (P for polar). Chains of amino acids are configured as self-avoiding walks on the 3D cubic lattice, where an optimal conformation maximizes the number of adjacencies between H's. In this paper, the protein folding problem under the HP model on the cubic lattice is shown to be NP-complete. This means that the protein folding problem belongs to a large set of problems that are believed to be computationally intractable.

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Year:  1998        PMID: 9541869     DOI: 10.1089/cmb.1998.5.27

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  26 in total

1.  A gradient-directed Monte Carlo method for global optimization in a discrete space: application to protein sequence design and folding.

Authors:  Xiangqian Hu; David N Beratan; Weitao Yang
Journal:  J Chem Phys       Date:  2009-10-21       Impact factor: 3.488

2.  An asymmetric underlying rule in the assignment of codons: possible clue to a quick early evolution of the genetic code via successive binary choices.

Authors:  Marc Delarue
Journal:  RNA       Date:  2006-12-12       Impact factor: 4.942

3.  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

4.  On macroscopic quantum phenomena in biomolecules and cells: from Levinthal to Hopfield.

Authors:  Dejan Raković; Miroljub Dugić; Jasmina Jeknić-Dugić; Milenko Plavšić; Stevo Jaćimovski; Jovan Setrajčić
Journal:  Biomed Res Int       Date:  2014-06-16       Impact factor: 3.411

5.  Monte Carlo simulations of the HP model (the "Ising model" of protein folding).

Authors:  Ying Wai Li; Thomas Wüst; David P Landau
Journal:  Comput Phys Commun       Date:  2011-09-01       Impact factor: 4.390

Review 6.  The Last Secret of Protein Folding: The Real Relationship Between Long-Range Interactions and Local Structures.

Authors:  Aoneng Cao
Journal:  Protein J       Date:  2020-10-10       Impact factor: 2.371

7.  Study of peptide fingerprints of parasite proteins and drug-DNA interactions with Markov-Mean-Energy invariants of biopolymer molecular-dynamic lattice networks.

Authors:  Lázaro Guillermo Pérez-Montoto; María Auxiliadora Dea-Ayuela; Francisco J Prado-Prado; Francisco Bolas-Fernández; Florencio M Ubeira; Humberto González-Díaz
Journal:  Polymer (Guildf)       Date:  2009-06-03       Impact factor: 4.430

8.  CPSP-web-tools: a server for 3D lattice protein studies.

Authors:  Martin Mann; Cameron Smith; Mohamad Rabbath; Marlien Edwards; Sebastian Will; Rolf Backofen
Journal:  Bioinformatics       Date:  2009-01-16       Impact factor: 6.937

9.  Impact of hydrodynamic interactions on protein folding rates depends on temperature.

Authors:  Fabio C Zegarra; Dirar Homouz; Yossi Eliaz; Andrei G Gasic; Margaret S Cheung
Journal:  Phys Rev E       Date:  2018-03       Impact factor: 2.529

Review 10.  Protein folding and de novo protein design for biotechnological applications.

Authors:  George A Khoury; James Smadbeck; Chris A Kieslich; Christodoulos A Floudas
Journal:  Trends Biotechnol       Date:  2013-11-19       Impact factor: 19.536

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