Literature DB >> 22411636

Comparative modeling and protein-like features of hydrophobic-polar models on a two-dimensional lattice.

Sergio Moreno-Hernández1, Michael Levitt.   

Abstract

Lattice models of proteins have been extensively used to study protein thermodynamics, folding dynamics, and evolution. Our study considers two different hydrophobic-polar (HP) models on the 2D square lattice: the purely HP model and a model where a compactness-favoring term is added. We exhaustively enumerate all the possible structures in our models and perform the study of their corresponding folds, HP arrangements in space and shapes. The two models considered differ greatly in their numbers of structures, folds, arrangements, and shapes. Despite their differences, both lattice models have distinctive protein-like features: (1) Shapes are compact in both models, especially when a compactness-favoring energy term is added. (2) The residue composition is independent of the chain length and is very close to 50% hydrophobic in both models, as we observe in real proteins. (3) Comparative modeling works well in both models, particularly in the more compact one. The fact that our models show protein-like features suggests that lattice models incorporate the fundamental physical principles of proteins. Our study supports the use of lattice models to study questions about proteins that require exactness and extensive calculations, such as protein design and evolution, which are often too complex and computationally demanding to be addressed with more detailed models.
Copyright © 2012 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22411636      PMCID: PMC3348970          DOI: 10.1002/prot.24067

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  65 in total

1.  Modeling evolutionary landscapes: mutational stability, topology, and superfunnels in sequence space.

Authors:  E Bornberg-Bauer; H S Chan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

2.  Designability of protein structures: a lattice-model study using the Miyazawa-Jernigan matrix.

Authors:  Hao Li; Chao Tang; Ned S Wingreen
Journal:  Proteins       Date:  2002-11-15

3.  Side-chain recognition and gating in the ribosome exit tunnel.

Authors:  Paula M Petrone; Christopher D Snow; Del Lucent; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-22       Impact factor: 11.205

4.  Simulations of the folding of a globular protein.

Authors:  J Skolnick; A Kolinski
Journal:  Science       Date:  1990-11-23       Impact factor: 47.728

5.  Are protein folds atypical?

Authors:  H Li; C Tang; N S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-28       Impact factor: 11.205

6.  On the origin of the cooperativity of protein folding: implications from model simulations.

Authors:  A Kolinski; W Galazka; J Skolnick
Journal:  Proteins       Date:  1996-11

7.  Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.

Authors:  J W Ponder; F M Richards
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

8.  A 3D building blocks approach to analyzing and predicting structure of proteins.

Authors:  R Unger; D Harel; S Wherland; J L Sussman
Journal:  Proteins       Date:  1989

9.  How does a protein fold?

Authors:  A Sali; E Shakhnovich; M Karplus
Journal:  Nature       Date:  1994-05-19       Impact factor: 49.962

10.  The FSSP database: fold classification based on structure-structure alignment of proteins.

Authors:  L Holm; C Sander
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

View more
  8 in total

1.  Biophysics of protein evolution and evolutionary protein biophysics.

Authors:  Tobias Sikosek; Hue Sun Chan
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

2.  Foldamer hypothesis for the growth and sequence differentiation of prebiotic polymers.

Authors:  Elizaveta Guseva; Ronald N Zuckermann; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-22       Impact factor: 11.205

3.  Evolutionary dynamics on protein bi-stability landscapes can potentially resolve adaptive conflicts.

Authors:  Tobias Sikosek; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  PLoS Comput Biol       Date:  2012-09-13       Impact factor: 4.475

4.  The amino acid alphabet and the architecture of the protein sequence-structure map. I. Binary alphabets.

Authors:  Evandro Ferrada
Journal:  PLoS Comput Biol       Date:  2014-12-04       Impact factor: 4.475

5.  On the characterization and software implementation of general protein lattice models.

Authors:  Alessio Bechini
Journal:  PLoS One       Date:  2013-03-29       Impact factor: 3.240

6.  Efficient conformational space exploration in ab initio protein folding simulation.

Authors:  Ahammed Ullah; Nasif Ahmed; Subrata Dey Pappu; Swakkhar Shatabda; A Z M Dayem Ullah; M Sohel Rahman
Journal:  R Soc Open Sci       Date:  2015-08-26       Impact factor: 2.963

7.  A firefly-inspired method for protein structure prediction in lattice models.

Authors:  Brian Maher; Andreas A Albrecht; Martin Loomes; Xin-She Yang; Kathleen Steinhöfel
Journal:  Biomolecules       Date:  2014-01-07

8.  How good are simplified models for protein structure prediction?

Authors:  Swakkhar Shatabda; M A Hakim Newton; Mahmood A Rashid; Duc Nghia Pham; Abdul Sattar
Journal:  Adv Bioinformatics       Date:  2014-04-29
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.