Literature DB >> 23345753

Enumerating Designing Sequences in the HP Model.

Anders Irbäck, Carl Troein.   

Abstract

The hydrophobic/polar HP model on the square lattice has been widely used toinvestigate basics of protein folding. In the cases where all designing sequences (sequences with unique ground states) were enumerated without restrictions on the number of contacts, the upper limit on the chain length N has been 18-20 because of the rapid exponential growth of thenumbers of conformations and sequences. We show how a few optimizations push this limit by about 5 units. Based on these calculations, we study the statistical distribution of hydrophobicity along designing sequences. We find that the average number of hydrophobic and polar clumps along the chains is larger for designing sequences than for random ones, which is in agreement with earlier findings for N ≤ 18 and with results for real enzymes. We also show that this deviation from randomness disappears if the calculations are restricted to maximally compact structures.

Entities:  

Keywords:  exact enumeration; folding thermodynamics; hydrophobic/polar lattice model; hydrophobicity correlations; protein folding; protein sequence analysis

Year:  2002        PMID: 23345753      PMCID: PMC3456819          DOI: 10.1023/A:1016225010659

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  12 in total

1.  Design of sequences with good folding properties in coarse-grained protein models.

Authors:  A Irbäck; C Peterson; F Potthast; E Sandelin
Journal:  Structure       Date:  1999-03-15       Impact factor: 5.006

2.  The evolutionary landscape of functional model proteins.

Authors:  J D Hirst
Journal:  Protein Eng       Date:  1999-09

3.  On hydrophobicity correlations in protein chains.

Authors:  A Irbäck; E Sandelin
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

4.  Effect of alphabet size and foldability requirements on protein structure designability.

Authors:  N E Buchler; R A Goldstein
Journal:  Proteins       Date:  1999-01-01

5.  Statistical distribution of hydrophobic residues along the length of protein chains. Implications for protein folding and evolution.

Authors:  S H White; R E Jacobs
Journal:  Biophys J       Date:  1990-04       Impact factor: 4.033

6.  Comparing folding codes for proteins and polymers.

Authors:  H S Chan; K A Dill
Journal:  Proteins       Date:  1996-03

7.  Impact of local and non-local interactions on thermodynamics and kinetics of protein folding.

Authors:  V I Abkevich; A M Gutin; E I Shakhnovich
Journal:  J Mol Biol       Date:  1995-09-29       Impact factor: 5.469

Review 8.  Principles of protein folding--a perspective from simple exact models.

Authors:  K A Dill; S Bromberg; K Yue; K M Fiebig; D P Yee; P D Thomas; H S Chan
Journal:  Protein Sci       Date:  1995-04       Impact factor: 6.725

9.  A test of lattice protein folding algorithms.

Authors:  K Yue; K M Fiebig; P D Thomas; H S Chan; E I Shakhnovich; K A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  1995-01-03       Impact factor: 11.205

10.  Origins of structure in globular proteins.

Authors:  H S Chan; K A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  1990-08       Impact factor: 11.205

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  27 in total

1.  On hydrophobicity and conformational specificity in proteins.

Authors:  Erik Sandelin
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

2.  Information content of molecular structures.

Authors:  David C Sullivan; Tiba Aynechi; Vincent A Voelz; Irwin D Kuntz
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

3.  Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.

Authors:  Yu Xia; Michael Levitt
Journal:  Proteins       Date:  2004-04-01

4.  A comparison of genotype-phenotype maps for RNA and proteins.

Authors:  Evandro Ferrada; Andreas Wagner
Journal:  Biophys J       Date:  2012-04-18       Impact factor: 4.033

5.  An information theoretic approach to macromolecular modeling: II. Force fields.

Authors:  Tiba Aynechi; Irwin D Kuntz
Journal:  Biophys J       Date:  2005-11       Impact factor: 4.033

6.  Predicting the tolerance of proteins to random amino acid substitution.

Authors:  Claus O Wilke; Jesse D Bloom; D Allan Drummond; Alpan Raval
Journal:  Biophys J       Date:  2005-09-08       Impact factor: 4.033

7.  Comparing folding codes in simple heteropolymer models of protein evolutionary landscape: robustness of the superfunnel paradigm.

Authors:  Richard Wroe; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

8.  The role of protein homochirality in shaping the energy landscape of folding.

Authors:  Vikas Nanda; Aina Andrianarijaona; Chitra Narayanan
Journal:  Protein Sci       Date:  2007-06-28       Impact factor: 6.725

9.  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

10.  Shape-dependent designability studies of lattice proteins.

Authors:  Myron Peto; Andrzej Kloczkowski; Robert L Jernigan
Journal:  J Phys Condens Matter       Date:  2007-07-18       Impact factor: 2.333

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