Literature DB >> 8869633

Designing amino acid sequences to fold with good hydrophobic cores.

S Sun1, R Brem, H S Chan, K A Dill.   

Abstract

We present two methods for designing amino acid sequences of proteins that will fold to have good hydrophobic cores. Given the coordinates of the desired target protein or polymer structure, the methods generate sequences of hydrophobic (H) and polar (P) monomers that are intended to fold to these structures. One method designs hydrophobic inside, polar outside; the other minimizes an energy function in a sequence evolution process. The sequences generated by these methods agree at the level of 60-80% of the sequence positions in 20 proteins in the Protein Data Bank. A major challenge in protein design is to create sequences that can fold uniquely, i.e. to a single conformation rather than to many. While an earlier lattice-based sequence evolution method was shown not to design unique folders, our method generates unique folders in lattice model tests. These methods may also be useful in designing other types of foldable polymer not based on amino acids.

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Year:  1995        PMID: 8869633     DOI: 10.1093/protein/8.12.1205

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  13 in total

1.  A self-consistent knowledge-based approach to protein design.

Authors:  A Rossi; C Micheletti; F Seno; A Maritan
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  Rotamer strain as a determinant of protein structural specificity.

Authors:  G A Lazar; E C Johnson; J R Desjarlais; T M Handel
Journal:  Protein Sci       Date:  1999-12       Impact factor: 6.725

3.  A minimalist model protein with multiple folding funnels.

Authors:  C R Locker; R Hernandez
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-24       Impact factor: 11.205

4.  Reversible thermal denaturation of a 60-kDa genetically engineered beta-sheet polypeptide.

Authors:  Igor K Lednev; Vladimir V Ermolenkov; Seiichiro Higashiya; Ludmila A Popova; Natalya I Topilina; John T Welch
Journal:  Biophys J       Date:  2006-08-04       Impact factor: 4.033

5.  The network of sequence flow between protein structures.

Authors:  Leonid Meyerguz; Jon Kleinberg; Ron Elber
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-27       Impact factor: 11.205

6.  Probing the role of packing specificity in protein design.

Authors:  B I Dahiyat; S L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  1997-09-16       Impact factor: 11.205

7.  Funneled energy landscape unifies principles of protein binding and evolution.

Authors:  Zhiqiang Yan; Jin Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-16       Impact factor: 11.205

8.  Computational protein design with explicit consideration of surface hydrophobic patches.

Authors:  Ron Jacak; Andrew Leaver-Fay; Brian Kuhlman
Journal:  Proteins       Date:  2011-12-16

Review 9.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

10.  Fast optimization of statistical potentials for structurally constrained phylogenetic models.

Authors:  Cécile Bonnard; Claudia L Kleinman; Nicolas Rodrigue; Nicolas Lartillot
Journal:  BMC Evol Biol       Date:  2009-09-09       Impact factor: 3.260

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