Literature DB >> 11381527

The designability of protein structures.

R Helling1, H Li, R Mélin, J Miller, N Wingreen, C Zeng, C Tang.   

Abstract

It has been noted that natural proteins adapt only a limited number of folds. Several researchers have investigated why and how nature has selected this small number of folds. Using simple models of protein folding, we demonstrate systematically that there is a "designability principle" behind nature's selection of protein folds. The designability of a structure (fold) is measured by the number of sequences that can design the structure--that is, sequences that possess the structure as their unique ground state. Structures differ drastically in terms of their designability. A small number of highly designable structures emerge with a number of associated sequences much larger than the average. These highly designable structures possess proteinlike secondary structures, motifs, and even tertiary symmetries. In addition, they are thermodynamically more stable and fold faster than other structures. These results suggest that protein structures are selected in nature because they are readily designed and stable against mutations, and that such a selection simultaneously leads to thermodynamic stability.

Mesh:

Substances:

Year:  2001        PMID: 11381527     DOI: 10.1016/s1093-3263(00)00137-6

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  21 in total

1.  Construction and characterization of protein libraries composed of secondary structure modules.

Authors:  Tomoaki Matsuura; Andreas Ernst; Andreas Plückthun
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

2.  Thoroughly sampling sequence space: large-scale protein design of structural ensembles.

Authors:  Stefan M Larson; Jeremy L England; John R Desjarlais; Vijay S Pande
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

3.  Strategies for selection from protein libraries composed of de novo designed secondary structure modules.

Authors:  Tomoaki Matsuura; Andreas Plückthun
Journal:  Orig Life Evol Biosph       Date:  2004-02       Impact factor: 1.950

4.  An information theoretic approach to macromolecular modeling: I. Sequence alignments.

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

5.  Computationally mapping sequence space to understand evolutionary protein engineering.

Authors:  Kathryn A Armstrong; Bruce Tidor
Journal:  Biotechnol Prog       Date:  2007-11-17

6.  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

7.  Artificial Diiron Enzymes with a De Novo Designed Four-Helix Bundle Structure.

Authors:  Marco Chino; Ornella Maglio; Flavia Nastri; Vincenzo Pavone; William F DeGrado; Angela Lombardi
Journal:  Eur J Inorg Chem       Date:  2015-07-06       Impact factor: 2.524

8.  Exploration of the relationship between topology and designability of conformations.

Authors:  Sumudu P Leelananda; Fadi Towfic; Robert L Jernigan; Andrzej Kloczkowski
Journal:  J Chem Phys       Date:  2011-06-21       Impact factor: 3.488

9.  Mining tertiary structural motifs for assessment of designability.

Authors:  Jian Zhang; Gevorg Grigoryan
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

10.  Fast, cheap and out of control--Insights into thermodynamic and informatic constraints on natural protein sequences from de novo protein design.

Authors:  Joseph M Brisendine; Ronald L Koder
Journal:  Biochim Biophys Acta       Date:  2015-10-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.