Literature DB >> 15961490

How old is your fold?

Henry F Winstanley1, Sanne Abeln, Charlotte M Deane.   

Abstract

MOTIVATION: At present there exists no age estimate for the different protein structures found in nature. It has become clear from occurrence studies that different folds arose at different points in evolutionary time. An estimation of the age of different folds would be a starting point for many investigations into protein structure evolution: how we arrived at the set of folds we see today. It would also be a powerful tool in protein structure classification allowing us to reassess the available hierarchical methods and perhaps suggest improvements.
RESULTS: We have created the first relative age estimation technique for protein folds. Our method is based on constructing parsimonious scenarios, which can describe occurrence patterns in a phylogeny of species. The ages presented are shown to be robust to the different trees or data types used for their generation. They show correlations with other previously used protein age estimators, but appear to be far more discriminating than any previously suggested technique. The age estimates given are not absolutes but they already offer intriguing insights, like the very different age patterns of alpha/beta folds compared with small folds. The alpha/beta folds appear on average to be far older than their small fold counterparts. AVAILABILITY: Example trees and additional material are available at http://www.stats.ox.ac.uk/~abeln/foldage SUPPLEMENTARY INFORMATION: http://www.stats.ox.ac.uk/~abeln/foldage.

Mesh:

Substances:

Year:  2005        PMID: 15961490     DOI: 10.1093/bioinformatics/bti1008

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  24 in total

1.  Intra-chain 3D segment swapping spawns the evolution of new multidomain protein architectures.

Authors:  András Szilágyi; Yang Zhang; Péter Závodszky
Journal:  J Mol Biol       Date:  2011-11-04       Impact factor: 5.469

2.  Nonlinearities in protein space limit the utility of informatics in protein biophysics.

Authors:  S Rackovsky
Journal:  Proteins       Date:  2015-09-10

3.  Evolution of protein structural classes and protein sequence families.

Authors:  In-Geol Choi; Sung-Hou Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-07       Impact factor: 11.205

4.  Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments.

Authors:  Lei Xie; Philip E Bourne
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-02       Impact factor: 11.205

5.  Maps of protein structure space reveal a fundamental relationship between protein structure and function.

Authors:  Margarita Osadchy; Rachel Kolodny
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-07       Impact factor: 11.205

6.  How Many Protein Sequences Fold to a Given Structure? A Coevolutionary Analysis.

Authors:  Pengfei Tian; Robert B Best
Journal:  Biophys J       Date:  2017-10-17       Impact factor: 4.033

7.  Short and simple sequences favored the emergence of N-helix phospho-ligand binding sites in the first enzymes.

Authors:  Liam M Longo; Dušan Petrović; Shina Caroline Lynn Kamerlin; Dan S Tawfik
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-20       Impact factor: 11.205

8.  Directionality in protein fold prediction.

Authors:  Jonathan J Ellis; Fabien P E Huard; Charlotte M Deane; Sheenal Srivastava; Graham R Wood
Journal:  BMC Bioinformatics       Date:  2010-04-07       Impact factor: 3.169

9.  Development of a motif-based topology-independent structure comparison method to identify evolutionarily related folds.

Authors:  Joseph M Dybas; Andras Fiser
Journal:  Proteins       Date:  2016-10-11

Review 10.  How old is my gene?

Authors:  John A Capra; Maureen Stolzer; Dannie Durand; Katherine S Pollard
Journal:  Trends Genet       Date:  2013-08-01       Impact factor: 11.639

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