Ranking beta sheet topologies of proteins

Rasmus Fonseca, Glennie Helles, Pawel Winter

Abstract

One of the main reasons why ab initio protein structure predictors do not perform very well is their inability to reliably identify long-range interactions between amino acids. To achieve reliable long-range interactions, all potential pairings of beta-strands (beta-topologies) of a given protein are enumerated. The beta-topologies are enumerated such that it is certain that the native beta-topology is among the enumerated. [full abstract] Two very different beta-topology scoring methods from the literature are used to rank potential beta-topologies. This has not previously been attempted for any scoring method. The main result of this paper is that in particular one of the scoring methods consistently top-ranks native beta-topologies.

Since the number of potential beta-topologies grows exponentially with the number of beta-strands, it is unrealistic to expect that all potential beta-topologies can be enumerated and scored for large proteins. The second result of this paper is an enumeration scheme of a subset of beta-topologies. It is shown that native-consistent beta-topologies often are among the top-ranked beta-topologies of this subset.

The presence of the native or native-consistent beta-topologies in the subset of enumerated potential beta-topologies relies heavily on the correct identification of strands. The third contribution of this paper is a method to deal with the inaccuracies of secondary structure predictors when enumerating potential beta-topologies.

The results reported in this paper are highly relevant for ab initio protein structure prediction methods based on decoy generation. They indicate that decoy generation can be constrained using top-ranked beta-topologies as they are very likely to contain native or native-consistent beta-topologies.

OriginalsprogEngelsk
TitelProceedings of the World Congress on Engineering and Computer Science 2010
RedaktørerS. I. Ao, Craig Douglas, W. S. Grundfest, Jon Burgstone
Antal sider5
Vol/bind2
ForlagNewswood Limited
Publikationsdato2010
Sider624-628
ISBN (Trykt)978-988-18210-0-3
StatusUdgivet - 2010
BegivenhedWorld Congress on Engineering and Computer Science 2010 (WCECS) - San Francisco, USA
Varighed: 20 okt. 201022 okt. 2010

Konference

KonferenceWorld Congress on Engineering and Computer Science 2010 (WCECS)
Land/OmrådeUSA
BySan Francisco
Periode20/10/201022/10/2010

Emneord

  • Det Natur- og Biovidenskabelige Fakultet
  • protein
  • bioinformatik

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