Abstract

BackgroundThe comparative modeling approach to protein structure prediction inherently relies on a template structure. Before building a model such a template protein has to be found and aligned with the query sequence. Any error made on this stage may dramatically affects the quality of result. There is a need, therefore, to develop accurate and sensitive alignment protocols.ResultsBioShell threading software is a versatile tool for aligning protein structures, protein sequences or sequence profiles and query sequences to a template structures. The software is also capable of sub-optimal alignment generation. It can be executed as an application from the UNIX command line, or as a set of Java classes called from a script or a Java application. The implemented Monte Carlo search engine greatly facilitates the development and benchmarking of new alignment scoring schemes even when the functions exhibit non-deterministic polynomial-time complexity.ConclusionsNumerical experiments indicate that the new threading application offers template detection abilities and provides much better alignments than other methods. The package along with documentation and examples is available at: http://bioshell.pl/threading3d.

Highlights

  • The comparative modeling approach to protein structure prediction inherently relies on a template structure

  • As an example, we show energy distributions obtained by a Replica Exchange Monte Carlo (REMC) search comprising ten replicas running at 10 distinct temperatures: 0.08, 0.1, 0.15, 0.2, 0.5, 1.0, 2.0, 5.0, 7.0, 10.0

  • These multiple sequence alignments (MSA) were used in aligning query and template sequences with hhalign, in the global alignment mode

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Summary

Results

BioShell threading software is a versatile tool for aligning protein structures, protein sequences or sequence profiles and query sequences to a template structures. The software is capable of sub-optimal alignment generation. It can be executed as an application from the UNIX command line, or as a set of Java classes called from a script or a Java application. The implemented Monte Carlo search engine greatly facilitates the development and benchmarking of new alignment scoring schemes even when the functions exhibit non-deterministic polynomial-time complexity

Background
Results and discussion
Conclusions
Lathrop RH
10. Soding J
42. Farrar M
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