Abstract

BackgroundProteins have evolved subject to energetic selection pressure for stability and flexibility. Structural similarity between proteins that have gone through conformational changes can be captured effectively if flexibility is considered. Topologically unrelated proteins that preserve secondary structure packing interactions can be detected if both flexibility and Sequential permutations are considered. We propose the FlexSnap algorithm for flexible non-topological protein structural alignment.ResultsThe effectiveness of FlexSnap is demonstrated by measuring the agreement of its alignments with manually curated non-sequential structural alignments. FlexSnap showed competitive results against state-of-the-art algorithms, like DALI, SARF2, MultiProt, FlexProt, and FATCAT. Moreover on the DynDom dataset, FlexSnap reported longer alignments with smaller rmsd.ConclusionsWe have introduced FlexSnap, a greedy chaining algorithm that reports both sequential and non-sequential alignments and allows twists (hinges). We assessed the quality of the FlexSnap alignments by measuring its agreements with manually curated non-sequential alignments. On the FlexProt dataset, FlexSnap was competitive to state-of-the-art flexible alignment methods. Moreover, we demonstrated the benefits of introducing hinges by showing significant improvements in the alignments reported by FlexSnap for the structure pairs for which rigid alignment methods reported alignments with either low coverage or large rmsd.AvailabilityAn implementation of the FlexSnap algorithm will be made available online at http://www.cs.rpi.edu/~zaki/software/flexsnap.

Highlights

  • Proteins have evolved subject to energetic selection pressure for stability and flexibility

  • To address the limitations of exisiting algorithms we propose FlexSnap, a greedy algorithm for flexible sequential and non-sequential protein structural alignment

  • To assess the quality of FlexSnap alignment compared to other structural alignment methods, we evaluated the agreement of the methods' alignments with reference manuallycurated alignments

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Summary

Introduction

Proteins have evolved subject to energetic selection pressure for stability and flexibility. Structural similarity between proteins that have gone through conformational changes can be captured effectively if flexibility is considered. We propose the FlexSnap algorithm for flexible nontopological protein structural alignment. Homologous proteins have evolved to adopt conformational changes in their structure. Similarity between two proteins which have similar structures with one of them having undergone a conformational change will not be captured unless flexibility is considered. The problem of flexible protein structural alignment has not received much attention. Even though there are a plethora of methods for protein structure comparison [2,3,4,5,6,7,8], the majority of the existing methods report only sequential alignments and cannot capture non-sequential alignments. Over the years, a number of heuristic approaches have been proposed, which can mainly be classified into two main categories: dynamic programming and clustering

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