Abstract

Normal 0 21 false false false EN-US X-NONE X-NONE Background: Protein structural alignment is one of the most fundamental and crucial areas of research in the domain of computational structural biology. Comparison of a protein structure with known structures helps to classify it as a new or belonging to a known group of proteins. This, in turn, is useful to determine the function of protein, its evolutionary relationship with other protein molecules and grasping principles underlying protein architecture and folding. Results: A large number of protein structure alignment methods are available. Each protein structure alignment tool has its own strengths and weaknesses that need to be highlighted. We compared and presented results of six most popular and publically available servers for protein structure comparison. These web-based servers were compared with the respect to functionality (features provided by these servers) and accuracy (how well the structural comparison is performed). The CATH was used as a reference. The results showed that overall CE was top performer. DALI and PhyreStorm showed similar results whereas PDbeFold showed the lowest performance. In case of few secondary structural elements, CE , DALI and PhyreStorm gave 100% success rate. Conclusion: Overall none of the structural alignment servers showed 100% success rate. Studies of overall performance, effect of mainly alpha and effect of mainly beta showed consistent performance. CE, DALI, FatCat and PhyreStorm showed more than 90% success rate. /* Style Definitions */ table.MsoNormalTable {mso-style-name:Tabla normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:Calibri,sans-serif; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}

Highlights

  • Protein structural alignment is one of the most fundamental and crucial areas of research in the domain of computational structural biology [1,2]

  • According to the overall performance investigation, the structural alignment servers (SASs) can be divided into three classes: CE, DALI, FatCat and PhyreStorm showed more than 90% success rate, VAST gave more than 80% and PDBeFold showed less than 80% success rate

  • The study was aimed at the evaluation of functionality and performance of six most often used protein structure alignment servers

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Summary

Introduction

Protein structural alignment is one of the most fundamental and crucial areas of research in the domain of computational structural biology [1,2]. Structural alignment is conducted among the known protein structures It is based on the Euclidean distance between the residues being compared. The approaches of structural alignment are helpful in organizing and classifying known structures [7,8] and provide gold standard for sequence alignment [9,10]. Results: A large number of protein structure alignment methods are available. We compared and presented results of six most popular and publically available servers for protein structure comparison. These web-based servers were compared with the respect to functionality (features provided by these servers) and accuracy (how well the structural comparison is performed). Conclusion: Overall none of the structural alignment servers showed 100% success rate. CE, DALI, FatCat and PhyreStorm showed more than 90% success rate

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