计算机科学
灵活性(工程)
水准点(测量)
度量(数据仓库)
数据挖掘
高斯分布
质量得分
质量(理念)
人工智能
机器学习
算法
数学
统计
哲学
地理
公制(单位)
经济
物理
认识论
量子力学
运营管理
大地测量学
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2016-05-13
卷期号:32 (17): 2650-2658
被引量:11
标识
DOI:10.1093/bioinformatics/btw300
摘要
Calculating multiple protein structure alignments (MSAs) is important for understanding functional and evolutionary relationships between protein families, and for modeling protein structures by homology. While incorporating backbone flexibility promises to circumvent many of the limitations of rigid MSA algorithms, very few flexible MSA algorithms exist today. This article describes several novel improvements to the Kpax algorithm which allow high quality flexible MSAs to be calculated. This article also introduces a new Gaussian-based MSA quality measure called 'M-score', which circumvents the pitfalls of RMSD-based quality measures.As well as calculating flexible MSAs, the new version of Kpax can also score MSAs from other aligners and from previously aligned reference datasets. Results are presented for a large-scale evaluation of the Homstrad, SABmark and SISY benchmark sets using Kpax and Matt as examples of state-of-the-art flexible aligners and 3DCOMB as an example of a state-of-the-art rigid aligner. These results demonstrate the utility of the M-score as a measure of MSA quality and show that high quality MSAs may be achieved when structural flexibility is properly taken into account.Kpax 5.0 may be downloaded for academic use at http://kpax.loria.fr/dave.ritchie@inria.frSupplementary data are available at Bioinformatics online.
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