ArticleBioinformatics (Oxford, England)2018
mTM-align: an algorithm for fast and accurate multiple protein structure alignment.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
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Who cites it
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- SOLeNNoID: a deep learning pipeline for solenoid residue detection in protein structures.Bioinformatics (Oxford, England) · 2025Article
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5 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Motivation: As protein structure is more conserved than sequence during evolution, multiple structure alignment can be more informative than multiple sequence alignment, especially for distantly related proteins. With the rapid increase of the number of protein structures in the Protein Data Bank, it becomes urgent to develop efficient algorithms for multiple structure alignment. Results: A new multiple structure alignment algorithm (mTM-align) was proposed, which is an extension of the highly efficient pairwise structure alignment program TM-align. The algorithm was benchmarked on four widely used datasets, HOMSTRAD, SABmark_sup, SABmark_twi and SISY-multiple, showing that mTM-align consistently outperforms other algorithms. In addition, the comparison with the manually curated alignments in the HOMSTRAD database shows that the automated alignments built by mTM-align are in general more accurate. Therefore, mTM-align may be used as a reliable complement to construct multiple structure alignments for real-world applications. Availability and implementation: http://yanglab.nankai.edu.cn/mTM-align. Contact: zhng@umich.edu or yangjy@nankai.edu.cn. Supplementary information: Supplementary data are available at Bioinformatics online.
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