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Protein Structure Comparison by Alignment of Distance Matrices
Abstract
With a rapidly growing pool of known tertiary structures, the importance of protein structure comparison parallels that of sequence alignment. We have developed a novel algorithm (DALI) for optimal pairwise alignment of protein structures. The three-dimensional co-ordinates of each protein are used to calculate residue-residue (C alpha-C alpha) distance matrices. The distance matrices are first decomposed into elementary contact patterns, e.g. hexapeptide-hexapeptide submatrices. Then, similar contact patterns in the two matrices are paired and combined into larger consistent sets of pairs. A Monte Carlo procedure is used to optimize a similarity score defined in terms of equivalent intramolecular distances. Several alignments are optimized in parallel, leading to simultaneous detection of the best, second-best and so on solutions. The method allows sequence gaps of any length, reversal of chain direction and free topological connectivity of aligned segments. Sequential connectivity can be imposed as an option. The method is fully automatic and identifies structural resemblances and common structural cores accurately and sensitively, even in the presence of geometrical distortions. An all-against-all alignment of over 200 representative protein structures results in an objective classification of known three-dimensional folds in agreement with visual classifications. Unexpected topological similarities of biological interest have been detected, e.g. between the bacterial toxin colicin A and globins, and between the eukaryotic POU-specific DNA-binding domain and the bacterial lambda repressor.
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“The templates were pairwise structurally aligned according to DALILite (41,42), using HIF-2 α as a reference. The sequence alignments were obtained by CLUSTALW (43), and the result was confirmed using the Align-2D command within the MODELLER program (37-39).”
From Structural and Functional Characterization of the Aryl Hydrocarbon Receptor Ligand Binding Domain by Homology Modeling and Mutational Analysis (2007) · cites this paper as [41]
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“A search of the Brookhaven Protein Data Bank (PDB), using the program DALI [17], showed that GmDNV had the greatest similarity to the vertebrate parvoviruses, with a score of 9.”
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“Z-scores determined with different algorithms have no direct relationship but, in the context of a widely used program such as DALI, provide an extremely meaningful measure of structural relationships.”
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“UH binding domains could be found using DALI (Holm and Sander, 1993).”
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“This difficulty has led others to stochastic solutions (Sali & Blundell, 1990; Holm & Sander, 1993), however, a more direct solution can be achieved by calculating the difference between all pairs of vectors in each set and performing a sequence alignment at this low level for each pair of residues…”
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Practical limits of function prediction
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“, 2006), two homodimeric PTSs having the highest DALI scores, (highest structural similarities) toMpGPPS, and the regions corresponding to AC loop 1 showed dramatic ligand binding-induced conformational changes necessary for substrate entry or product release (Holm and Sander, 1993) (see Supplemental Figure 10 online).”
BackgroundRedfern, O., Harrison, A., Dallman, T. J., Pearl, F. M. G., & Orengo, C. A. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030232 · Cited by 106
“CATHEDRAL and DDP (a modified version of the SSAP algorithm [27]) were benchmarked against other publicly available structural comparison methods, STRUCTAL [29], DALI [26], LSQMAN, and CE [30] (see Text S1 for description of methods).”
BackgroundMethodQuigley, P. M., Korotkov, K. V., Baneyx, F., & Hol, W. G. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0530312100 · Cited by 109
Nagata, K., Kudo, N., Abe, K., Arai, S., & Tanokura, M. (2000) · Biochemistry · doi:10.1021/bi0006971 · Cited by 112
Solution structure of the origin DNA-binding domain of SV40 T-antigen
Luo, X., Sanford, D. G., Bullock, P. A., et al. (1996) · Nature Structural Biology · doi:10.1038/nsb1296-1034 · Cited by 110
Iverson, T. M., Arciero, D. M., Hsu, B. T., et al. (1998) · Nature Structural Biology · doi:10.1038/2975 · Cited by 110
“A search of the Brookhaven Protein Data bank using the EMBL Dali serve”
Budowski-Tal, I., Nov, Y., & Kolodny, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914097107 · Cited by 111
“The gold-standard answer includes neighbors found by a best-of-six structural aligner (using SSAP (26), STRUCTAL, DALI (27), LSQMAN (28), CE, and SSM); this expensive computation was done previously (10).”
MethodLloyd, S. A., Whitby, F. G., Blair, D. F., et al. (1999) · Nature · doi:10.1038/22794 · Cited by 109
Metadata
- Authors
- Holm, L., & Sander, C.
- Affiliations
- European Molecular Biology Laboratory (DE)
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 1993-09
- Volume
- 233
- Issue
- 1
- Pages
- 123-138
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2022058405
- Cited by
- 3,984
- References
- 0
- Citations by year
- 2026: 23 · 2025: 31 · 2024: 22 · 2023: 22 · 2022: 28 · 2021: 27 · 2020: 53 · 2019: 50 · 2018: 45 · 2017: 42 · 2016: 53 · 2015: 65 · 2014: 73 · 2013: 106 · 2012: 98
- FWCI
- 15.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Molecular Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- protein structure comparison, Dali, Monte Carlo optimization, structural similarity, protein fold classification, structural core, colicin A, globin, lambda repressor, sequence gaps
- MeSH terms
- Actins, Algorithms, Amino Acid Sequence, Colicins, DNA-Binding Proteins, Globins, Heat-Shock Proteins, Hexokinase, Models, Molecular, Molecular Sequence Data, Monte Carlo Method, Muramidase, Software, Reproducibility of Results, Cluster Analysis, Sequence Alignment, Sequence Homology, Amino Acid, Protein Structure, Secondary, Protein Structure, Tertiary
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