author_facet Yuan, Xin
Bystroff, Christopher
Yuan, Xin
Bystroff, Christopher
author Yuan, Xin
Bystroff, Christopher
spellingShingle Yuan, Xin
Bystroff, Christopher
Bioinformatics
Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
author_sort yuan, xin
spelling Yuan, Xin Bystroff, Christopher 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/bti128 <jats:title>Abstract</jats:title><jats:p>Motivation: Proteins of the same class often share a secondary structure packing arrangement but differ in how the secondary structure units are ordered in the sequence. We find that proteins that share a common core also share local sequence–structure similarities, and these can be exploited to align structures with different topologies. In this study, segments from a library of local sequence–structure alignments were assembled hierarchically, enforcing the compactness and conserved inter-residue contacts but not sequential ordering. Previous structure-based alignment methods often ignore sequence similarity, local structural equivalence and compactness.</jats:p><jats:p>Results: The new program, SCALI (Structural Core ALIgnment), can efficiently find conserved packing arrangements, even if they are non-sequentially ordered in space. SCALI alignments conserve remote sequence similarity and contain fewer alignment errors. Clustering of our pairwise non-sequential alignments shows that recurrent packing arrangements exist in topologically different structures. For example, the three-layer sandwich domain architecture may be divided into four structural subclasses based on internal packing arrangements. These subclasses represent an intermediate level of structure classification, more general than topology, but more specific than architecture as defined in CATH. A strategy is presented for developing a set of predictive hidden Markov models based on multiple SCALI alignments.</jats:p><jats:p>Availability: An online topology-independent SCALI structure comparison server is available at http://www.bioinfo.rpi.edu/~bystrc/scali.html</jats:p><jats:p>Contact: bystrc@rpi.edu</jats:p> Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins Bioinformatics
doi_str_mv 10.1093/bioinformatics/bti128
facet_avail Online
Free
finc_class_facet Mathematik
Informatik
Biologie
Chemie und Pharmazie
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA5My9iaW9pbmZvcm1hdGljcy9idGkxMjg
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA5My9iaW9pbmZvcm1hdGljcy9idGkxMjg
institution DE-D275
DE-Bn3
DE-Brt1
DE-Zwi2
DE-D161
DE-Gla1
DE-Zi4
DE-15
DE-Pl11
DE-Rs1
DE-105
DE-14
DE-Ch1
DE-L229
imprint Oxford University Press (OUP), 2005
imprint_str_mv Oxford University Press (OUP), 2005
issn 1367-4811
1367-4803
issn_str_mv 1367-4811
1367-4803
language English
mega_collection Oxford University Press (OUP) (CrossRef)
match_str yuan2005nonsequentialstructurebasedalignmentsrevealtopologyindependentcorepackingarrangementsinproteins
publishDateSort 2005
publisher Oxford University Press (OUP)
recordtype ai
record_format ai
series Bioinformatics
source_id 49
title Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_unstemmed Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_full Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_fullStr Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_full_unstemmed Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_short Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_sort non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
topic Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
url http://dx.doi.org/10.1093/bioinformatics/bti128
publishDate 2005
physical 1010-1019
description <jats:title>Abstract</jats:title><jats:p>Motivation: Proteins of the same class often share a secondary structure packing arrangement but differ in how the secondary structure units are ordered in the sequence. We find that proteins that share a common core also share local sequence–structure similarities, and these can be exploited to align structures with different topologies. In this study, segments from a library of local sequence–structure alignments were assembled hierarchically, enforcing the compactness and conserved inter-residue contacts but not sequential ordering. Previous structure-based alignment methods often ignore sequence similarity, local structural equivalence and compactness.</jats:p><jats:p>Results: The new program, SCALI (Structural Core ALIgnment), can efficiently find conserved packing arrangements, even if they are non-sequentially ordered in space. SCALI alignments conserve remote sequence similarity and contain fewer alignment errors. Clustering of our pairwise non-sequential alignments shows that recurrent packing arrangements exist in topologically different structures. For example, the three-layer sandwich domain architecture may be divided into four structural subclasses based on internal packing arrangements. These subclasses represent an intermediate level of structure classification, more general than topology, but more specific than architecture as defined in CATH. A strategy is presented for developing a set of predictive hidden Markov models based on multiple SCALI alignments.</jats:p><jats:p>Availability: An online topology-independent SCALI structure comparison server is available at http://www.bioinfo.rpi.edu/~bystrc/scali.html</jats:p><jats:p>Contact:  bystrc@rpi.edu</jats:p>
container_issue 7
container_start_page 1010
container_title Bioinformatics
container_volume 21
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792342616944148485
geogr_code not assigned
last_indexed 2024-03-01T16:38:39.375Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Non-sequential+structure-based+alignments+reveal+topology-independent+core+packing+arrangements+in+proteins&rft.date=2005-04-01&genre=article&issn=1367-4803&volume=21&issue=7&spage=1010&epage=1019&pages=1010-1019&jtitle=Bioinformatics&atitle=Non-sequential+structure-based+alignments+reveal+topology-independent+core+packing+arrangements+in+proteins&aulast=Bystroff&aufirst=Christopher&rft_id=info%3Adoi%2F10.1093%2Fbioinformatics%2Fbti128&rft.language%5B0%5D=eng
SOLR
_version_ 1792342616944148485
author Yuan, Xin, Bystroff, Christopher
author_facet Yuan, Xin, Bystroff, Christopher, Yuan, Xin, Bystroff, Christopher
author_sort yuan, xin
container_issue 7
container_start_page 1010
container_title Bioinformatics
container_volume 21
description <jats:title>Abstract</jats:title><jats:p>Motivation: Proteins of the same class often share a secondary structure packing arrangement but differ in how the secondary structure units are ordered in the sequence. We find that proteins that share a common core also share local sequence–structure similarities, and these can be exploited to align structures with different topologies. In this study, segments from a library of local sequence–structure alignments were assembled hierarchically, enforcing the compactness and conserved inter-residue contacts but not sequential ordering. Previous structure-based alignment methods often ignore sequence similarity, local structural equivalence and compactness.</jats:p><jats:p>Results: The new program, SCALI (Structural Core ALIgnment), can efficiently find conserved packing arrangements, even if they are non-sequentially ordered in space. SCALI alignments conserve remote sequence similarity and contain fewer alignment errors. Clustering of our pairwise non-sequential alignments shows that recurrent packing arrangements exist in topologically different structures. For example, the three-layer sandwich domain architecture may be divided into four structural subclasses based on internal packing arrangements. These subclasses represent an intermediate level of structure classification, more general than topology, but more specific than architecture as defined in CATH. A strategy is presented for developing a set of predictive hidden Markov models based on multiple SCALI alignments.</jats:p><jats:p>Availability: An online topology-independent SCALI structure comparison server is available at http://www.bioinfo.rpi.edu/~bystrc/scali.html</jats:p><jats:p>Contact:  bystrc@rpi.edu</jats:p>
doi_str_mv 10.1093/bioinformatics/bti128
facet_avail Online, Free
finc_class_facet Mathematik, Informatik, Biologie, Chemie und Pharmazie
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA5My9iaW9pbmZvcm1hdGljcy9idGkxMjg
imprint Oxford University Press (OUP), 2005
imprint_str_mv Oxford University Press (OUP), 2005
institution DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229
issn 1367-4811, 1367-4803
issn_str_mv 1367-4811, 1367-4803
language English
last_indexed 2024-03-01T16:38:39.375Z
match_str yuan2005nonsequentialstructurebasedalignmentsrevealtopologyindependentcorepackingarrangementsinproteins
mega_collection Oxford University Press (OUP) (CrossRef)
physical 1010-1019
publishDate 2005
publishDateSort 2005
publisher Oxford University Press (OUP)
record_format ai
recordtype ai
series Bioinformatics
source_id 49
spelling Yuan, Xin Bystroff, Christopher 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/bti128 <jats:title>Abstract</jats:title><jats:p>Motivation: Proteins of the same class often share a secondary structure packing arrangement but differ in how the secondary structure units are ordered in the sequence. We find that proteins that share a common core also share local sequence–structure similarities, and these can be exploited to align structures with different topologies. In this study, segments from a library of local sequence–structure alignments were assembled hierarchically, enforcing the compactness and conserved inter-residue contacts but not sequential ordering. Previous structure-based alignment methods often ignore sequence similarity, local structural equivalence and compactness.</jats:p><jats:p>Results: The new program, SCALI (Structural Core ALIgnment), can efficiently find conserved packing arrangements, even if they are non-sequentially ordered in space. SCALI alignments conserve remote sequence similarity and contain fewer alignment errors. Clustering of our pairwise non-sequential alignments shows that recurrent packing arrangements exist in topologically different structures. For example, the three-layer sandwich domain architecture may be divided into four structural subclasses based on internal packing arrangements. These subclasses represent an intermediate level of structure classification, more general than topology, but more specific than architecture as defined in CATH. A strategy is presented for developing a set of predictive hidden Markov models based on multiple SCALI alignments.</jats:p><jats:p>Availability: An online topology-independent SCALI structure comparison server is available at http://www.bioinfo.rpi.edu/~bystrc/scali.html</jats:p><jats:p>Contact: bystrc@rpi.edu</jats:p> Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins Bioinformatics
spellingShingle Yuan, Xin, Bystroff, Christopher, Bioinformatics, Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins, Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability
title Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_full Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_fullStr Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_full_unstemmed Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_short Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_sort non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
title_unstemmed Non-sequential structure-based alignments reveal topology-independent core packing arrangements in proteins
topic Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability
url http://dx.doi.org/10.1093/bioinformatics/bti128