Protein interface conservation across structure space
With the advent of Systems Biology, the prediction of whether two proteins form a complex has become a problem of increased importance. A variety of experimental techniques have been applied to the problem, but three-dimensional structural information has not been widely exploited. Here we explore t...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2010-06, Vol.107 (24), p.10896-10901 |
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creator | Zhang, Qiangfeng Cliff Petrey, Donald Norel, Raquel Honig, Barry H |
description | With the advent of Systems Biology, the prediction of whether two proteins form a complex has become a problem of increased importance. A variety of experimental techniques have been applied to the problem, but three-dimensional structural information has not been widely exploited. Here we explore the range of applicability of such information by analyzing the extent to which the location of binding sites on protein surfaces is conserved among structural neighbors. We find, as expected, that interface conservation is most significant among proteins that have a clear evolutionary relationship, but that there is a significant level of conservation even among remote structural neighbors. This finding is consistent with recent evidence that information available from structural neighbors, independent of classification, should be exploited in the search for functional insights. The value of such structural information is highlighted through the development of a new protein interface prediction method, PredUs, that identifies what residues on protein surfaces are likely to participate in complexes with other proteins. The performance of PredUs, as measured through comparisons with other methods, suggests that relationships across protein structure space can be successfully exploited in the prediction of protein-protein interactions. |
doi_str_mv | 10.1073/pnas.1005894107 |
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A variety of experimental techniques have been applied to the problem, but three-dimensional structural information has not been widely exploited. Here we explore the range of applicability of such information by analyzing the extent to which the location of binding sites on protein surfaces is conserved among structural neighbors. We find, as expected, that interface conservation is most significant among proteins that have a clear evolutionary relationship, but that there is a significant level of conservation even among remote structural neighbors. This finding is consistent with recent evidence that information available from structural neighbors, independent of classification, should be exploited in the search for functional insights. The value of such structural information is highlighted through the development of a new protein interface prediction method, PredUs, that identifies what residues on protein surfaces are likely to participate in complexes with other proteins. The performance of PredUs, as measured through comparisons with other methods, suggests that relationships across protein structure space can be successfully exploited in the prediction of protein-protein interactions.</description><subject>Atoms</subject><subject>Binding Sites</subject><subject>Biochemistry</subject><subject>Biological Sciences</subject><subject>Conserved Sequence</subject><subject>Databases, Protein</subject><subject>Datasets</subject><subject>Environmental conservation</subject><subject>Experiments</subject><subject>Family structure</subject><subject>Models, Molecular</subject><subject>Multiprotein Complexes - chemistry</subject><subject>Pinups</subject><subject>Protein Interaction Domains and Motifs</subject><subject>Protein Interaction Mapping - statistics & numerical data</subject><subject>Proteins</subject><subject>Proteins - chemistry</subject><subject>Proteins - genetics</subject><subject>Sequence Alignment</subject><subject>Similarity theorem</subject><subject>Statistical significance</subject><subject>Structural Homology, Protein</subject><subject>Systematic biology</subject><subject>Systems Biology</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkb1vFDEQxS0EIpdATQWs0lBtMrbHa7uJhCI-IkUKEqS2vF5v2NOdfdjeSPz3-HJHPmioxvL85mnmPULeUDihIPnpJthcXyCUxvrxjCwoaNp2qOE5WQAw2SpkeEAOc14CgBYKXpIDBoIj6m5BxLcUi59CM4Xi02idb1wM2adbW6YYGutSzLnJJc2uzMk3eVOZV-TFaFfZv97XI3L9-dOP86_t5dWXi_OPl60TSpVWa8407YVW2AM4gdzyOj0IqgfpBhz54B23cuy9kwAosXOWsc71A3Z06PkROdvpbuZ-7QfnQ0l2ZTZpWtv020Q7maedMP00N_HWMKVBoq4CH_YCKf6afS5mPWXnVysbfJyzkQIFV1zI_5Occ-wQaCWP_yGXcU6h-mAEIAAFpSp0uoPu_Et-vF-agtlGZ7bRmYfo6sS7x7fe83-zqkCzB7aTD3LSMKxF3SFvd8gyl5geSUjGtdra8X7XH2009iZN2Vx_Z_UmoEp0yBT_A5ajspU</recordid><startdate>20100615</startdate><enddate>20100615</enddate><creator>Zhang, Qiangfeng Cliff</creator><creator>Petrey, Donald</creator><creator>Norel, Raquel</creator><creator>Honig, Barry H</creator><general>National Academy of Sciences</general><general>National Acad Sciences</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>7ST</scope><scope>7U6</scope><scope>5PM</scope></search><sort><creationdate>20100615</creationdate><title>Protein interface conservation across structure space</title><author>Zhang, Qiangfeng Cliff ; Petrey, Donald ; Norel, Raquel ; Honig, Barry H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c588t-993291b5984b00c543a3aced519d7cd4f3dec3a7fbec7004746ca226cbd461db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Atoms</topic><topic>Binding Sites</topic><topic>Biochemistry</topic><topic>Biological Sciences</topic><topic>Conserved Sequence</topic><topic>Databases, Protein</topic><topic>Datasets</topic><topic>Environmental conservation</topic><topic>Experiments</topic><topic>Family structure</topic><topic>Models, Molecular</topic><topic>Multiprotein Complexes - chemistry</topic><topic>Pinups</topic><topic>Protein Interaction Domains and Motifs</topic><topic>Protein Interaction Mapping - statistics & numerical data</topic><topic>Proteins</topic><topic>Proteins - chemistry</topic><topic>Proteins - genetics</topic><topic>Sequence Alignment</topic><topic>Similarity theorem</topic><topic>Statistical significance</topic><topic>Structural Homology, Protein</topic><topic>Systematic biology</topic><topic>Systems Biology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Qiangfeng Cliff</creatorcontrib><creatorcontrib>Petrey, Donald</creatorcontrib><creatorcontrib>Norel, Raquel</creatorcontrib><creatorcontrib>Honig, Barry H</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Qiangfeng Cliff</au><au>Petrey, Donald</au><au>Norel, Raquel</au><au>Honig, Barry H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Protein interface conservation across structure space</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2010-06-15</date><risdate>2010</risdate><volume>107</volume><issue>24</issue><spage>10896</spage><epage>10901</epage><pages>10896-10901</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>With the advent of Systems Biology, the prediction of whether two proteins form a complex has become a problem of increased importance. A variety of experimental techniques have been applied to the problem, but three-dimensional structural information has not been widely exploited. Here we explore the range of applicability of such information by analyzing the extent to which the location of binding sites on protein surfaces is conserved among structural neighbors. We find, as expected, that interface conservation is most significant among proteins that have a clear evolutionary relationship, but that there is a significant level of conservation even among remote structural neighbors. This finding is consistent with recent evidence that information available from structural neighbors, independent of classification, should be exploited in the search for functional insights. The value of such structural information is highlighted through the development of a new protein interface prediction method, PredUs, that identifies what residues on protein surfaces are likely to participate in complexes with other proteins. 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subjects | Atoms Binding Sites Biochemistry Biological Sciences Conserved Sequence Databases, Protein Datasets Environmental conservation Experiments Family structure Models, Molecular Multiprotein Complexes - chemistry Pinups Protein Interaction Domains and Motifs Protein Interaction Mapping - statistics & numerical data Proteins Proteins - chemistry Proteins - genetics Sequence Alignment Similarity theorem Statistical significance Structural Homology, Protein Systematic biology Systems Biology |
title | Protein interface conservation across structure space |
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