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DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions
Proteins that bind to specific locations in genomic DNA control many basic cellular functions. Proteins detect their binding sites using both direct and indirect recognition mechanisms. Deformation energy, which models the energy required to bend DNA from its native shape to its shape when bound to...
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Published in: | IEEE/ACM transactions on computational biology and bioinformatics 2007-01, Vol.4 (1), p.117-125 |
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description | Proteins that bind to specific locations in genomic DNA control many basic cellular functions. Proteins detect their binding sites using both direct and indirect recognition mechanisms. Deformation energy, which models the energy required to bend DNA from its native shape to its shape when bound to a protein, has been shown to be an indirect recognition mechanism for one particular protein, integration host factor (IHF). This work extends the analysis of deformation to two other DNA-binding proteins, CRP and SRF, and two endonucleases, I-Crel and I-Ppol. Known binding sites for all five proteins showed statistically significant differences in mean deformation energy as compared to random sequences. Binding sites for the three DNA-binding proteins and one of the endonucleases had mean deformation energies lower than random sequences. Binding sites for I-Ppol had mean deformation energy higher than random sequences. Classifiers that were trained using the deformation energy at each base pair step showed good cross-validated accuracy when classifying unseen sequences as binders or nonbinders. These results support DNA deformation energy as an indirect recognition mechanism across a wider range of DNA-binding proteins. Deformation energy may also have a predictive capacity for the underlying catalytic mechanism of DNA-binding enzymes |
doi_str_mv | 10.1109/TCBB.2007.1000 |
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Proteins detect their binding sites using both direct and indirect recognition mechanisms. Deformation energy, which models the energy required to bend DNA from its native shape to its shape when bound to a protein, has been shown to be an indirect recognition mechanism for one particular protein, integration host factor (IHF). This work extends the analysis of deformation to two other DNA-binding proteins, CRP and SRF, and two endonucleases, I-Crel and I-Ppol. Known binding sites for all five proteins showed statistically significant differences in mean deformation energy as compared to random sequences. Binding sites for the three DNA-binding proteins and one of the endonucleases had mean deformation energies lower than random sequences. Binding sites for I-Ppol had mean deformation energy higher than random sequences. Classifiers that were trained using the deformation energy at each base pair step showed good cross-validated accuracy when classifying unseen sequences as binders or nonbinders. These results support DNA deformation energy as an indirect recognition mechanism across a wider range of DNA-binding proteins. Deformation energy may also have a predictive capacity for the underlying catalytic mechanism of DNA-binding enzymes</description><identifier>ISSN: 1545-5963</identifier><identifier>EISSN: 1557-9964</identifier><identifier>DOI: 10.1109/TCBB.2007.1000</identifier><identifier>PMID: 17277419</identifier><identifier>CODEN: ITCBCY</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithms ; Animals ; Base Sequence ; Binding Sites ; Biochemistry ; Bioinformatics ; Cellular ; Character recognition ; Cyclic AMP Receptor Protein - chemistry ; Cyclic AMP Receptor Protein - metabolism ; Deformable models ; Deformation ; deformation energy ; Deoxyribonucleic acid ; DNA ; DNA - chemistry ; DNA - genetics ; DNA - metabolism ; DNA bending ; DNA Restriction Enzymes - chemistry ; DNA Restriction Enzymes - metabolism ; DNA, Algal - chemistry ; DNA, Algal - genetics ; DNA, Algal - metabolism ; DNA, Bacterial - chemistry ; DNA, Bacterial - genetics ; DNA, Bacterial - metabolism ; DNA, Protozoan - chemistry ; DNA, Protozoan - genetics ; DNA, Protozoan - metabolism ; DNA-Binding Proteins - chemistry ; DNA-Binding Proteins - metabolism ; DNA-protein binding ; Endodeoxyribonucleases - chemistry ; Endodeoxyribonucleases - metabolism ; Enzymes ; Gene expression ; Genomics ; Humans ; indirect readout ; indirect recognition ; Integration Host Factors - chemistry ; Integration Host Factors - metabolism ; Mathematical models ; Models, Chemical ; Models, Molecular ; perceptron learning ; Protein Binding ; Proteins ; Random sequences ; Recognition ; Serum Response Factor - chemistry ; Serum Response Factor - metabolism ; Shape ; Thermodynamics</subject><ispartof>IEEE/ACM transactions on computational biology and bioinformatics, 2007-01, Vol.4 (1), p.117-125</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-8778028f63d68cb187acbc0624ba7ec0263084682209e0c1cec6c3b5fbdbe7763</citedby><cites>FETCH-LOGICAL-c468t-8778028f63d68cb187acbc0624ba7ec0263084682209e0c1cec6c3b5fbdbe7763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4104465$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17277419$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aeling, K.A.</creatorcontrib><creatorcontrib>Steffen, N.R.</creatorcontrib><creatorcontrib>Johnson, M.</creatorcontrib><creatorcontrib>Hatfield, G.W.</creatorcontrib><creatorcontrib>Lathrop, R.H.</creatorcontrib><creatorcontrib>Senear, D.F.</creatorcontrib><title>DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions</title><title>IEEE/ACM transactions on computational biology and bioinformatics</title><addtitle>TCBB</addtitle><addtitle>IEEE/ACM Trans Comput Biol Bioinform</addtitle><description>Proteins that bind to specific locations in genomic DNA control many basic cellular functions. Proteins detect their binding sites using both direct and indirect recognition mechanisms. Deformation energy, which models the energy required to bend DNA from its native shape to its shape when bound to a protein, has been shown to be an indirect recognition mechanism for one particular protein, integration host factor (IHF). This work extends the analysis of deformation to two other DNA-binding proteins, CRP and SRF, and two endonucleases, I-Crel and I-Ppol. Known binding sites for all five proteins showed statistically significant differences in mean deformation energy as compared to random sequences. Binding sites for the three DNA-binding proteins and one of the endonucleases had mean deformation energies lower than random sequences. Binding sites for I-Ppol had mean deformation energy higher than random sequences. Classifiers that were trained using the deformation energy at each base pair step showed good cross-validated accuracy when classifying unseen sequences as binders or nonbinders. These results support DNA deformation energy as an indirect recognition mechanism across a wider range of DNA-binding proteins. Deformation energy may also have a predictive capacity for the underlying catalytic mechanism of DNA-binding enzymes</description><subject>Algorithms</subject><subject>Animals</subject><subject>Base Sequence</subject><subject>Binding Sites</subject><subject>Biochemistry</subject><subject>Bioinformatics</subject><subject>Cellular</subject><subject>Character recognition</subject><subject>Cyclic AMP Receptor Protein - chemistry</subject><subject>Cyclic AMP Receptor Protein - metabolism</subject><subject>Deformable models</subject><subject>Deformation</subject><subject>deformation energy</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA - chemistry</subject><subject>DNA - genetics</subject><subject>DNA - metabolism</subject><subject>DNA bending</subject><subject>DNA Restriction Enzymes - chemistry</subject><subject>DNA Restriction Enzymes - metabolism</subject><subject>DNA, Algal - chemistry</subject><subject>DNA, Algal - genetics</subject><subject>DNA, Algal - metabolism</subject><subject>DNA, Bacterial - chemistry</subject><subject>DNA, Bacterial - genetics</subject><subject>DNA, Bacterial - metabolism</subject><subject>DNA, Protozoan - chemistry</subject><subject>DNA, Protozoan - genetics</subject><subject>DNA, Protozoan - metabolism</subject><subject>DNA-Binding Proteins - chemistry</subject><subject>DNA-Binding Proteins - metabolism</subject><subject>DNA-protein binding</subject><subject>Endodeoxyribonucleases - chemistry</subject><subject>Endodeoxyribonucleases - metabolism</subject><subject>Enzymes</subject><subject>Gene expression</subject><subject>Genomics</subject><subject>Humans</subject><subject>indirect readout</subject><subject>indirect recognition</subject><subject>Integration Host Factors - chemistry</subject><subject>Integration Host Factors - metabolism</subject><subject>Mathematical models</subject><subject>Models, Chemical</subject><subject>Models, Molecular</subject><subject>perceptron learning</subject><subject>Protein Binding</subject><subject>Proteins</subject><subject>Random sequences</subject><subject>Recognition</subject><subject>Serum Response Factor - chemistry</subject><subject>Serum Response Factor - metabolism</subject><subject>Shape</subject><subject>Thermodynamics</subject><issn>1545-5963</issn><issn>1557-9964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqF0s9LHDEUB_BQLGrVay8FGXoovcz25Xdy1FXbBVtLsfQ4ZLJvbGQnY5PZg_-9k-7Sggf3lEA--cJ7fAl5S2FGKdhPt_Pz8xkD0DMKAK_IIZVS19YqsVfuQtbSKn5A3uR8D8CEBbFPDqhmWgtqD8mvi29n1QV2Q-rdGIZYXUZMd4-Vy5WL1SIuQ0I_Vj_QD3cx_BVf0f92MeS-CrH6noYRQ6xLzCKOmJwvKB-T151bZTzZnkfk59Xl7fxLfX3zeTE_u669UGasjdYGmOkUXyrjW2q0860HxUTrNHpgioOZJGNgETz16JXnrezaZYtaK35EPmxyH9LwZ415bPqQPa5WLuKwzo0yVnMmd0MOVnDK2U7IQIIUAib48UVIlaZcK6rEbgpsGtNwU1LfP6P3wzrFaYeNUcJaakwZZrZBPg05J-yahxR6lx6npKb0oim9aEovmtKL6cPpNnXd9rj8z7dFmMC7DQiI-O9ZUBBCSf4EMgm4cQ</recordid><startdate>20070101</startdate><enddate>20070101</enddate><creator>Aeling, K.A.</creator><creator>Steffen, N.R.</creator><creator>Johnson, M.</creator><creator>Hatfield, G.W.</creator><creator>Lathrop, R.H.</creator><creator>Senear, D.F.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7TM</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20070101</creationdate><title>DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions</title><author>Aeling, K.A. ; Steffen, N.R. ; Johnson, M. ; Hatfield, G.W. ; Lathrop, R.H. ; Senear, D.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-8778028f63d68cb187acbc0624ba7ec0263084682209e0c1cec6c3b5fbdbe7763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Base Sequence</topic><topic>Binding Sites</topic><topic>Biochemistry</topic><topic>Bioinformatics</topic><topic>Cellular</topic><topic>Character recognition</topic><topic>Cyclic AMP Receptor Protein - chemistry</topic><topic>Cyclic AMP Receptor Protein - metabolism</topic><topic>Deformable models</topic><topic>Deformation</topic><topic>deformation energy</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA - chemistry</topic><topic>DNA - genetics</topic><topic>DNA - metabolism</topic><topic>DNA bending</topic><topic>DNA Restriction Enzymes - chemistry</topic><topic>DNA Restriction Enzymes - metabolism</topic><topic>DNA, Algal - chemistry</topic><topic>DNA, Algal - genetics</topic><topic>DNA, Algal - metabolism</topic><topic>DNA, Bacterial - chemistry</topic><topic>DNA, Bacterial - genetics</topic><topic>DNA, Bacterial - metabolism</topic><topic>DNA, Protozoan - chemistry</topic><topic>DNA, Protozoan - genetics</topic><topic>DNA, Protozoan - metabolism</topic><topic>DNA-Binding Proteins - chemistry</topic><topic>DNA-Binding Proteins - metabolism</topic><topic>DNA-protein binding</topic><topic>Endodeoxyribonucleases - chemistry</topic><topic>Endodeoxyribonucleases - metabolism</topic><topic>Enzymes</topic><topic>Gene expression</topic><topic>Genomics</topic><topic>Humans</topic><topic>indirect readout</topic><topic>indirect recognition</topic><topic>Integration Host Factors - chemistry</topic><topic>Integration Host Factors - metabolism</topic><topic>Mathematical models</topic><topic>Models, Chemical</topic><topic>Models, Molecular</topic><topic>perceptron learning</topic><topic>Protein Binding</topic><topic>Proteins</topic><topic>Random sequences</topic><topic>Recognition</topic><topic>Serum Response Factor - chemistry</topic><topic>Serum Response Factor - metabolism</topic><topic>Shape</topic><topic>Thermodynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aeling, K.A.</creatorcontrib><creatorcontrib>Steffen, N.R.</creatorcontrib><creatorcontrib>Johnson, M.</creatorcontrib><creatorcontrib>Hatfield, G.W.</creatorcontrib><creatorcontrib>Lathrop, R.H.</creatorcontrib><creatorcontrib>Senear, D.F.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) Online</collection><collection>IEEE Xplore (Online service)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE/ACM transactions on computational biology and bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aeling, K.A.</au><au>Steffen, N.R.</au><au>Johnson, M.</au><au>Hatfield, G.W.</au><au>Lathrop, R.H.</au><au>Senear, D.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions</atitle><jtitle>IEEE/ACM transactions on computational biology and bioinformatics</jtitle><stitle>TCBB</stitle><addtitle>IEEE/ACM Trans Comput Biol Bioinform</addtitle><date>2007-01-01</date><risdate>2007</risdate><volume>4</volume><issue>1</issue><spage>117</spage><epage>125</epage><pages>117-125</pages><issn>1545-5963</issn><eissn>1557-9964</eissn><coden>ITCBCY</coden><abstract>Proteins that bind to specific locations in genomic DNA control many basic cellular functions. Proteins detect their binding sites using both direct and indirect recognition mechanisms. Deformation energy, which models the energy required to bend DNA from its native shape to its shape when bound to a protein, has been shown to be an indirect recognition mechanism for one particular protein, integration host factor (IHF). This work extends the analysis of deformation to two other DNA-binding proteins, CRP and SRF, and two endonucleases, I-Crel and I-Ppol. Known binding sites for all five proteins showed statistically significant differences in mean deformation energy as compared to random sequences. Binding sites for the three DNA-binding proteins and one of the endonucleases had mean deformation energies lower than random sequences. Binding sites for I-Ppol had mean deformation energy higher than random sequences. Classifiers that were trained using the deformation energy at each base pair step showed good cross-validated accuracy when classifying unseen sequences as binders or nonbinders. These results support DNA deformation energy as an indirect recognition mechanism across a wider range of DNA-binding proteins. Deformation energy may also have a predictive capacity for the underlying catalytic mechanism of DNA-binding enzymes</abstract><cop>United States</cop><pub>IEEE</pub><pmid>17277419</pmid><doi>10.1109/TCBB.2007.1000</doi><tpages>9</tpages></addata></record> |
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subjects | Algorithms Animals Base Sequence Binding Sites Biochemistry Bioinformatics Cellular Character recognition Cyclic AMP Receptor Protein - chemistry Cyclic AMP Receptor Protein - metabolism Deformable models Deformation deformation energy Deoxyribonucleic acid DNA DNA - chemistry DNA - genetics DNA - metabolism DNA bending DNA Restriction Enzymes - chemistry DNA Restriction Enzymes - metabolism DNA, Algal - chemistry DNA, Algal - genetics DNA, Algal - metabolism DNA, Bacterial - chemistry DNA, Bacterial - genetics DNA, Bacterial - metabolism DNA, Protozoan - chemistry DNA, Protozoan - genetics DNA, Protozoan - metabolism DNA-Binding Proteins - chemistry DNA-Binding Proteins - metabolism DNA-protein binding Endodeoxyribonucleases - chemistry Endodeoxyribonucleases - metabolism Enzymes Gene expression Genomics Humans indirect readout indirect recognition Integration Host Factors - chemistry Integration Host Factors - metabolism Mathematical models Models, Chemical Models, Molecular perceptron learning Protein Binding Proteins Random sequences Recognition Serum Response Factor - chemistry Serum Response Factor - metabolism Shape Thermodynamics |
title | DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions |
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