Optimization of Electrostatic Interactions in Protein-Protein Complexes
In this article, we present a statistical analysis of the electrostatic properties of 298 protein-protein complexes and 356 domain-domain structures extracted from the previously developed database of protein complexes ( ProtCom, http://www.ces.clemson.edu/compbio/protcom). For each structure in the...
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Veröffentlicht in: | Biophysical journal 2007-11, Vol.93 (10), p.3340-3352 |
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description | In this article, we present a statistical analysis of the electrostatic properties of 298 protein-protein complexes and 356 domain-domain structures extracted from the previously developed database of protein complexes (
ProtCom,
http://www.ces.clemson.edu/compbio/protcom). For each structure in the dataset we calculated the total electrostatic energy of the binding and its two components, Coulombic and reaction field energy. It was found that in a vast majority of the cases (>90%), the total electrostatic component of the binding energy was unfavorable. At the same time, the Coulombic component of the binding energy was found to favor the complex formation while the reaction field component of the binding energy opposed the binding. It was also demonstrated that the components in a wild-type (WT) structure are optimized/anti-optimized with respect to the corresponding distributions, arising from random shuffling of the charged side chains. The degree of this optimization was assessed through the Z-score of WT energy in respect to the random distribution. It was found that the Z-scores of Coulombic interactions peak at a considerably negative value for all 654 cases considered while the Z-score of the reaction field energy varied among different types of complexes. All these findings indicate that the Coulombic interactions within WT protein-protein complexes are optimized to favor the complex formation while the total electrostatic energy predominantly opposes the binding. This observation was used to discriminate WT structures among sets of structural decoys and showed that the electrostatic component of the binding energy is not a good discriminator of the WT; while, Coulombic or reaction field energies perform better depending upon the decoy set used. |
doi_str_mv | 10.1529/biophysj.107.112367 |
format | Article |
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ProtCom,
http://www.ces.clemson.edu/compbio/protcom). For each structure in the dataset we calculated the total electrostatic energy of the binding and its two components, Coulombic and reaction field energy. It was found that in a vast majority of the cases (>90%), the total electrostatic component of the binding energy was unfavorable. At the same time, the Coulombic component of the binding energy was found to favor the complex formation while the reaction field component of the binding energy opposed the binding. It was also demonstrated that the components in a wild-type (WT) structure are optimized/anti-optimized with respect to the corresponding distributions, arising from random shuffling of the charged side chains. The degree of this optimization was assessed through the Z-score of WT energy in respect to the random distribution. It was found that the Z-scores of Coulombic interactions peak at a considerably negative value for all 654 cases considered while the Z-score of the reaction field energy varied among different types of complexes. All these findings indicate that the Coulombic interactions within WT protein-protein complexes are optimized to favor the complex formation while the total electrostatic energy predominantly opposes the binding. This observation was used to discriminate WT structures among sets of structural decoys and showed that the electrostatic component of the binding energy is not a good discriminator of the WT; while, Coulombic or reaction field energies perform better depending upon the decoy set used.</description><identifier>ISSN: 0006-3495</identifier><identifier>EISSN: 1542-0086</identifier><identifier>DOI: 10.1529/biophysj.107.112367</identifier><identifier>PMID: 17693468</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Binding energy ; Binding Sites ; Biophysical Theory and Modeling ; Biophysics ; Biophysics - methods ; Carrier Proteins - chemistry ; Complex formation ; Computer Simulation ; Databases, Protein ; Decoys ; Electrostatics ; Energy use ; Hydrogen-Ion Concentration ; Mathematical analysis ; Models, Molecular ; Models, Statistical ; Optimization ; Protein Binding ; Protein Conformation ; Protein Interaction Mapping ; Protein Structure, Tertiary ; Proteins ; Proteins - chemistry ; Software ; Static Electricity ; Statistical analysis ; Thermodynamics</subject><ispartof>Biophysical journal, 2007-11, Vol.93 (10), p.3340-3352</ispartof><rights>2007 The Biophysical Society</rights><rights>Copyright Biophysical Society Nov 15, 2007</rights><rights>Copyright © 2007, Biophysical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c582t-580ee1188a336392766919309ffc9ac949a515969281f452359093587a3a97003</citedby><cites>FETCH-LOGICAL-c582t-580ee1188a336392766919309ffc9ac949a515969281f452359093587a3a97003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2072065/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://dx.doi.org/10.1529/biophysj.107.112367$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3541,27915,27916,45986,53782,53784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17693468$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brock, Kelly</creatorcontrib><creatorcontrib>Talley, Kemper</creatorcontrib><creatorcontrib>Coley, Kacey</creatorcontrib><creatorcontrib>Kundrotas, Petras</creatorcontrib><creatorcontrib>Alexov, Emil</creatorcontrib><title>Optimization of Electrostatic Interactions in Protein-Protein Complexes</title><title>Biophysical journal</title><addtitle>Biophys J</addtitle><description>In this article, we present a statistical analysis of the electrostatic properties of 298 protein-protein complexes and 356 domain-domain structures extracted from the previously developed database of protein complexes (
ProtCom,
http://www.ces.clemson.edu/compbio/protcom). For each structure in the dataset we calculated the total electrostatic energy of the binding and its two components, Coulombic and reaction field energy. It was found that in a vast majority of the cases (>90%), the total electrostatic component of the binding energy was unfavorable. At the same time, the Coulombic component of the binding energy was found to favor the complex formation while the reaction field component of the binding energy opposed the binding. It was also demonstrated that the components in a wild-type (WT) structure are optimized/anti-optimized with respect to the corresponding distributions, arising from random shuffling of the charged side chains. The degree of this optimization was assessed through the Z-score of WT energy in respect to the random distribution. It was found that the Z-scores of Coulombic interactions peak at a considerably negative value for all 654 cases considered while the Z-score of the reaction field energy varied among different types of complexes. All these findings indicate that the Coulombic interactions within WT protein-protein complexes are optimized to favor the complex formation while the total electrostatic energy predominantly opposes the binding. This observation was used to discriminate WT structures among sets of structural decoys and showed that the electrostatic component of the binding energy is not a good discriminator of the WT; while, Coulombic or reaction field energies perform better depending upon the decoy set used.</description><subject>Binding energy</subject><subject>Binding Sites</subject><subject>Biophysical Theory and Modeling</subject><subject>Biophysics</subject><subject>Biophysics - methods</subject><subject>Carrier Proteins - chemistry</subject><subject>Complex formation</subject><subject>Computer Simulation</subject><subject>Databases, Protein</subject><subject>Decoys</subject><subject>Electrostatics</subject><subject>Energy use</subject><subject>Hydrogen-Ion Concentration</subject><subject>Mathematical analysis</subject><subject>Models, Molecular</subject><subject>Models, Statistical</subject><subject>Optimization</subject><subject>Protein Binding</subject><subject>Protein Conformation</subject><subject>Protein Interaction Mapping</subject><subject>Protein Structure, Tertiary</subject><subject>Proteins</subject><subject>Proteins - chemistry</subject><subject>Software</subject><subject>Static Electricity</subject><subject>Statistical analysis</subject><subject>Thermodynamics</subject><issn>0006-3495</issn><issn>1542-0086</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kU9v1DAQxS0EokvLJ0BCEQc4ZTu2438HkNCqtJUqlQM9W653Qr1K4mB7K8qnx9UuUHroaaSZ3zyP3yPkDYUlFcwcX4c439zlzZKCWlLKuFTPyIKKjrUAWj4nCwCQLe-MOCCvct4AUCaAviQHVEnDO6kX5PRyLmEMv1wJcWpi35wM6EuKudSOb86ngsn5-2FuwtR8TbFgmNp9bVZxnAf8ifmIvOjdkPH1vh6Sqy8n31Zn7cXl6fnq80XrhWalFRoQKdXacS65YUpKQw0H0_feOG864wQVRhqmad8JxoUBw4VWjjujAPgh-bTTnbfXI649TiW5wc4pjC7d2eiC_X8yhRv7Pd5aBoqBFFXgw14gxR9bzMWOIXscBjdh3GarZddVm4yq5PsnSak7SQXoCr57BG7iNk3VBsuoqFdXqkJ8B_lqbk7Y_72Zgr3P0_7JszaU3eVZt94-_O6_nX2AFfi4A7Cafhsw2ewDTh7XIdUg7TqGJx_4DVD_sig</recordid><startdate>20071115</startdate><enddate>20071115</enddate><creator>Brock, Kelly</creator><creator>Talley, Kemper</creator><creator>Coley, Kacey</creator><creator>Kundrotas, Petras</creator><creator>Alexov, Emil</creator><general>Elsevier Inc</general><general>Biophysical Society</general><general>The Biophysical Society</general><scope>6I.</scope><scope>AAFTH</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>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>7TB</scope><scope>7U5</scope><scope>L7M</scope><scope>5PM</scope></search><sort><creationdate>20071115</creationdate><title>Optimization of Electrostatic Interactions in Protein-Protein Complexes</title><author>Brock, Kelly ; Talley, Kemper ; Coley, Kacey ; Kundrotas, Petras ; Alexov, Emil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c582t-580ee1188a336392766919309ffc9ac949a515969281f452359093587a3a97003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Binding energy</topic><topic>Binding Sites</topic><topic>Biophysical Theory and Modeling</topic><topic>Biophysics</topic><topic>Biophysics - methods</topic><topic>Carrier Proteins - chemistry</topic><topic>Complex formation</topic><topic>Computer Simulation</topic><topic>Databases, Protein</topic><topic>Decoys</topic><topic>Electrostatics</topic><topic>Energy use</topic><topic>Hydrogen-Ion Concentration</topic><topic>Mathematical analysis</topic><topic>Models, Molecular</topic><topic>Models, Statistical</topic><topic>Optimization</topic><topic>Protein Binding</topic><topic>Protein Conformation</topic><topic>Protein Interaction Mapping</topic><topic>Protein Structure, Tertiary</topic><topic>Proteins</topic><topic>Proteins - chemistry</topic><topic>Software</topic><topic>Static Electricity</topic><topic>Statistical analysis</topic><topic>Thermodynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brock, Kelly</creatorcontrib><creatorcontrib>Talley, Kemper</creatorcontrib><creatorcontrib>Coley, Kacey</creatorcontrib><creatorcontrib>Kundrotas, Petras</creatorcontrib><creatorcontrib>Alexov, Emil</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Research Library</collection><collection>ProQuest Science Journals</collection><collection>ProQuest Biological Science Journals</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biophysical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brock, Kelly</au><au>Talley, Kemper</au><au>Coley, Kacey</au><au>Kundrotas, Petras</au><au>Alexov, Emil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of Electrostatic Interactions in Protein-Protein Complexes</atitle><jtitle>Biophysical journal</jtitle><addtitle>Biophys J</addtitle><date>2007-11-15</date><risdate>2007</risdate><volume>93</volume><issue>10</issue><spage>3340</spage><epage>3352</epage><pages>3340-3352</pages><issn>0006-3495</issn><eissn>1542-0086</eissn><abstract>In this article, we present a statistical analysis of the electrostatic properties of 298 protein-protein complexes and 356 domain-domain structures extracted from the previously developed database of protein complexes (
ProtCom,
http://www.ces.clemson.edu/compbio/protcom). For each structure in the dataset we calculated the total electrostatic energy of the binding and its two components, Coulombic and reaction field energy. It was found that in a vast majority of the cases (>90%), the total electrostatic component of the binding energy was unfavorable. At the same time, the Coulombic component of the binding energy was found to favor the complex formation while the reaction field component of the binding energy opposed the binding. It was also demonstrated that the components in a wild-type (WT) structure are optimized/anti-optimized with respect to the corresponding distributions, arising from random shuffling of the charged side chains. The degree of this optimization was assessed through the Z-score of WT energy in respect to the random distribution. It was found that the Z-scores of Coulombic interactions peak at a considerably negative value for all 654 cases considered while the Z-score of the reaction field energy varied among different types of complexes. All these findings indicate that the Coulombic interactions within WT protein-protein complexes are optimized to favor the complex formation while the total electrostatic energy predominantly opposes the binding. This observation was used to discriminate WT structures among sets of structural decoys and showed that the electrostatic component of the binding energy is not a good discriminator of the WT; while, Coulombic or reaction field energies perform better depending upon the decoy set used.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>17693468</pmid><doi>10.1529/biophysj.107.112367</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Binding energy Binding Sites Biophysical Theory and Modeling Biophysics Biophysics - methods Carrier Proteins - chemistry Complex formation Computer Simulation Databases, Protein Decoys Electrostatics Energy use Hydrogen-Ion Concentration Mathematical analysis Models, Molecular Models, Statistical Optimization Protein Binding Protein Conformation Protein Interaction Mapping Protein Structure, Tertiary Proteins Proteins - chemistry Software Static Electricity Statistical analysis Thermodynamics |
title | Optimization of Electrostatic Interactions in Protein-Protein Complexes |
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