pH replica-exchange method based on discrete protonation states
We propose a new algorithm for obtaining proton titration curves of ionizable residues. The algorithm is a pH replica‐exchange method (PHREM), which is based on the constant pH algorithm of Mongan et al. (J Comput Chem 2004;25:2038–2048). In the original replica‐exchange method, simulations of diffe...
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Veröffentlicht in: | Proteins, structure, function, and bioinformatics structure, function, and bioinformatics, 2011-12, Vol.79 (12), p.3420-3436 |
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description | We propose a new algorithm for obtaining proton titration curves of ionizable residues. The algorithm is a pH replica‐exchange method (PHREM), which is based on the constant pH algorithm of Mongan et al. (J Comput Chem 2004;25:2038–2048). In the original replica‐exchange method, simulations of different replicas are performed at different temperatures, and the temperatures are exchanged between the replicas. In our PHREM, simulations of different replicas are performed at different pH values, and the pHs are exchanged between the replicas. The PHREM was applied to a blocked amino acid and to two protein systems (snake cardiotoxin and turkey ovomucoid third domain), in conjunction with a generalized Born implicit solvent. The performance and accuracy of this algorithm and the original constant pH method (PHMD) were compared. For a single set of simulations at different pHs, the use of PHREM yields more accurate Hill coefficients of titratable residues. By performing multiple sets of constant pH simulations started with different initial states, the accuracy of predicted pKa values and Hill coefficients obtained with PHREM and PHMD methods becomes comparable. However, the PHREM algorithm exhibits better samplings of the protonation states of titratable residues and less scatter of the titration points and thus better precision of measured pKa values and Hill coefficients. In addition, PHREM exhibits faster convergence of individual simulations than the original constant pH algorithm. Proteins 2011; © 2011 Wiley‐Liss, Inc. |
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The algorithm is a pH replica‐exchange method (PHREM), which is based on the constant pH algorithm of Mongan et al. (J Comput Chem 2004;25:2038–2048). In the original replica‐exchange method, simulations of different replicas are performed at different temperatures, and the temperatures are exchanged between the replicas. In our PHREM, simulations of different replicas are performed at different pH values, and the pHs are exchanged between the replicas. The PHREM was applied to a blocked amino acid and to two protein systems (snake cardiotoxin and turkey ovomucoid third domain), in conjunction with a generalized Born implicit solvent. The performance and accuracy of this algorithm and the original constant pH method (PHMD) were compared. For a single set of simulations at different pHs, the use of PHREM yields more accurate Hill coefficients of titratable residues. By performing multiple sets of constant pH simulations started with different initial states, the accuracy of predicted pKa values and Hill coefficients obtained with PHREM and PHMD methods becomes comparable. However, the PHREM algorithm exhibits better samplings of the protonation states of titratable residues and less scatter of the titration points and thus better precision of measured pKa values and Hill coefficients. In addition, PHREM exhibits faster convergence of individual simulations than the original constant pH algorithm. Proteins 2011; © 2011 Wiley‐Liss, Inc.</description><identifier>ISSN: 0887-3585</identifier><identifier>EISSN: 1097-0134</identifier><identifier>DOI: 10.1002/prot.23176</identifier><identifier>PMID: 22002801</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Algorithms ; Amino Acids - chemistry ; Amino Acids - metabolism ; Cobra Cardiotoxin Proteins - chemistry ; Cobra Cardiotoxin Proteins - metabolism ; Computer Simulation ; free energy ; generalized ensemble algorithm ; Hydrogen-Ion Concentration ; Models, Chemical ; Models, Molecular ; molecular dynamics ; Monte Carlo ; Ovomucin - chemistry ; Ovomucin - metabolism ; pKa calculation ; Protein Conformation ; Protein Structure, Tertiary ; Proteins - chemistry ; Proteins - metabolism ; Protons ; Static Electricity ; Temperature</subject><ispartof>Proteins, structure, function, and bioinformatics, 2011-12, Vol.79 (12), p.3420-3436</ispartof><rights>Copyright © 2011 Wiley‐Liss, Inc.</rights><rights>Copyright © 2011 Wiley-Liss, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5846-8f631fc4c334e7c8da7f2500abad15f068e04f7735762654d29ead78bc0a42a83</citedby><cites>FETCH-LOGICAL-c5846-8f631fc4c334e7c8da7f2500abad15f068e04f7735762654d29ead78bc0a42a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fprot.23176$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fprot.23176$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22002801$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Itoh, Satoru G.</creatorcontrib><creatorcontrib>Damjanović, Ana</creatorcontrib><creatorcontrib>Brooks, Bernard R.</creatorcontrib><title>pH replica-exchange method based on discrete protonation states</title><title>Proteins, structure, function, and bioinformatics</title><addtitle>Proteins</addtitle><description>We propose a new algorithm for obtaining proton titration curves of ionizable residues. The algorithm is a pH replica‐exchange method (PHREM), which is based on the constant pH algorithm of Mongan et al. (J Comput Chem 2004;25:2038–2048). In the original replica‐exchange method, simulations of different replicas are performed at different temperatures, and the temperatures are exchanged between the replicas. In our PHREM, simulations of different replicas are performed at different pH values, and the pHs are exchanged between the replicas. The PHREM was applied to a blocked amino acid and to two protein systems (snake cardiotoxin and turkey ovomucoid third domain), in conjunction with a generalized Born implicit solvent. The performance and accuracy of this algorithm and the original constant pH method (PHMD) were compared. For a single set of simulations at different pHs, the use of PHREM yields more accurate Hill coefficients of titratable residues. By performing multiple sets of constant pH simulations started with different initial states, the accuracy of predicted pKa values and Hill coefficients obtained with PHREM and PHMD methods becomes comparable. However, the PHREM algorithm exhibits better samplings of the protonation states of titratable residues and less scatter of the titration points and thus better precision of measured pKa values and Hill coefficients. In addition, PHREM exhibits faster convergence of individual simulations than the original constant pH algorithm. Proteins 2011; © 2011 Wiley‐Liss, Inc.</description><subject>Algorithms</subject><subject>Amino Acids - chemistry</subject><subject>Amino Acids - metabolism</subject><subject>Cobra Cardiotoxin Proteins - chemistry</subject><subject>Cobra Cardiotoxin Proteins - metabolism</subject><subject>Computer Simulation</subject><subject>free energy</subject><subject>generalized ensemble algorithm</subject><subject>Hydrogen-Ion Concentration</subject><subject>Models, Chemical</subject><subject>Models, Molecular</subject><subject>molecular dynamics</subject><subject>Monte Carlo</subject><subject>Ovomucin - chemistry</subject><subject>Ovomucin - metabolism</subject><subject>pKa calculation</subject><subject>Protein Conformation</subject><subject>Protein Structure, Tertiary</subject><subject>Proteins - chemistry</subject><subject>Proteins - metabolism</subject><subject>Protons</subject><subject>Static Electricity</subject><subject>Temperature</subject><issn>0887-3585</issn><issn>1097-0134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtv1DAUhS0EokPLhh-AIrGpkFKu384GhCpoQRUFVFR2lse56aRk4tT2QPvv8XTaEbBgZen6O-c-DiHPKBxQAPZqiiEfME61ekBmFBpdA-XiIZmBMbrm0sgd8iSlSwBQDVePyQ5jRWeAzsib6biKOA29dzVe-4UbL7BaYl6Etpq7hG0Vxqrtk4-YsVp3CqPLfSmm7DKmPfKoc0PCp3fvLvn2_t3Z4XF9cnr04fDtSe2lEao2neK088JzLlB70zrdMQng5q6lsgNlEESnNZdaMSVFyxp0rTZzD04wZ_gueb3xnVbzJbYexxzdYKfYL128scH19u-fsV_Yi_DTcq45MF4M9u8MYrhaYcp2WbbCYXAjhlWyVLKmEUIyUdAX_6CXYRXHsl6hqGGKQaMK9XJD-RhSithth6Fg17nY9bXsbS4Ffv7n-Fv0PogC0A3wqx_w5j9W9vPX07N703qj6VPG663GxR9Waa6lPf90ZL9zyfgXdm4_8t9q76eE</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Itoh, Satoru G.</creator><creator>Damjanović, Ana</creator><creator>Brooks, Bernard R.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</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>7QL</scope><scope>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>201112</creationdate><title>pH replica-exchange method based on discrete protonation states</title><author>Itoh, Satoru G. ; Damjanović, Ana ; Brooks, Bernard R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5846-8f631fc4c334e7c8da7f2500abad15f068e04f7735762654d29ead78bc0a42a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithms</topic><topic>Amino Acids - chemistry</topic><topic>Amino Acids - metabolism</topic><topic>Cobra Cardiotoxin Proteins - chemistry</topic><topic>Cobra Cardiotoxin Proteins - metabolism</topic><topic>Computer Simulation</topic><topic>free energy</topic><topic>generalized ensemble algorithm</topic><topic>Hydrogen-Ion Concentration</topic><topic>Models, Chemical</topic><topic>Models, Molecular</topic><topic>molecular dynamics</topic><topic>Monte Carlo</topic><topic>Ovomucin - chemistry</topic><topic>Ovomucin - metabolism</topic><topic>pKa calculation</topic><topic>Protein Conformation</topic><topic>Protein Structure, Tertiary</topic><topic>Proteins - chemistry</topic><topic>Proteins - metabolism</topic><topic>Protons</topic><topic>Static Electricity</topic><topic>Temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Itoh, Satoru G.</creatorcontrib><creatorcontrib>Damjanović, Ana</creatorcontrib><creatorcontrib>Brooks, Bernard R.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids 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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proteins, structure, function, and bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Itoh, Satoru G.</au><au>Damjanović, Ana</au><au>Brooks, Bernard R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>pH replica-exchange method based on discrete protonation states</atitle><jtitle>Proteins, structure, function, and bioinformatics</jtitle><addtitle>Proteins</addtitle><date>2011-12</date><risdate>2011</risdate><volume>79</volume><issue>12</issue><spage>3420</spage><epage>3436</epage><pages>3420-3436</pages><issn>0887-3585</issn><eissn>1097-0134</eissn><abstract>We propose a new algorithm for obtaining proton titration curves of ionizable residues. The algorithm is a pH replica‐exchange method (PHREM), which is based on the constant pH algorithm of Mongan et al. (J Comput Chem 2004;25:2038–2048). In the original replica‐exchange method, simulations of different replicas are performed at different temperatures, and the temperatures are exchanged between the replicas. In our PHREM, simulations of different replicas are performed at different pH values, and the pHs are exchanged between the replicas. The PHREM was applied to a blocked amino acid and to two protein systems (snake cardiotoxin and turkey ovomucoid third domain), in conjunction with a generalized Born implicit solvent. The performance and accuracy of this algorithm and the original constant pH method (PHMD) were compared. For a single set of simulations at different pHs, the use of PHREM yields more accurate Hill coefficients of titratable residues. By performing multiple sets of constant pH simulations started with different initial states, the accuracy of predicted pKa values and Hill coefficients obtained with PHREM and PHMD methods becomes comparable. However, the PHREM algorithm exhibits better samplings of the protonation states of titratable residues and less scatter of the titration points and thus better precision of measured pKa values and Hill coefficients. In addition, PHREM exhibits faster convergence of individual simulations than the original constant pH algorithm. Proteins 2011; © 2011 Wiley‐Liss, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>22002801</pmid><doi>10.1002/prot.23176</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Amino Acids - chemistry Amino Acids - metabolism Cobra Cardiotoxin Proteins - chemistry Cobra Cardiotoxin Proteins - metabolism Computer Simulation free energy generalized ensemble algorithm Hydrogen-Ion Concentration Models, Chemical Models, Molecular molecular dynamics Monte Carlo Ovomucin - chemistry Ovomucin - metabolism pKa calculation Protein Conformation Protein Structure, Tertiary Proteins - chemistry Proteins - metabolism Protons Static Electricity Temperature |
title | pH replica-exchange method based on discrete protonation states |
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