Correcting for the free energy costs of bond or angle constraints in molecular dynamics simulations
Free energy simulations are an important tool in the arsenal of computational biophysics, allowing the calculation of thermodynamic properties of binding or enzymatic reactions. This paper introduces methods to increase the accuracy and precision of free energy calculations by calculating the free e...
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Veröffentlicht in: | Biochimica et biophysica acta 2015-05, Vol.1850 (5), p.932-943 |
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description | Free energy simulations are an important tool in the arsenal of computational biophysics, allowing the calculation of thermodynamic properties of binding or enzymatic reactions. This paper introduces methods to increase the accuracy and precision of free energy calculations by calculating the free energy costs of constraints during post-processing. The primary purpose of employing constraints for these free energy methods is to increase the phase space overlap between ensembles, which is required for accuracy and convergence.
The free energy costs of applying or removing constraints are calculated as additional explicit steps in the free energy cycle. The new techniques focus on hard degrees of freedom and use both gradients and Hessian estimation. Enthalpy, vibrational entropy, and Jacobian free energy terms are considered.
We demonstrate the utility of this method with simple classical systems involving harmonic and anharmonic oscillators, four-atomic benchmark systems, an alchemical mutation of ethane to methanol, and free energy simulations between alanine and serine. The errors for the analytical test cases are all below 0.0007kcal/mol, and the accuracy of the free energy results of ethane to methanol is improved from 0.15 to 0.04kcal/mol. For the alanine to serine case, the phase space overlaps of the unconstrained simulations range between 0.15 and 0.9%. The introduction of constraints increases the overlap up to 2.05%. On average, the overlap increases by 94% relative to the unconstrained value and precision is doubled.
The approach reduces errors arising from constraints by about an order of magnitude. Free energy simulations benefit from the use of constraints through enhanced convergence and higher precision.
The primary utility of this approach is to calculate free energies for systems with disparate energy surfaces and bonded terms, especially in multi-scale molecular mechanics/quantum mechanics simulations. This article is part of a Special Issue entitled Recent developments of molecular dynamics.
•We present a method to compute the free energy costs of constraints.•The method reduces the free energy errors of constrained simulations by 90%.•Precision of free energy calculations is doubled by using constraints.•Computational costs are reduced by up to a factor of eight. |
doi_str_mv | 10.1016/j.bbagen.2014.09.001 |
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The free energy costs of applying or removing constraints are calculated as additional explicit steps in the free energy cycle. The new techniques focus on hard degrees of freedom and use both gradients and Hessian estimation. Enthalpy, vibrational entropy, and Jacobian free energy terms are considered.
We demonstrate the utility of this method with simple classical systems involving harmonic and anharmonic oscillators, four-atomic benchmark systems, an alchemical mutation of ethane to methanol, and free energy simulations between alanine and serine. The errors for the analytical test cases are all below 0.0007kcal/mol, and the accuracy of the free energy results of ethane to methanol is improved from 0.15 to 0.04kcal/mol. For the alanine to serine case, the phase space overlaps of the unconstrained simulations range between 0.15 and 0.9%. The introduction of constraints increases the overlap up to 2.05%. On average, the overlap increases by 94% relative to the unconstrained value and precision is doubled.
The approach reduces errors arising from constraints by about an order of magnitude. Free energy simulations benefit from the use of constraints through enhanced convergence and higher precision.
The primary utility of this approach is to calculate free energies for systems with disparate energy surfaces and bonded terms, especially in multi-scale molecular mechanics/quantum mechanics simulations. This article is part of a Special Issue entitled Recent developments of molecular dynamics.
•We present a method to compute the free energy costs of constraints.•The method reduces the free energy errors of constrained simulations by 90%.•Precision of free energy calculations is doubled by using constraints.•Computational costs are reduced by up to a factor of eight.</description><identifier>ISSN: 0304-4165</identifier><identifier>ISSN: 0006-3002</identifier><identifier>EISSN: 1872-8006</identifier><identifier>DOI: 10.1016/j.bbagen.2014.09.001</identifier><identifier>PMID: 25218695</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>alanine ; Alanine - chemistry ; Algorithms ; Bennett's acceptance ratio ; binding properties ; biophysics ; Constraint correction ; energy ; energy costs ; Energy Transfer ; enthalpy ; entropy ; enzymatic reactions ; ethane ; Ethane - chemistry ; Free energy calculation ; Gibbs free energy ; methanol ; Methanol - chemistry ; molecular dynamics ; Molecular Dynamics Simulation ; Molecular Structure ; mutation ; Normal mode analysis ; Oscillometry ; precision ; quantum mechanics ; Reproducibility of Results ; serine ; Serine - chemistry</subject><ispartof>Biochimica et biophysica acta, 2015-05, Vol.1850 (5), p.932-943</ispartof><rights>2014</rights><rights>Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c496t-11dd438e0dae268e307e2a942034edf13720654c7888d69b06e5ee18942a3fe3</citedby><cites>FETCH-LOGICAL-c496t-11dd438e0dae268e307e2a942034edf13720654c7888d69b06e5ee18942a3fe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S030441651400302X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25218695$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>König, Gerhard</creatorcontrib><creatorcontrib>Brooks, Bernard R.</creatorcontrib><title>Correcting for the free energy costs of bond or angle constraints in molecular dynamics simulations</title><title>Biochimica et biophysica acta</title><addtitle>Biochim Biophys Acta</addtitle><description>Free energy simulations are an important tool in the arsenal of computational biophysics, allowing the calculation of thermodynamic properties of binding or enzymatic reactions. This paper introduces methods to increase the accuracy and precision of free energy calculations by calculating the free energy costs of constraints during post-processing. The primary purpose of employing constraints for these free energy methods is to increase the phase space overlap between ensembles, which is required for accuracy and convergence.
The free energy costs of applying or removing constraints are calculated as additional explicit steps in the free energy cycle. The new techniques focus on hard degrees of freedom and use both gradients and Hessian estimation. Enthalpy, vibrational entropy, and Jacobian free energy terms are considered.
We demonstrate the utility of this method with simple classical systems involving harmonic and anharmonic oscillators, four-atomic benchmark systems, an alchemical mutation of ethane to methanol, and free energy simulations between alanine and serine. The errors for the analytical test cases are all below 0.0007kcal/mol, and the accuracy of the free energy results of ethane to methanol is improved from 0.15 to 0.04kcal/mol. For the alanine to serine case, the phase space overlaps of the unconstrained simulations range between 0.15 and 0.9%. The introduction of constraints increases the overlap up to 2.05%. On average, the overlap increases by 94% relative to the unconstrained value and precision is doubled.
The approach reduces errors arising from constraints by about an order of magnitude. Free energy simulations benefit from the use of constraints through enhanced convergence and higher precision.
The primary utility of this approach is to calculate free energies for systems with disparate energy surfaces and bonded terms, especially in multi-scale molecular mechanics/quantum mechanics simulations. This article is part of a Special Issue entitled Recent developments of molecular dynamics.
•We present a method to compute the free energy costs of constraints.•The method reduces the free energy errors of constrained simulations by 90%.•Precision of free energy calculations is doubled by using constraints.•Computational costs are reduced by up to a factor of eight.</description><subject>alanine</subject><subject>Alanine - chemistry</subject><subject>Algorithms</subject><subject>Bennett's acceptance ratio</subject><subject>binding properties</subject><subject>biophysics</subject><subject>Constraint correction</subject><subject>energy</subject><subject>energy costs</subject><subject>Energy Transfer</subject><subject>enthalpy</subject><subject>entropy</subject><subject>enzymatic reactions</subject><subject>ethane</subject><subject>Ethane - chemistry</subject><subject>Free energy calculation</subject><subject>Gibbs free energy</subject><subject>methanol</subject><subject>Methanol - chemistry</subject><subject>molecular dynamics</subject><subject>Molecular Dynamics Simulation</subject><subject>Molecular Structure</subject><subject>mutation</subject><subject>Normal mode analysis</subject><subject>Oscillometry</subject><subject>precision</subject><subject>quantum mechanics</subject><subject>Reproducibility of Results</subject><subject>serine</subject><subject>Serine - chemistry</subject><issn>0304-4165</issn><issn>0006-3002</issn><issn>1872-8006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkctu1DAUhq0K1E4Lb1AhL9kk-B5ng4RGBSpVYtO95dgnqUeJXexMpXl7PJq2wAa8sXTOd27_j9A1JS0lVH3atcNgJ4gtI1S0pG8JoWdoQ3XHGk2IeoM2hBPRCKrkBbosZUfqk708RxdMMqpVLzfIbVPO4NYQJzymjNcHwGMGwBAhTwfsUlkLTiMeUvS4AjZOM9RwLGu2IdZkiHhJM7j9bDP2h2iX4AouYamBNVTwHXo72rnA--f_Ct1_vbnffm_ufny73X65a5zo1dpQ6r3gGoi3wJQGTjpgtheMcAF-pLxjREnhOq21V_1AFEgAqith-Qj8Cn0-tX3cDwt4B7FuOJvHHBabDybZYP7OxPBgpvRkBOe9ZLI2-PjcIKefeyirWUJxMM82QtoXw6p-jDPR0f-iVXMtqOayr6g4oS6nUjKMrxtRYo5Omp05OWmOThrSm-pkLfvw5zWvRS_W_T4XqqRPAbIpLkB04MPRUONT-PeEX5KMsp8</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>König, Gerhard</creator><creator>Brooks, Bernard R.</creator><general>Elsevier B.V</general><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>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20150501</creationdate><title>Correcting for the free energy costs of bond or angle constraints in molecular dynamics simulations</title><author>König, Gerhard ; Brooks, Bernard R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c496t-11dd438e0dae268e307e2a942034edf13720654c7888d69b06e5ee18942a3fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>alanine</topic><topic>Alanine - chemistry</topic><topic>Algorithms</topic><topic>Bennett's acceptance ratio</topic><topic>binding properties</topic><topic>biophysics</topic><topic>Constraint correction</topic><topic>energy</topic><topic>energy costs</topic><topic>Energy Transfer</topic><topic>enthalpy</topic><topic>entropy</topic><topic>enzymatic reactions</topic><topic>ethane</topic><topic>Ethane - chemistry</topic><topic>Free energy calculation</topic><topic>Gibbs free energy</topic><topic>methanol</topic><topic>Methanol - chemistry</topic><topic>molecular dynamics</topic><topic>Molecular Dynamics Simulation</topic><topic>Molecular Structure</topic><topic>mutation</topic><topic>Normal mode analysis</topic><topic>Oscillometry</topic><topic>precision</topic><topic>quantum mechanics</topic><topic>Reproducibility of Results</topic><topic>serine</topic><topic>Serine - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>König, Gerhard</creatorcontrib><creatorcontrib>Brooks, Bernard R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biochimica et biophysica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>König, Gerhard</au><au>Brooks, Bernard R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correcting for the free energy costs of bond or angle constraints in molecular dynamics simulations</atitle><jtitle>Biochimica et biophysica acta</jtitle><addtitle>Biochim Biophys Acta</addtitle><date>2015-05-01</date><risdate>2015</risdate><volume>1850</volume><issue>5</issue><spage>932</spage><epage>943</epage><pages>932-943</pages><issn>0304-4165</issn><issn>0006-3002</issn><eissn>1872-8006</eissn><abstract>Free energy simulations are an important tool in the arsenal of computational biophysics, allowing the calculation of thermodynamic properties of binding or enzymatic reactions. This paper introduces methods to increase the accuracy and precision of free energy calculations by calculating the free energy costs of constraints during post-processing. The primary purpose of employing constraints for these free energy methods is to increase the phase space overlap between ensembles, which is required for accuracy and convergence.
The free energy costs of applying or removing constraints are calculated as additional explicit steps in the free energy cycle. The new techniques focus on hard degrees of freedom and use both gradients and Hessian estimation. Enthalpy, vibrational entropy, and Jacobian free energy terms are considered.
We demonstrate the utility of this method with simple classical systems involving harmonic and anharmonic oscillators, four-atomic benchmark systems, an alchemical mutation of ethane to methanol, and free energy simulations between alanine and serine. The errors for the analytical test cases are all below 0.0007kcal/mol, and the accuracy of the free energy results of ethane to methanol is improved from 0.15 to 0.04kcal/mol. For the alanine to serine case, the phase space overlaps of the unconstrained simulations range between 0.15 and 0.9%. The introduction of constraints increases the overlap up to 2.05%. On average, the overlap increases by 94% relative to the unconstrained value and precision is doubled.
The approach reduces errors arising from constraints by about an order of magnitude. Free energy simulations benefit from the use of constraints through enhanced convergence and higher precision.
The primary utility of this approach is to calculate free energies for systems with disparate energy surfaces and bonded terms, especially in multi-scale molecular mechanics/quantum mechanics simulations. This article is part of a Special Issue entitled Recent developments of molecular dynamics.
•We present a method to compute the free energy costs of constraints.•The method reduces the free energy errors of constrained simulations by 90%.•Precision of free energy calculations is doubled by using constraints.•Computational costs are reduced by up to a factor of eight.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>25218695</pmid><doi>10.1016/j.bbagen.2014.09.001</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | alanine Alanine - chemistry Algorithms Bennett's acceptance ratio binding properties biophysics Constraint correction energy energy costs Energy Transfer enthalpy entropy enzymatic reactions ethane Ethane - chemistry Free energy calculation Gibbs free energy methanol Methanol - chemistry molecular dynamics Molecular Dynamics Simulation Molecular Structure mutation Normal mode analysis Oscillometry precision quantum mechanics Reproducibility of Results serine Serine - chemistry |
title | Correcting for the free energy costs of bond or angle constraints in molecular dynamics simulations |
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