Systematic QM Region Construction in QM/MM Calculations Based on Uncertainty Quantification
While QM/MM studies of enzymatic reactions are widely used in computational chemistry, the results of such studies are subject to numerous sources of uncertainty, and the effect of different choices by the simulation scientist that are required when setting up QM/MM calculations is often unclear. In...
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Published in | Journal of chemical theory and computation Vol. 18; no. 4; pp. 2584 - 2596 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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American Chemical Society
12.04.2022
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Abstract | While QM/MM studies of enzymatic reactions are widely used in computational chemistry, the results of such studies are subject to numerous sources of uncertainty, and the effect of different choices by the simulation scientist that are required when setting up QM/MM calculations is often unclear. In particular, the selection of the QM region is crucial for obtaining accurate and reliable results. Simply including amino acids by their distance to the active site is mostly not sufficient as necessary residues are missing or unimportant residues are included without evidence. Here, we take a first step toward quantifying uncertainties in QM/MM calculations by assessing the sensitivity of QM/MM reaction energies with respect to variations of the MM point charges. We show that such a point charge variation analysis (PCVA) can be employed to judge the accuracy of QM/MM reaction energies obtained with a selected QM region and devise a protocol to systematically construct QM regions that minimize this uncertainty. We apply such a PCVA to the example of catechol O-methyltransferase and demonstrate that it provides a simple and reliable approach for the construction of the QM region. Our PCVA-based scheme is computationally efficient and requires only calculations for a system with a minimal QM region. Our work highlights the promise of applying methods of uncertainty quantification in computational chemistry. |
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AbstractList | While QM/MM studies of enzymatic reactions are widely used in computational chemistry, the results of such studies are subject to numerous sources of uncertainty, and the effect of different choices by the simulation scientist that are required when setting up QM/MM calculations is often unclear. In particular, the selection of the QM region is crucial for obtaining accurate and reliable results. Simply including amino acids by their distance to the active site is mostly not sufficient as necessary residues are missing or unimportant residues are included without evidence. Here, we take a first step toward quantifying uncertainties in QM/MM calculations by assessing the sensitivity of QM/MM reaction energies with respect to variations of the MM point charges. We show that such a point charge variation analysis (PCVA) can be employed to judge the accuracy of QM/MM reaction energies obtained with a selected QM region and devise a protocol to systematically construct QM regions that minimize this uncertainty. We apply such a PCVA to the example of catechol
-methyltransferase and demonstrate that it provides a simple and reliable approach for the construction of the QM region. Our PCVA-based scheme is computationally efficient and requires only calculations for a system with a minimal QM region. Our work highlights the promise of applying methods of uncertainty quantification in computational chemistry. While QM/MM studies of enzymatic reactions are widely used in computational chemistry, the results of such studies are subject to numerous sources of uncertainty, and the effect of different choices by the simulation scientist that are required when setting up QM/MM calculations is often unclear. In particular, the selection of the QM region is crucial for obtaining accurate and reliable results. Simply including amino acids by their distance to the active site is mostly not sufficient as necessary residues are missing or unimportant residues are included without evidence. Here, we take a first step toward quantifying uncertainties in QM/MM calculations by assessing the sensitivity of QM/MM reaction energies with respect to variations of the MM point charges. We show that such a point charge variation analysis (PCVA) can be employed to judge the accuracy of QM/MM reaction energies obtained with a selected QM region and devise a protocol to systematically construct QM regions that minimize this uncertainty. We apply such a PCVA to the example of catechol O-methyltransferase and demonstrate that it provides a simple and reliable approach for the construction of the QM region. Our PCVA-based scheme is computationally efficient and requires only calculations for a system with a minimal QM region. Our work highlights the promise of applying methods of uncertainty quantification in computational chemistry. While QM/MM studies of enzymatic reactions are widely used in computational chemistry, the results of such studies are subject to numerous sources of uncertainty, and the effect of different choices by the simulation scientist that are required when setting up QM/MM calculations is often unclear. In particular, the selection of the QM region is crucial for obtaining accurate and reliable results. Simply including amino acids by their distance to the active site is mostly not sufficient as necessary residues are missing or unimportant residues are included without evidence. Here, we take a first step toward quantifying uncertainties in QM/MM calculations by assessing the sensitivity of QM/MM reaction energies with respect to variations of the MM point charges. We show that such a point charge variation analysis (PCVA) can be employed to judge the accuracy of QM/MM reaction energies obtained with a selected QM region and devise a protocol to systematically construct QM regions that minimize this uncertainty. We apply such a PCVA to the example of catechol O-methyltransferase and demonstrate that it provides a simple and reliable approach for the construction of the QM region. Our PCVA-based scheme is computationally efficient and requires only calculations for a system with a minimal QM region. Our work highlights the promise of applying methods of uncertainty quantification in computational chemistry.While QM/MM studies of enzymatic reactions are widely used in computational chemistry, the results of such studies are subject to numerous sources of uncertainty, and the effect of different choices by the simulation scientist that are required when setting up QM/MM calculations is often unclear. In particular, the selection of the QM region is crucial for obtaining accurate and reliable results. Simply including amino acids by their distance to the active site is mostly not sufficient as necessary residues are missing or unimportant residues are included without evidence. Here, we take a first step toward quantifying uncertainties in QM/MM calculations by assessing the sensitivity of QM/MM reaction energies with respect to variations of the MM point charges. We show that such a point charge variation analysis (PCVA) can be employed to judge the accuracy of QM/MM reaction energies obtained with a selected QM region and devise a protocol to systematically construct QM regions that minimize this uncertainty. We apply such a PCVA to the example of catechol O-methyltransferase and demonstrate that it provides a simple and reliable approach for the construction of the QM region. Our PCVA-based scheme is computationally efficient and requires only calculations for a system with a minimal QM region. Our work highlights the promise of applying methods of uncertainty quantification in computational chemistry. |
Author | Jacob, Christoph R Brandt, Felix |
AuthorAffiliation | Institute of Physical and Theoretical Chemistry |
AuthorAffiliation_xml | – name: Institute of Physical and Theoretical Chemistry |
Author_xml | – sequence: 1 givenname: Felix orcidid: 0000-0003-2200-5649 surname: Brandt fullname: Brandt, Felix – sequence: 2 givenname: Christoph R orcidid: 0000-0002-6227-8476 surname: Jacob fullname: Jacob, Christoph R email: c.jacob@tu-braunschweig.de |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35271768$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1021/ja711043x 10.1109/MCSE.2007.55 10.1021/ct400339c 10.1002/jcc.23403 10.1021/bi00238a003 10.1007/978-3-319-23395-6 10.1002/ijch.202000014 10.1021/acs.jctc.1c00178 10.1039/C6CC06055B 10.1021/ct300036s 10.1021/ct700296x 10.1016/0022-2836(76)90311-9 10.1002/qua.10463 10.1016/S0021-9258(18)64731-3 10.1016/bs.mie.2016.05.014 10.1007/s00214-009-0704-z 10.1002/qua.25458 10.1021/acs.jpcb.6b07203 10.2533/chimia.2017.202 10.1016/j.jmgm.2005.12.005 10.3389/fchem.2018.00089 10.5281/zenodo.3685922 10.1021/acs.jctc.6b00727 10.1021/jp962071j 10.5281/zenodo.4743323 10.1002/jcc.1056 10.1002/jcc.10351 10.1021/jp305510c 10.1002/qua.25558 10.1088/0026-1394/41/6/003 10.1016/j.jmb.2008.04.040 10.1021/acs.jctc.0c00153 10.1103/PhysRevLett.77.3865 10.1002/(SICI)1096-987X(19991115)20:14<1468::AID-JCC2>3.0.CO;2-0 10.2172/1088842 10.1039/C9SC05103A 10.1021/acs.jpcb.6b07814 10.1021/acs.accounts.0c00662 10.1021/ja210490f 10.1073/pnas.1506792112 10.1021/ct3000684 10.1002/jcc.540160911 10.1002/(SICI)1097-0134(199701)27:1<9::AID-PROT3>3.0.CO;2-D 10.1016/0263-7855(96)00018-5 10.1002/wcms.1515 10.1021/jp902876n 10.1021/acs.jctc.6b01049 10.1021/ja00124a002 10.1002/jcc.20035 10.1021/jp9809890 10.1146/annurev.physchem.55.091602.094410 10.1021/jp807277r 10.1002/jcc.20291 10.1002/anie.200802019 10.1201/9780203498798 10.1002/wcms.1281 10.1002/prot.22711 10.1007/978-1-62703-017-5_3 10.1186/1756-0500-5-367 10.1063/1.445869 10.1002/jcc.10255 10.1016/S0009-2614(96)01165-7 10.5281/zenodo.5618058 10.1002/jcc.540110605 10.1103/PhysRevLett.97.170201 |
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References | ref9/cit9 ref45/cit45 ref3/cit3 ref27/cit27 Smith R. (ref34/cit34) 2014 ref63/cit63 ref56/cit56 ref16/cit16 ref52/cit52 ref23/cit23 ref8/cit8 ref31/cit31 ref59/cit59 ref2/cit2 ref37/cit37 ref20/cit20 ref48/cit48 ref60/cit60 ref17/cit17 ref10/cit10 ref53/cit53 ref19/cit19 ref21/cit21 Sullivan T. J. (ref35/cit35) 2015 ref42/cit42 ref46/cit46 ref49/cit49 ref13/cit13 Cacuci D. G. (ref41/cit41) 2003 ref61/cit61 ref67/cit67 ref24/cit24 ref38/cit38 ref50/cit50 ref64/cit64 ref54/cit54 ref6/cit6 ref36/cit36 ref18/cit18 ref65/cit65 ref11/cit11 ref25/cit25 ref29/cit29 ref32/cit32 ref39/cit39 ref14/cit14 ref57/cit57 ref5/cit5 ref51/cit51 ref43/cit43 ref28/cit28 ref40/cit40 ref68/cit68 ref26/cit26 ref55/cit55 ref69/cit69 ref12/cit12 ref15/cit15 ref62/cit62 ref66/cit66 ref58/cit58 ref22/cit22 ref33/cit33 ref4/cit4 ref30/cit30 ref47/cit47 ref1/cit1 ref44/cit44 ref70/cit70 ref7/cit7 |
References_xml | – ident: ref67/cit67 doi: 10.1021/ja711043x – ident: ref58/cit58 doi: 10.1109/MCSE.2007.55 – ident: ref17/cit17 doi: 10.1021/ct400339c – ident: ref18/cit18 doi: 10.1002/jcc.23403 – ident: ref65/cit65 doi: 10.1021/bi00238a003 – volume-title: Introduction to Uncertainty Quantification year: 2015 ident: ref35/cit35 doi: 10.1007/978-3-319-23395-6 – ident: ref11/cit11 doi: 10.1002/ijch.202000014 – ident: ref20/cit20 doi: 10.1021/acs.jctc.1c00178 – ident: ref55/cit55 – ident: ref7/cit7 doi: 10.1039/C6CC06055B – ident: ref13/cit13 doi: 10.1021/ct300036s – ident: ref26/cit26 doi: 10.1021/ct700296x – ident: ref1/cit1 doi: 10.1016/0022-2836(76)90311-9 – ident: ref30/cit30 doi: 10.1002/qua.10463 – ident: ref62/cit62 doi: 10.1016/S0021-9258(18)64731-3 – ident: ref8/cit8 doi: 10.1016/bs.mie.2016.05.014 – ident: ref27/cit27 doi: 10.1007/s00214-009-0704-z – ident: ref39/cit39 doi: 10.1002/qua.25458 – ident: ref14/cit14 doi: 10.1021/acs.jpcb.6b07203 – ident: ref38/cit38 doi: 10.2533/chimia.2017.202 – ident: ref52/cit52 doi: 10.1016/j.jmgm.2005.12.005 – ident: ref22/cit22 doi: 10.3389/fchem.2018.00089 – ident: ref43/cit43 doi: 10.5281/zenodo.3685922 – ident: ref21/cit21 doi: 10.1021/acs.jctc.6b00727 – ident: ref29/cit29 doi: 10.1021/jp962071j – ident: ref59/cit59 doi: 10.5281/zenodo.4743323 – ident: ref47/cit47 doi: 10.1002/jcc.1056 – ident: ref57/cit57 doi: 10.1002/jcc.10351 – ident: ref69/cit69 doi: 10.1021/jp305510c – ident: ref10/cit10 doi: 10.1002/qua.25558 – ident: ref36/cit36 doi: 10.1088/0026-1394/41/6/003 – ident: ref63/cit63 doi: 10.1016/j.jmb.2008.04.040 – ident: ref16/cit16 doi: 10.1021/acs.jctc.0c00153 – ident: ref48/cit48 doi: 10.1103/PhysRevLett.77.3865 – ident: ref31/cit31 doi: 10.1002/(SICI)1096-987X(19991115)20:14<1468::AID-JCC2>3.0.CO;2-0 – ident: ref37/cit37 doi: 10.2172/1088842 – ident: ref40/cit40 doi: 10.1039/C9SC05103A – ident: ref15/cit15 doi: 10.1021/acs.jpcb.6b07814 – ident: ref24/cit24 doi: 10.1021/acs.accounts.0c00662 – ident: ref68/cit68 doi: 10.1021/ja210490f – ident: ref64/cit64 doi: 10.1073/pnas.1506792112 – ident: ref54/cit54 – ident: ref70/cit70 doi: 10.1021/ct3000684 – ident: ref28/cit28 doi: 10.1002/jcc.540160911 – ident: ref66/cit66 doi: 10.1002/(SICI)1097-0134(199701)27:1<9::AID-PROT3>3.0.CO;2-D – ident: ref60/cit60 doi: 10.1016/0263-7855(96)00018-5 – ident: ref25/cit25 doi: 10.1002/wcms.1515 – ident: ref12/cit12 doi: 10.1021/jp902876n – ident: ref19/cit19 doi: 10.1021/acs.jctc.6b01049 – ident: ref46/cit46 – ident: ref50/cit50 doi: 10.1021/ja00124a002 – ident: ref51/cit51 doi: 10.1002/jcc.20035 – ident: ref33/cit33 doi: 10.1021/jp9809890 – ident: ref5/cit5 doi: 10.1146/annurev.physchem.55.091602.094410 – ident: ref23/cit23 doi: 10.1021/jp807277r – ident: ref42/cit42 doi: 10.1002/jcc.20291 – ident: ref3/cit3 – ident: ref6/cit6 doi: 10.1002/anie.200802019 – volume-title: Sensitivity & Uncertainty Analysis, Vol. 1: Theory year: 2003 ident: ref41/cit41 doi: 10.1201/9780203498798 – ident: ref9/cit9 doi: 10.1002/wcms.1281 – ident: ref44/cit44 doi: 10.1002/prot.22711 – ident: ref4/cit4 doi: 10.1007/978-1-62703-017-5_3 – ident: ref53/cit53 doi: 10.1186/1756-0500-5-367 – ident: ref45/cit45 doi: 10.1063/1.445869 – ident: ref49/cit49 doi: 10.1002/jcc.10255 – ident: ref32/cit32 doi: 10.1016/S0009-2614(96)01165-7 – ident: ref61/cit61 doi: 10.5281/zenodo.5618058 – ident: ref2/cit2 doi: 10.1002/jcc.540110605 – volume-title: Uncertainty Quantification: Theory, Implementation, and Applications year: 2014 ident: ref34/cit34 – ident: ref56/cit56 doi: 10.1103/PhysRevLett.97.170201 |
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SubjectTerms | Amino acids Biomolecular Systems Catechol Computational chemistry Computer Simulation Mathematical analysis Point charge Quantum Theory Residues Uncertainty |
Title | Systematic QM Region Construction in QM/MM Calculations Based on Uncertainty Quantification |
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