Repository logo
 
Publication

Improving the study of proton transfers between amino acid sidechains in solution: choosing appropriate DFT functionals and avoiding hidden pitfalls

dc.contributor.authorSilva, Pedro J.
dc.contributor.authorPerez, Marta A. S.
dc.contributor.authorBrás, Natércia F.
dc.contributor.authorFernandes, Pedro A.
dc.contributor.authorRamos, Maria João
dc.date.accessioned2012-08-02T15:31:39Z
dc.date.available2012-08-02T15:31:39Z
dc.date.issued2012-03
dc.description.abstractWe have studied the influence of implicit solvent models, inclusion of explicit water molecules, inclusion of vibrational effects, and density functionals on the quality of the predicted pK a of small amino acid side chain models. We found that the inclusion of vibrational effects and explicit water molecules is crucial to improve the correlation between the computed and the experimental values. In these micro-solvated systems, the best agreement between DFT-computed electronic energies and benchmark values is afforded by BHHLYP and B97-2. However, approaching experimental results requires the addition of more than three explicit water molecules, which generates new problems related to the presence of multiple minima in the potential energy surface. It thus appears that a satisfactory ab initio prediction of amino acid side chain pK a will require methods that sample the configurational space in the presence of large solvation shells, while at the same time computing vibrational contributions to the enthalpy and entropy of the system under study in all points of that surface. Pending development of efficient algorithms for those computations, we strongly suggest that whenever counterintuitive protonation states are found in a computational study (e.g., the presence of a neutral aspartate/neutral histidine dyad instead of a deprotonated aspartate/protonated histidine pair), the reaction profile should be computed under each of the different protonation micro-states by constraining the relevant N–H or O–H bonds, in order to avoid artifacts inherent to the complex nature of the factors contributing to the pK a.por
dc.identifier.citationSilva, P.J., Perez, M.A.S., Brás, N.F. et al. (2012). Improving the study of proton transfers between amino acid side chains in solution: choosing appropriate DFT functionals and avoiding hidden pitfalls. Theoretical Chemistry Accounts. 131(3). https://doi.org/10.1007/s00214-012-1179-x. ISSN 1432-881X.por
dc.identifier.issn1432-881X
dc.identifier.urihttp://hdl.handle.net/10284/3296
dc.language.isoengpor
dc.publisherSpringerpor
dc.relation.publisherversionThe definitive version is available at: www.springerlink.com/ A versão definitiva está disponível em: www.springerlink.compor
dc.subjectDFTpor
dc.subjectBenchmarkingpor
dc.subjectAcid/base reactionspor
dc.subjectAmino acid sidechainspor
dc.titleImproving the study of proton transfers between amino acid sidechains in solution: choosing appropriate DFT functionals and avoiding hidden pitfallspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue3
oaire.citation.titleTheoretical Chemistry Accountspor
oaire.citation.volume131
person.familyNameSilva
person.givenNamePedro
person.identifier.orcid0000-0001-9316-9275
person.identifier.scopus-author-id55310885700
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationf4a9230e-0a0e-45b6-b894-e71ded186ef2
relation.isAuthorOfPublication.latestForDiscoveryf4a9230e-0a0e-45b6-b894-e71ded186ef2

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Improving the study.pdf
Size:
229.62 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: