Benchmarking the Performance of Time-Dependent Density Functional Theory Methods on Biochromophores.


Journal

Journal of chemical theory and computation
ISSN: 1549-9626
Titre abrégé: J Chem Theory Comput
Pays: United States
ID NLM: 101232704

Informations de publication

Date de publication:
14 Jan 2020
Historique:
pubmed: 10 12 2019
medline: 22 1 2020
entrez: 10 12 2019
Statut: ppublish

Résumé

Quantum chemical calculations are important for elucidating light-capturing mechanisms in photobiological systems. The time-dependent density functional theory (TDDFT) has become a popular methodology because of its balance between accuracy and computational scaling, despite its problems in describing, for example, charge transfer states. As a step toward systematically understanding the performance of TDDFT calculations on biomolecular systems, we study here 17 commonly used density functionals, including seven long-range separated functionals, and compare the obtained results with excitation energies calculated at the approximate second order coupled-cluster theory level (CC2). The benchmarking set includes the first five singlet excited states of 11 chemical analogues of biochromophores from the green fluorescent protein, rhodopsin/bacteriorhodopsin (Rh/bR), and the photoactive yellow protein. We find that commonly used pure density functionals such as BP86, PBE, M11-L, and hybrid functionals with 20-25% of Hartree-Fock (HF) exchange (B3LYP, PBE0) have a tendency to consistently underestimate vertical excitation energies (VEEs) relative to the CC2 values, whereas hybrid density functionals with around 50% HF exchange such as BHLYP, PBE50, and M06-2X and long-range corrected functionals such as CAM-B3LYP, ωPBE, ωPBEh, ωB97X, ωB97XD, BNL, and M11 overestimate the VEEs. We observe that calculations using the CAM-B3LYP and ωPBEh functionals with 65% and 100% long-range HF exchange, respectively, lead to an overestimation of the VEEs by 0.2-0.3 eV for the benchmarking set. To reduce the systematic error, we introduce here two new empirical functionals, CAMh-B3LYP and ωhPBE0, for which we adjusted the long-range HF exchange to 50%. The introduced parameterization reduces the mean signed average (MSA) deviation to 0.07 eV and the root mean square (rms) deviation to 0.17 eV as compared to the CC2 values. In the present study, TDDFT calculations using the aug-def2-TZVP basis sets, the best performing functionals relative to CC2 are ωhPBE0 (rms = 0.17, MSA = 0.06 eV); CAMh-B3LYP (rms = 0.16, MSA = 0.07 eV); and PBE0 (rms = 0.23, MSA = -0.14 eV). For the popular range-separated CAM-B3LYP functional, we obtain an rms value of 0.31 eV and an MSA value of 0.25 eV, which can be compared with the rms and MSA values of 0.37 and -0.31 eV, respectively, as obtained at the B3LYP level.

Identifiants

pubmed: 31815476
doi: 10.1021/acs.jctc.9b00823
pmc: PMC7391796
mid: NIHMS1610946
doi:

Substances chimiques

Retinol-Binding Proteins 0
Green Fluorescent Proteins 147336-22-9

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

587-600

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM135392
Pays : United States

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Auteurs

Yihan Shao (Y)

Department of Chemistry and Biochemistry , University of Oklahoma , Norman , Oklahoma 73019 , United States.

Ye Mei (Y)

State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science , East China Normal University , Shanghai 200062 , China.
NYU-ECNU Center for Computational Chemistry at NYU Shanghai , Shanghai 200062 , China.

Dage Sundholm (D)

Department of Chemistry, Faculty of Science , University of Helsinki , P.O. Box 55, Helsinki FIN-00014 , Finland.

Ville R I Kaila (VRI)

Department Chemie , Technische Universität München (TUM) , Lichtenbergstrasse 4 , Garching D-85747 , Germany.
Department of Biochemistry and Biophysics , Stockholm University , Stockholm SE-10691 , Sweden.

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