The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Parameterization of the DFTB3 Method for Br, Ca, Cl, F, I, K, and Na in Organic and Biological Systems
Abstract
We present an extension to the recent 3OB parametrization of the Density Functional Tight Binding Model DFTB31,2 for biological and organic systems. Parameters for the halogens F, Cl, Br, and I have been developed for use in covalently bound systems and benchmarked on a test set of 106 molecules (the ‘OrgX’ set), using bonding distances, bonding angles, atomization energies, and vibrational frequencies to assess the performance of the parameters. Additional testing has been done with the X40 set of 40 supramolecular systems containing halogens,3 adding a simple correction for the halogen bonds that are strongly overbound in DFTB3. Furthermore, parameters for Ca, K, and Na as counterions in biological systems have been created. To benchmark geometries as well as ligand binding energies a test set ‘BioMe’ of 210 molecules has been created that cover coordination to various functional groups frequently occurring in biological systems. The new DFTB3/3OB parameter set outperforms DFT calculations with a double-ζ basis set in terms of energies and can reproduce DFT geometries, with some minor deviations in bond distances and angles due to the use of a minimal basis set.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Effect of the damping function in dispersion corrected density functional theory
Grimme, S., Ehrlich, S., & Goerigk, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21759 · Cited by 28,221
Metal ions in biological catalysis: from enzyme databases to general principles
Andreini, C., Bertini, I., Cavallaro, G., Holliday, G. L., & Thornton, J. M. (2008) · JBIC Journal of Biological Inorganic Chemistry · doi:10.1007/s00775-008-0404-5 · Cited by 1,150
Cited by
CREST—A program for the exploration of low-energy molecular chemical space
Pracht, P., Grimme, S., Bannwarth, C., Bohle, F., Ehlert, S., Feldmann, G., Gorges, J., Müller, M., Neudecker, T., Plett, C., et al. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0197592 · Cited by 574
Benchmark Calculations of Interaction Energies in Noncovalent Complexes and Their Applications
Řezáč, J., & Hobza, P. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00526 · Cited by 455
Self-citationChristensen, A. S., Kubař, T., Cui, Q., & Elstner, M. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00584 · Cited by 446
Self-citationSeritan, S., Bannwarth, C., Fales, B. S., Hohenstein, E. G., Isborn, C. M., Kokkila‐Schumacher, S. I. L., Li, X., Liu, F., Luehr, N., Snyder, J. W., et al. (2021) · WIREs Computational Molecular Science · doi:10.1002/wcms.1494 · Cited by 312
Topological molecular nanocarbons: All-benzene catenane and trefoil knot
Segawa, Y., Kuwayama, M., Hijikata, Y., Fushimi, M., Nishihara, T., Pirillo, J., Shirasaki, J., Kubota, N., & Itami, K. (2019) · Science · doi:10.1126/science.aav5021 · Cited by 308
Metadata
- Authors
- Kubillus, M., Kubař, T., Gaus, M., Řezáč, J., & Elstner, M.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-12-22
- Volume
- 11
- Issue
- 1
- Pages
- 332-342
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2043528684
- Cited by
- 303
- References
- 2
- FWCI
- 8.15
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.