The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Calculations of Activation Entropies of Chemical Reactions in Solution
Abstract
The elucidation of the role of entropic effects in enzyme catalysis is a problem of practical and fundamental interest. In order to address this problem it is essential to develop simulation methods capable of evaluating the entropic contribution, (Δ S ⧧ )‘, of the reacting fragments to the total activation entropy, Δ S ⧧ . In fact, the general ability to evaluate activation entropies of chemical reactions in solution has long been a challenge to computational chemists. The present work develops and examines a method for evaluation of (Δ S ⧧ )‘ and Δ S ⧧ . This method introduces a thermodynamic cycle that considers the transformation between the reactants state (RS) and the transition state (TS) in two paths. In the first path the reacting fragments are constrained to move along a single reaction coordinate while in the second path they are allowed to move also in the subspace perpendicular to the reaction coordinate. The difference between the activation barriers that correspond to the two paths provides the desired − T (Δ S ⧧ )‘. The cycle also involves two steps where a Cartesian restraint that fixes the reacting fragments in the RS and TS is released. The free energies, Δ G ‘'s, associated with these restraint release steps are used to complete the thermodynamic cycle and to provide the actual estimate of (Δ S ⧧ )‘. This estimate is optimized by using different initial conditions and by selecting the smallest value of |Δ G ‘|. The solvent contributions to the activation entropy are evaluated using a newly developed version of the Langevin dipole model. The potential surfaces used in the present work are obtained by the empirical valence bond (EVB) method. This method provides analytical yet reliable potential surfaces that reflect properly the motions of the reacting fragments and the coupling between these motions and the solvent polarization. The analytical representation of the EVB surfaces allows us to perform the extensive sampling necessary in order to obtain converging results. Our method is examined by evaluating the activation entropy for the hydrolysis of formamide in water. It is found that the calculated activation entropies reach convergence in a reasonable computer time and that the agreement between the calculated and observed results is reasonable. This method can be easily implemented in studies of enzymatic reactions and helps in assessing the importance of entropic effects in enzyme catalysis.
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
Radzicka, A., & Wolfenden, R. (1996) · Journal of the American Chemical Society · doi:10.1021/ja954077c · Cited by 484
Cited by
Plata, R. E., & Singleton, D. A. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5111392 · Cited by 445
Liang, Y., Liu, S., Xia, Y., Li, Y., & Yu, Z. (2008) · Chemistry – A European Journal · doi:10.1002/chem.200701725 · Cited by 369
Metadata
- Authors
- Strajbl, M., Sham, Y. Y., Villà, J., Chu, Z.-T., & Warshel, A.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-04-12
- Volume
- 104
- Issue
- 18
- Pages
- 4578-4584
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2078998588
- Cited by
- 168
- References
- 1
- FWCI
- 6.10
- 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.