Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 930

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Depth of Chemical Time and the Power of Enzymes as Catalysts

Wolfenden, Richard, Snider, Mark J.·2001·Accounts of Chemical Research

Abstract

The fastest known reactions include reactions catalyzed by enzymes, but the rate enhancements that enzymes produce had not been fully appreciated until recently. In the absence of enzymes, these same reactions are among the slowest that have ever been measured, some with half-times approaching the age of the Earth. This difference provides a measure of the proficiencies of enzymes as catalysts and their relative susceptibilities to inhibition by transition-state analogue inhibitors. Thermodynamic comparisons between spontaneous and enzyme-catalyzed reactions, coupled with structural information, suggest that in addition to electrostatic and H-bonding interactions, the liberation of water molecules from an enzyme's active site into bulk solvent sometimes plays a prominent role in determining the relative binding affinities of the altered substrate in the ground state and transition state. These comparisons also indicate a high level of synergism in the action of binding determinants of both the substrate and the enzyme, that are not directly involved in the chemical transformation of the substrate but contribute to the rate of its transformation at an enzyme's active site.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ar000058i

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 930

Metadata

Authors
Wolfenden, R., & Snider, M. J.
Venue
Accounts of Chemical Research
Published
2001-10-10
Volume
34
Issue
12
Pages
938-945
ISSN
  • 0001-4842 (ISSN-L)
  • 1520-4898
OpenAlex
W1994593429
Cited by
930
References
2
FWCI
18.19
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Depth of Chemical Time and the Power of Enzymes as Catalysts. https://app.cochat.ai/papers/10.1021/ar000058i
The paper
Wolfenden, R., & Snider, M. J. (2001). The Depth of Chemical Time and the Power of Enzymes as Catalysts. Accounts of Chemical Research. https://doi.org/10.1021/ar000058i

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.