Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 306

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Theory and Simulation of the Ultrafast Double-Bond Isomerization of Biological Chromophores

Gozem, Samer, Luk, Hoi Ling, Schapiro, Igor, Olivucci, Massimo·2017·Chemical Reviews

Abstract

Ultrafast processes in light-absorbing proteins have been implicated in the primary step in the light-to-energy conversion and the initialization of photoresponsive biological functions. Theory and computations have played an instrumental role in understanding the molecular mechanism of such processes, as they provide a molecular-level insight of structural and electronic changes at ultrafast time scales that often are very difficult or impossible to obtain from experiments alone. Among theoretical strategies, the application of hybrid quantum mechanics and molecular mechanics (QM/MM) models is an important approach that has reached an evident degree of maturity, resulting in several important contributions to the field. This review presents an overview of state-of-the-art computational studies on subnanosecond events in rhodopsins, photoactive yellow proteins, phytochromes, and some other photoresponsive proteins where photoinduced double-bond isomerization occurs. The review also discusses current limitations that need to be solved in future developments.

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/acs.chemrev.7b00177

Cites

12 of 12 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 12 references

Cited by

See all 306

Metadata

Authors
Gozem, S., Luk, H. L., Schapiro, I., & Olivucci, M.
Venue
Chemical Reviews
Published
2017-10-30
Volume
117
Issue
22
Pages
13502-13565
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2766726220
Cited by
306
References
12
FWCI
2.97
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: Theory and Simulation of the Ultrafast Double-Bond Isomerization of Biological Chromophores. https://app.cochat.ai/papers/10.1021/acs.chemrev.7b00177
The paper
Gozem, S., Luk, H. L., Schapiro, I., & Olivucci, M. (2017). Theory and Simulation of the Ultrafast Double-Bond Isomerization of Biological Chromophores. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.7b00177

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.