Evidence map›Paper›PMID 31570961›Full record

ReviewThe Journal of membrane biology2019

Quantum Mechanical and Molecular Mechanics Modeling of Membrane-Embedded Rhodopsins.

Mikhail N Ryazantsev, Dmitrii M Nikolaev, Andrey V Struts, Michael F Brown

Abstract readReview
PubMed Publisher
In one paragraph

Review in The Journal of membrane biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Fluorescence of the Retinal Chromophore in Microbial and Animal Rhodopsins.International journal of molecular sciences · 2023
    Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Special Issue: Membrane and Receptor Dynamics.The Journal of membrane biology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mikhail N RyazantsevInstitute of Chemistry, Saint Petersburg State University, 26 Universitetskii pr, Saint Petersburg, Russia, 198504.
Dmitrii M NikolaevSaint-Petersburg Academic University - Nanotechnology Research and Education Centre RAS, Saint Petersburg, Russia, 194021.
Andrey V StrutsDepartment of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, 85721, USA.
Michael F BrownDepartment of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, 85721, USA. mfbrown@u.arizona.edu.ORCID 0000-0003-4154-0241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational chemistry provides versatile methods for studying the properties and functioning of biological systems at different levels of precision and at different time scales. The aim of this article is to review the computational methodologies that are applicable to rhodopsins as archetypes for photoactive membrane proteins that are of great importance both in nature and in modern technologies. For each class of computational techniques, from methods that use quantum mechanics for simulating rhodopsin photophysics to less-accurate coarse-grained methodologies used for long-scale protein dynamics, we consider possible applications and the main directions for improvement.

Indexed as

Molecular Dynamics SimulationPhotochemical ProcessesAnimalsHumansQuantum TheoryRhodopsinRhodopsinGPCRMembraneMolecular dynamicsProtein dynamicsQuantum mechanicsRetinal

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.