Evidence map›Paper›PMID 30087916›Full record

ArticleACS omega2018

A Comparative Study of Modern Homology Modeling Algorithms for Rhodopsin Structure Prediction.

Dmitrii M Nikolaev, Andrey A Shtyrov, Maxim S Panov, Adeel Jamal, Oleg B Chakchir, Vladimir A Kochemirovsky, Massimo Olivucci, Mikhail N Ryazantsev

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

21 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Atomistic mechanisms of the regulation of small-conductance CaProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Fluorescence of the Retinal Chromophore in Microbial and Animal Rhodopsins.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Structure and dynamics of membrane protein in SARS-CoV-2.Journal of biomolecular structure & dynamics · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. RubyACRs, nonalgal anion channelrhodopsins with highly red-shifted absorption.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Article
  20. 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

8 authors at 4 institutions in 3 countries.

Dmitrii M NikolaevNanotechnology Research and Education Centre RAS, Saint-Petersburg Academic University, 8/3 Khlopina Street, St. Petersburg 194021, Russia.
Andrey A ShtyrovNanotechnology Research and Education Centre RAS, Saint-Petersburg Academic University, 8/3 Khlopina Street, St. Petersburg 194021, Russia.
Maxim S PanovInstitute of Chemistry, Saint Petersburg State University, 7/9 Universitetskaya emb., St. Petersburg 199034, Russia.
Adeel JamalDepartment of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Oleg B ChakchirNanotechnology Research and Education Centre RAS, Saint-Petersburg Academic University, 8/3 Khlopina Street, St. Petersburg 194021, Russia.
Vladimir A KochemirovskyInstitute of Chemistry, Saint Petersburg State University, 7/9 Universitetskaya emb., St. Petersburg 199034, Russia.
Massimo OlivucciDepartment of Biotechnology, Chemistry and Pharmacy, Università di Siena, via A. Moro 2, Siena I-53100, Italy.
Mikhail N RyazantsevInstitute of Chemistry, Saint Petersburg State University, 7/9 Universitetskaya emb., St. Petersburg 199034, Russia.
Saint Petersburg Academic University · RUSt Petersburg University · RUMassachusetts Institute of Technology · USUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhodopsins are seven α-helical membrane proteins that are of great importance in chemistry, biology, and modern biotechnology. Any in silico study on rhodopsin properties and functioning requires a high-quality three-dimensional structure. Due to particular difficulties with obtaining membrane protein structures from the experiment, in silico prediction of the three-dimensional rhodopsin structure based only on its primary sequence is an especially important task. For the last few years, significant progress was made in the field of protein structure prediction, especially for methods based on comparative modeling. However, the majority of this progress was made for soluble proteins and further investigations are needed to achieve similar progress for membrane proteins. In this paper, we evaluate the performance of modern protein structure prediction methodologies (implemented in the Medeller, I-TASSER, and Rosetta packages) for their ability to predict rhodopsin structures. Three widely used methodologies were considered: two general methodologies that are commonly applied to soluble proteins and a methodology that uses constraints that are specific for membrane proteins. The test pool consisted of 36 target-template pairs with different sequence similarities that was constructed on the basis of 24 experimental rhodopsin structures taken from the RCSB database. As a result, we showed that all three considered methodologies allow obtaining rhodopsin structures with the quality that is close to the crystallographic one (root mean square deviation (RMSD) of the predicted structure from the corresponding X-ray structure up to 1.5 Å) if the target-template sequence identity is higher than 40%. Moreover, all considered methodologies provided structures of average quality (RMSD < 4.0 Å) if the target-template sequence identity is higher than 20%. Such structures can be subsequently used for further investigation of molecular mechanisms of protein functioning and for the development of modern protein-based biotechnologies.

Identifiers

PMID30087916
PMCPMC6068592
OpenAlexW2819403710

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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.