Evidence map›Paper›PMID 12825797›Full record

ArticleJournal of computer-aided molecular design2002

Key issues in the computational simulation of GPCR function: representation of loop domains.

E L Mehler, X Periole, S A Hassan, H Weinstein

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 54 citations in OpenAlex.

  1. The Intriguing Effects of Substituents in theMolecules (Basel, Switzerland) · 2020
    Article
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  12. Membrane protein prediction methods.Methods (San Diego, Calif.) · 2007
    Review
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  15. Article
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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 at 1 institution in 1 country.

E L MehlerDepartment of Physiology and Biophysics, Mount Sinai School of Medicine, New York, NY 10029, USA.
X Periole
S A Hassan
H Weinstein
Icahn School of Medicine at Mount Sinai · US

Funding

HALLUCINOGENS IN SPECIFIC SIGNALING AND CIRCUITRYP01DA012923 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GINGRICH, JAY A · 2000 to 2011
$8.6M
Functional Properties of Protein Segments in Receptors and TransportersR01DA015170 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI JAVITCH, JONATHAN A, WEINSTEIN, HAREL · 2002 to 2013
$2.8M
MOLECULAR DETERMINANTS FOR THE ACTION OF HALLUCINOGENSK05DA000060 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI WEINSTEIN, HAREL · 1990 to 2006
$742k
NIDA NIH HHS DA 124080NIDA NIH HHS K05 DA-00060NIDA NIH HHS P01 DA12923NIDA NIH HHS R01 DA15170
6 · The paper itself

Abstract

Some key concerns raised by molecular modeling and computational simulation of functional mechanisms for membrane proteins are discussed and illustrated for members of the family of G protein coupled receptors (GPCRs). Of particular importance are issues related to the modeling and computational treatment of loop regions. These are demonstrated here with results from different levels of computational simulations applied to the structures of rhodopsin and a model of the 5-HT2A serotonin receptor, 5-HT2AR. First, comparative Molecular Dynamics (MD) simulations are reported for rhodopsin in vacuum and embedded in an explicit representation of the membrane and water environment. It is shown that in spite of a partial accounting of solvent screening effects by neutralization of charged side chains, vacuum MD simulations can lead to severe distortions of the loop structures. The primary source of the distortion appears to be formation of artifactual H-bonds, as has been repeatedly observed in vacuum simulations. To address such shortcomings, a recently proposed approach that has been developed for calculating the structure of segments that connect elements of secondary structure with known coordinates, is applied to 5-HT2AR to obtain an initial representation of the loops connecting the transmembrane (TM) helices. The approach consists of a simulated annealing combined with biased scaled collective variables Monte Carlo technique, and is applied to loops connecting the TM segments on both the extra-cellular and the cytoplasmic sides of the receptor. Although this initial calculation treats the loops as independent structural entities, the final structure exhibits a number of interloop interactions that may have functional significance. Finally, it is shown here that in the case where a given loop from two different GPCRs (here rhodopsin and 5-HT2AR) has approximately the same length and some degree of sequence identity, the fold adopted by the loops can be similar. Thus, in such special cases homology modeling might be used to obtain initial structures of these loops. Notably, however, all other loops in these two receptors appear to be very different in sequence and structure, so that their conformations can be found reliably only by ab initio, energy based methods and not by homology modeling.

Indexed as

AlgorithmsAmino Acid SequenceComputer SimulationMembranes, ArtificialModels, MolecularMonte Carlo MethodProtein ConformationProtein Structure, TertiaryReceptor, Serotonin, 5-HT2AReceptors, G-Protein-CoupledRhodopsinSequence Homology, Amino AcidThermodynamicsVacuumWaterMembranes, ArtificialReceptor, Serotonin, 5-HT2AReceptors, G-Protein-CoupledRhodopsinWater

Identifiers

PMID12825797
OpenAlexW2147104519

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.