Evidence map›Paper›PMID 31408606›Full record

ArticleJournal of chemical information and modeling2019

Prediction of Conformation Specific Thermostabilizing Mutations for Class A G Protein-Coupled Receptors.

Suvamay Jana, Soumadwip Ghosh, Sanychen Muk, Benjamin Levy, Nagarajan Vaidehi

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Suvamay JanaDepartment of Computation and Quantitative Medicine , Beckman Research Institute of the City of Hope , 1500 E. Duarte Road , Duarte , California 91010 , United States.
Soumadwip GhoshDepartment of Computation and Quantitative Medicine , Beckman Research Institute of the City of Hope , 1500 E. Duarte Road , Duarte , California 91010 , United States.ORCID 0000-0002-9279-7066
Sanychen MukDepartment of Computation and Quantitative Medicine , Beckman Research Institute of the City of Hope , 1500 E. Duarte Road , Duarte , California 91010 , United States.
Benjamin LevyDepartment of Computation and Quantitative Medicine , Beckman Research Institute of the City of Hope , 1500 E. Duarte Road , Duarte , California 91010 , United States.
Nagarajan VaidehiDepartment of Computation and Quantitative Medicine , Beckman Research Institute of the City of Hope , 1500 E. Duarte Road , Duarte , California 91010 , United States.ORCID 0000-0001-8100-8132

Funding

Structural dynamics underlying GPCR-G protein selectivityR01GM117923 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2017 to 2024
$3.8M
Computationally Guided Design of Thermostable mutants of Neurotensin receptor1R01GM097261 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2011 to 2018
$2.3M
NIGMS NIH HHS R01 GM097261NIGMS NIH HHS R01 GM117923
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are highly flexible and prone to denaturation during protein extraction in detergents and purification. This poses a huge challenge to purify a conformationally homogeneous solution of GPCRs. Thermostabilizing mutations have been used widely to purify and obtain crystal structures of several GPCRs. However, identifying thermostabilizing mutations for GPCRs remains a tedious and expensive task as they are not transferable even among closely related GPCRs. Additionally, the mutations stabilizing one conformational state of a GPCR do not always stabilize other conformational state(s) of the same GPCR. Previously we developed a computational method, LiticonDesign, for rapid prediction of thermostabilizing mutations for a specific GPCR conformation. In this study, we have used LiticonDesign to predict thermostabilizing mutations for the agonist bound active-intermediate state of the human adenosine receptor (A

Indexed as

Adenosine A2 Receptor AgonistsHumansModels, MolecularMolecular Dynamics SimulationMutationProtein ConformationProtein StabilityReceptor, Adenosine A2AReceptors, G-Protein-CoupledTemperatureThermodynamicsAdenosine A2 Receptor AgonistsReceptor, Adenosine A2AReceptors, G-Protein-Coupled

Identifiers

PMID31408606
PMCPMC6944194

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Registered trials

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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.