Evidence map›Paper›PMID 37939203›Full record

ArticleJournal of chemical information and modeling2023

Combined Computational-Biochemical Approach Offers an Accelerated Path to Membrane Protein Solubilization.

Mariah R Pierce, Jingjing Ji, Sadie X Novak, Michelle A Sieburg, Shivangi Nangia, Shikha Nangia, James L Hougland

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Mariah R PierceDepartment of Chemistry, Syracuse University, Syracuse, New York 13244, United States.
Jingjing JiDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.
Sadie X NovakDepartment of Chemistry, Syracuse University, Syracuse, New York 13244, United States.
Michelle A SieburgDepartment of Chemistry, Syracuse University, Syracuse, New York 13244, United States.
Shivangi NangiaDepartment of Chemistry, University of Hartford, West Hartford, Connecticut 06117, United States.
Shikha NangiaDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.ORCID 0000-0003-1170-8461
James L HouglandDepartment of Chemistry, Syracuse University, Syracuse, New York 13244, United States.ORCID 0000-0003-0444-1017
Syracuse University · USUniversity of Hartford · US

Funding

Breakthrough Molecular Dynamics Research via an Anton2 SupercomputerR01GM116961 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D. · 2016 to 2023
$3.0M
Defining the Molecular Architecture for Transmembrane Acylation by a Membrane Bound O-AcyltransferaseR01GM134102 · NIGMS · SYRACUSE UNIVERSITY · PI CHISHOLM, JOHN DANIEL, HOUGLAND, JAMES · 2019 to 2021
$1.0M
NIGMS NIH HHS R01 GM116961NIGMS NIH HHS R01 GM134102
6 · The paper itself

Abstract

Membrane proteins are difficult to isolate and purify due to their dependence on the surrounding lipid membrane for structural stability. Detergents are often used to solubilize these proteins, with this approach requiring a careful balance between protein solubilization and denaturation. Determining which detergent is most appropriate for a given protein has largely been done empirically through screening, which requires large amounts of membrane protein and associated resources. Here, we describe an alternative to conventional detergent screening using a computational modeling approach to identify the most likely candidate detergents for solubilizing a protein of interest. We demonstrate our approach using ghrelin

Indexed as

DetergentsMembrane ProteinsAcyltransferasesAnimalsGoatsPhospholipidsSolubilityAcyltransferasesDetergentsMembrane ProteinsPhospholipids

Identifiers

PMID37939203
PMCPMC10685452
OpenAlexW4388486500

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.