Evidence map›Paper›PMID 37850125›Full record

ReviewBiodesign research2022

Meta-Analysis of the Expansion in the Field of Structural Biology of ABC Transporters.

Soomi Kim, Teena Bajaj, Cole Chabon, Eric Tablante, Tatyana Kulchinskaya, Tae Seok Moon, Ruchika Bajaj

Abstract readReview
In one paragraph

Review in Biodesign research, 2022. 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
–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

0 citing papers in PubMed.

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.

Soomi Kim *Stem Cell Technology Certificate Program, City College of San Francisco, USA.
Teena Bajaj *Comparative Biochemistry Program, University of California Berkeley, USA.
Cole Chabon *Biotechnology Certificate Program, City College of San Francisco, USA.
Eric TablanteBiotechnology Certificate Program, City College of San Francisco, USA.
Tatyana KulchinskayaStem Cell Technology Certificate Program, City College of San Francisco, USA.
Tae Seok MoonDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, USA.
Ruchika BajajDepartment of Bioengineering and Therapeutics Sciences, University of California San Francisco, USA.ORCID https://orcid.org/0000-0002-9777-0364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ABC transporters are molecular machines which power the solute transport using ATP hydrolysis. The structural biology of ABC transporters has been exploding for the last few years, and this study explores timelines and trends for various attributes such as structural tools, resolution, fold, sources, and group leaders. This study also evidences the significance of mammalian expression systems, advancements in structural biology tools, and the developing interest of group leaders across the world in the remarkably progressing field. The field started in 2002 and bloomed in 2016, and COVID years were really productive to the field. Specifically, the study explores 337 structures of 58 unique ABC transporters deposited in the PDB database from which P-glycoprotein has the largest number of structures. Approximately, 62% of total structures are determined at the resolution of 3-4 Å and 53% of structures belong to fold IV type. With progressive advancements in the field, the field is shifting from prokaryotic to eukaryotic sources and X-ray crystallography to cryoelectron microscopy. In the nutshell, this study uniquely provides the detailed snapshot of the field of structural biology of ABC transporters with real-time data.

Identifiers

PMID37850125
PMCPMC10521687

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LicenceCC BY
Read underepoch 390

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.