Evidence map›Paper›PMID 33963527›Full record

ArticleAdvances in experimental medicine and biology2022

Integrated Structural Studies for Elucidating Carotenoid-Protein Interactions.

Corie Y Ralston, Cheryl A Kerfeld

Open access · greenAbstract read
In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 60% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 2 institutions in 1 country.

Corie Y RalstonMolecular Biophysics and Integrated Bioimaging Division and the Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Cheryl A KerfeldEnvironmental Genomics and Systems Biology and Molecular Biophysics and Integrated Bioimaging Divisions, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. ckerfeld@lbl.gov.
Lawrence Berkeley National Laboratory · USMichigan State University · US

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
Development of high-dose time-resolved x-ray footprinting technologies to enable the next level of structural analysis for challenging biological problemsR01GM126218 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI RALSTON, CORIE Y · 2018 to 2025
$3.4M
NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R01 GM126218
6 · The paper itself

Abstract

Carotenoids are ancient pigment molecules that, when associated with proteins, have a tremendous range of functional properties. Unlike most protein prosthetic groups, there are no recognizable primary structure motifs that predict carotenoid binding, hence the structural details of their amino acid interactions in proteins must be worked out empirically. Here we describe our recent efforts to combine complementary biophysical methods to elucidate the precise details of protein-carotenoid interactions in the Orange Carotenoid Protein and its evolutionary antecedents, the Helical Carotenoid Proteins (HCPs), CTD-like carotenoid proteins (CCPs).

Indexed as

CyanobacteriaBacterial ProteinsCarotenoidsBacterial ProteinsCarotenoidsCarotenoidChromophoreCTD-like carotenoid proteins (CCP)Helical carotenoid protein (HCP)Hydrogen-deuterium exchange (HDX)Orange carotenoid protein (OCP)PhotoprotectionProtein crystallographySmall angle X-ray scattering (SAXS)X-ray footprinting mass spectrometry (XFMS)

Identifiers

PMID33963527
PMCPMC9522475
OpenAlexW3159152695

What OpenQuestion holds

Textmetadata
LicenceTDM
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.