Evidence map›Paper›PMID 37192324›Full record

ArticleThe journal of physical chemistry. B2023

Infrared Signatures of Phycobilins within the Phycocyanin 645 Complex.

Partha Pratim Roy, Cristina Leonardo, Kaydren Orcutt, Catrina Oberg, Gregory D Scholes, Graham R Fleming

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2023. 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. Resonant Vibrational Enhancement of Downhill Energy Transfer in theThe journal of physical chemistry letters · 2024
    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

6 authors.

Partha Pratim RoyDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0003-3202-4333
Cristina LeonardoDepartment of Chemistry, University of California, Berkeley, California 94720, United States.
Kaydren OrcuttDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0003-0649-9765
Catrina ObergDepartment of Chemistry, Princeton University, Washington Road, Princeton, New Jersey 08540, United States.
Gregory D ScholesDepartment of Chemistry, Princeton University, Washington Road, Princeton, New Jersey 08540, United States.ORCID 0000-0003-3336-7960
Graham R FlemingDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0003-0847-1838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic photosynthetic organisms evolved to use a variety of light frequencies to perform photosynthesis. Phycobiliprotein phycocyanin 645 (PC645) is a light-harvesting complex in cryptophyte algae able to transfer the absorbed green solar light to other antennas with over 99% efficiency. The infrared signatures of the phycobilin pigments embedded in PC645 are difficult to access and could provide useful information to understand the mechanism behind the high efficiency of energy transfer in PC645. We use visible-pump IR-probe and two-dimensional electronic vibrational spectroscopy to study the dynamical evolution and assign the fingerprint mid-infrared signatures to each pigment in PC645. Here, we report the pigment-specific vibrational markers that enable us to track the spatial flow of excitation energy between the phycobilin pigment pairs. We speculate that two high-frequency modes (1588 and 1596 cm

Indexed as

PhycobilinsPhycocyaninPhotosynthesisPhycobiliproteinsPhycobilinsPhycobiliproteinsPhycocyaninphycocyanin 645

Identifiers

PMID37192324
PMCPMC10226103

What OpenQuestion holds

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LicenceCC BY
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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.