Evidence map›Paper›PMID 29364888›Full record

ArticlePLoS computational biology2018

Predicting peak spectral sensitivities of vertebrate cone visual pigments using atomistic molecular simulations.

Jagdish Suresh Patel, Celeste J Brown, F Marty Ytreberg, Deborah L Stenkamp

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  5. Molecular advances to study the function, evolution and spectral tuning of arthropod visual opsins.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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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

4 authors at 1 institution in 1 country.

Jagdish Suresh PatelCenter for Modeling Complex Interactions, University of Idaho, Moscow, ID, United States of America.ORCID 0000-0003-4999-5347
Celeste J BrownCenter for Modeling Complex Interactions, University of Idaho, Moscow, ID, United States of America.
F Marty YtrebergCenter for Modeling Complex Interactions, University of Idaho, Moscow, ID, United States of America.
Deborah L StenkampDepartment of Biological Sciences, University of Idaho, Moscow, ID, United States of America.ORCID 0000-0002-5005-802X
University of Idaho · US

Funding

Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI WICHMAN, HOLLY A · 2015 to 2024
$22.9M
Patterning Genes in Retinal DevelopmentR01EY012146 · NEI · UNIVERSITY OF IDAHO · PI Deborah L Stenkamp · 2004 to 2026
$6.7M
Genomics Resources Core (GRC)P30GM103324 · NIGMS · UNIVERSITY OF IDAHO · PI FORNEY, LARRY J · 2013 to 2017
$5.0M
NEI NIH HHS R01 EY012146NIGMS NIH HHS P20 GM104420NIGMS NIH HHS P30 GM103324
6 · The paper itself

Abstract

Vision is the dominant sensory modality in many organisms for foraging, predator avoidance, and social behaviors including mate selection. Vertebrate visual perception is initiated when light strikes rod and cone photoreceptors within the neural retina of the eye. Sensitivity to individual colors, i.e., peak spectral sensitivities (λmax) of visual pigments, are a function of the type of chromophore and the amino acid sequence of the associated opsin protein in the photoreceptors. Large differences in peak spectral sensitivities can result from minor differences in amino acid sequence of cone opsins. To determine how minor sequence differences could result in large spectral shifts we selected a spectrally-diverse group of 14 teleost Rh2 cone opsins for which sequences and λmax are experimentally known. Classical molecular dynamics simulations were carried out after embedding chromophore-associated homology structures within explicit bilayers and water. These simulations revealed structural features of visual pigments, particularly within the chromophore, that contributed to diverged spectral sensitivities. Statistical tests performed on all the observed structural parameters associated with the chromophore revealed that a two-term, first-order regression model was sufficient to accurately predict λmax over a range of 452-528 nm. The approach was accurate, efficient and simple in that site-by-site molecular modifications or complex quantum mechanics models were not required to predict λmax. These studies identify structural features associated with the chromophore that may explain diverged spectral sensitivities, and provide a platform for future, functionally predictive opsin modeling.

Indexed as

Amino Acid SequenceAnimalsCichlidsComputer SimulationCone OpsinsHumansLipid BilayersModels, MolecularMolecular Dynamics SimulationOpsinsOryziasPhylogenyPigmentationPoeciliaRetinal Cone Photoreceptor CellsRetinal PigmentsCone OpsinsLipid BilayersOpsinsRetinal PigmentsRod OpsinsWater

Identifiers

PMID29364888
PMCPMC5798944
OpenAlexW2785251296

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.