Evidence map›Paper›PMID 32019920›Full record

ArticleNature communications2020

Bridging non-overlapping reads illuminates high-order epistasis between distal protein sites in a GPCR.

Justin I Yoo, Patrick S Daugherty, Michelle A O'Malley

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Justin I YooDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Patrick S DaughertyDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Michelle A O'MalleyDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA. momalley@ucsb.edu.ORCID http://orcid.org/0000-0002-6065-8491
University of California, Santa Barbara · US

Funding

The Role of Lipid Membrane and Hydration on the Oligomerization and Function of PR and A2AR01GM116128 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI HAN, SONGI · 2015 to 2018
$1.5M
NIGMS NIH HHS R01 GM116128
6 · The paper itself

Abstract

Epistasis emerges when the effects of an amino acid depend on the identities of interacting residues. This phenomenon shapes fitness landscapes, which have the power to reveal evolutionary paths and inform evolution of desired functions. However, there is a need for easily implemented, high-throughput methods to capture epistasis particularly at distal sites. Here, we combine deep mutational scanning (DMS) with a straightforward data processing step to bridge reads in distal sites within genes (BRIDGE). We use BRIDGE, which matches non-overlapping reads to their cognate templates, to uncover prevalent epistasis within the binding pocket of a human G protein-coupled receptor (GPCR) yielding variants with 4-fold greater affinity to a target ligand. The greatest functional improvements in our screen result from distal substitutions and substitutions that are deleterious alone. Our results corroborate findings of mutational tolerance in GPCRs, even in conserved motifs, but reveal inherent constraints restricting tolerated substitutions due to epistasis.

Indexed as

Epistasis, GeneticAmino Acid MotifsBinding SitesHigh-Throughput Screening AssaysHumansLigandsMutationProtein BindingReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID32019920
PMCPMC7000732
OpenAlexW3005171475

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.