Evidence map›Paper›PMID 31095809›Full record

ArticleProtein science : a publication of the Protein Society2019

Chimeric dihydrofolate reductases display properties of modularity and biophysical diversity.

João V Rodrigues, C Brandon Ogbunugafor, Daniel L Hartl, Eugene I Shakhnovich

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2019. 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
0.5field-weighted citation impact, top 27% 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, 3 citations in OpenAlex.

  1. Article
  2. Relevance of Higher-Order Epistasis in Drug Resistance.Molecular biology and evolution · 2021
    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

4 authors at 4 institutions in 1 country.

João V RodriguesDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts.
C Brandon OgbunugaforDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island.
Daniel L HartlDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts.
Brown University · USEvolutionary Genomics (United States) · USHarvard University · USHarvard University Press · US

Funding

Study of Biological Evolution of Structure and Function in ProteinsR01GM068670 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2004 to 2020
$7.0M
Novel Genetic Mechanism of Artemisinin Resistance for MalariaR01AI099105 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HARTL, DANIEL L, WIRTH, DYANN F · 2013 to 2021
$5.4M
NIAID NIH HHS R01 AI099105NIGMS NIH HHS R01 GM068670NIH HHS 5R01GM068670NIH HHS R01AI099105
6 · The paper itself

Abstract

While reverse genetics and functional genomics have long affirmed the role of individual mutations in determining protein function, there have been fewer studies addressing how large-scale changes in protein sequences, such as in entire modular segments, influence protein function and evolution. Given how recombination can reassort protein sequences, these types of changes may play an underappreciated role in how novel protein functions evolve in nature. Such studies could aid our understanding of whether certain organismal phenotypes related to protein function-such as growth in the presence or absence of an antibiotic-are robust with respect to the identity of certain modular segments. In this study, we combine molecular genetics with biochemical and biophysical methods to gain a better understanding of protein modularity in dihydrofolate reductase (DHFR), an enzyme target of antibiotics also widely used as a model for protein evolution. We replace an integral α-helical segment of Escherichia coli DHFR with segments from a number of different organisms (many nonmicrobial) and examine how these chimeric enzymes affect organismal phenotypes (e.g., resistance to an antibiotic) as well as biophysical properties of the enzyme (e.g., thermostability). We find that organismal phenotypes and enzyme properties are highly sensitive to the identity of DHFR modules, and that this chimeric approach can create enzymes with diverse biophysical characteristics.

Indexed as

BacteriaBacterial Physiological PhenomenaBiodiversityHumansKineticsPlasmodium falciparumSaccharomyces cerevisiaeTetrahydrofolate DehydrogenaseTetrahydrofolate Dehydrogenaseantibiotic resistancechimeric enzymesmodularityprotein evolution

Identifiers

PMID31095809
PMCPMC7663999
OpenAlexW2945243981

What OpenQuestion holds

Textmetadata
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.