Evidence map›Paper›PMID 38115433›Full record

ArticlePhysical review. E2023

Epistasis and pleiotropy shape biophysical protein subspaces associated with drug resistance.

C Brandon Ogbunugafor, Rafael F Guerrero, Miles D Miller-Dickson, Eugene I Shakhnovich, Matthew D Shoulders

Abstract read
In one paragraph

Article in Physical review. E, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

C Brandon OgbunugaforDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA.
Rafael F GuerreroDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Miles D Miller-DicksonDepartment of Electrical Engineering, Brown University, Rhode Island, USA.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, USA.
Matthew D ShouldersDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Defining the Interplay Between Viral Adaptation and Host ProteostasisR01AI168166 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Matthew Donald Shoulders · 2022 to 2026
$2.9M
Leveraging Next-Generation Directed Evolution Platforms and Chemical Control of Proteostasis to Deliver Robust Biotechnologies and Illuminate Roles of Chaperone Networks in Protein EvolutionR35GM136354 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHOULDERS, MATTHEW DONALD · 2020 to 2024
$2.1M
Computational tools and quantitative analyses of genome structure evolutionR35GM147107 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Rafael F Guerrero · 2022 to 2026
$1.8M
NIAID NIH HHS R01 AI168166NIGMS NIH HHS R35 GM136354NIGMS NIH HHS R35 GM147107
6 · The paper itself

Abstract

Protein space is a rich analogy for genotype-phenotype maps, where amino acid sequence is organized into a high-dimensional space that highlights the connectivity between protein variants. It is a useful abstraction for understanding the process of evolution, and for efforts to engineer proteins towards desirable phenotypes. Few mentions of protein space consider how protein phenotypes can be described in terms of their biophysical components, nor do they rigorously interrogate how forces like epistasis-describing the nonlinear interaction between mutations and their phenotypic consequences-manifest across these components. In this study, we deconstruct a low-dimensional protein space of a bacterial enzyme (dihydrofolate reductase; DHFR) into "subspaces" corresponding to a set of kinetic and thermodynamic traits [k_{cat}, K_{M}, K_{i}, and T_{m} (melting temperature)]. We then examine how combinations of three mutations (eight alleles in total) display pleiotropy, or unique effects on individual subspace traits. We examine protein spaces across three orthologous DHFR enzymes (Escherichia coli, Listeria grayi, and Chlamydia muridarum), adding a genotypic context dimension through which epistasis occurs across subspaces. In doing so, we reveal that protein space is a deceptively complex notion, and that future applications to bioengineering should consider how interactions between amino acid substitutions manifest across different phenotypic subspaces.

Indexed as

Epistasis, GeneticEscherichia coliDrug ResistanceMutationPhenotypeTetrahydrofolate DehydrogenaseTetrahydrofolate Dehydrogenase

Identifiers

PMID38115433
PMCPMC10935598

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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.