Evidence map›Paper›PMID 38833384›Full record

ArticleeLife2024

Evolutionary druggability for low-dimensional fitness landscapes toward new metrics for antimicrobial applications.

Rafael F Guerrero, Tandin Dorji, Ra'Mal M Harris, Matthew D Shoulders, C Brandon Ogbunugafor

Abstract read
In one paragraph

Article in eLife, 2024. 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. Review
  2. Article
  3. Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rafael F GuerreroDepartment of Biological Sciences, North Carolina State University, Raleigh, United States.ORCID https://orcid.org/0000-0002-8451-3609
Tandin DorjiDepartment of Mathematics and Statistics, University of Vermont, Burlington, United States.
Ra'Mal M HarrisDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0002-9537-371X
Matthew D ShouldersDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0002-6511-3431
C Brandon OgbunugaforDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0002-1581-8345

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
National Science Foundation 2142720NIAID NIH HHS R01 AI168166NIGMS NIH HHS R35 GM136354NIGMS NIH HHS R35 GM147107NIH HHS R01AI168166NIH HHS R35GM136--354NIH HHS R35GM147107
6 · The paper itself

Abstract

The term 'druggability' describes the molecular properties of drugs or targets in pharmacological interventions and is commonly used in work involving drug development for clinical applications. There are no current analogues for this notion that quantify the drug-target interaction with respect to a given target variant's sensitivity across a breadth of drugs in a panel, or a given drug's range of effectiveness across alleles of a target protein. Using data from low-dimensional empirical fitness landscapes composed of 16 β-lactamase alleles and 7 β-lactam drugs, we introduce two metrics that capture (i) the average susceptibility of an allelic variant of a drug target to any available drug in a given panel ('

Indexed as

Anti-Bacterial Agentsbeta-LactamasesAllelesbeta-LactamsEvolution, MolecularGenetic FitnessMutationAnti-Bacterial Agentsbeta-Lactamasesbeta-Lactamsdruggabilitydrug resistanceE. colievolutionary biologyevolutionary genetics

Identifiers

PMID38833384
PMCPMC11149929

What Socratic 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 Socratic graph.