Evidence map›Paper›PMID 25706742›Full record

ArticlePloS one2015

How structural and physicochemical determinants shape sequence constraints in a functional enzyme.

Luciano A Abriata, Timothy Palzkill, Matteo Dal Peraro

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  4. A look beyond the QR code of SNARE proteins.Protein science : a publication of the Protein Society · 2024
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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

3 authors.

Luciano A AbriataLaboratory for Biomolecular Modeling, School of Life Sciences, and Swiss Institute of Bioinformatics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Timothy PalzkillDepartment of Pharmacology, Baylor College of Medicine, BCM-385, Houston, Texas, United States of America.
Matteo Dal PeraroLaboratory for Biomolecular Modeling, School of Life Sciences, and Swiss Institute of Bioinformatics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Funding

BETA-LACTAMASE MUTATIONS IN ANTIBIOTIC RESISTANCER01AI032956 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI Timothy Palzkill · 1992 to 2026
$6.5M
Beta Lactamase Mutations in Antibiotic ResistanceR37AI032956 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2001 to 2010
$3.3M
Analysis of metallo-beta-lactamase sequence constraints at high resolutionR01AI106863 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2013 to 2017
$1.9M
Beta Lactamase Mutations in Antibiotic ResistanceR56AI032956 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2016 to 2016
$394k
NIAID NIH HHS AI106863NIAID NIH HHS AI32956NIAID NIH HHS R01 AI032956NIAID NIH HHS R01 AI106863NIAID NIH HHS R37 AI032956NIAID NIH HHS R56 AI032956
6 · The paper itself

Abstract

The need for interfacing structural biology and biophysics to molecular evolution is being increasingly recognized. One part of the big problem is to understand how physics and chemistry shape the sequence space available to functional proteins, while satisfying the needs of biology. Here we present a quantitative, structure-based analysis of a high-resolution map describing the tolerance to all substitutions in all positions of a functional enzyme, namely a TEM lactamase previously studied through deep sequencing of mutants growing in competition experiments with selection against ampicillin. Substitutions are rarely observed within 7 Å of the active site, a stringency that is relaxed slowly and extends up to 15-20 Å, with buried residues being especially sensitive. Substitution patterns in over one third of the residues can be quantitatively modeled by monotonic dependencies on amino acid descriptors and predictions of changes in folding stability. Amino acid volume and steric hindrance shape constraints on the protein core; hydrophobicity and solubility shape constraints on hydrophobic clusters underneath the surface, and on salt bridges and polar networks at the protein surface together with charge and hydrogen bonding capacity. Amino acid solubility, flexibility and conformational descriptors also provide additional constraints at many locations. These findings provide fundamental insights into the chemistry underlying protein evolution and design, by quantitating links between sequence and different protein traits, illuminating subtle and unexpected sequence-trait relationships and pinpointing what traits are sacrificed upon gain-of-function mutation.

Indexed as

Amino Acid Substitutionbeta-LactamasesCatalytic DomainProtein Conformationbeta-Lactamases

Identifiers

PMID25706742
PMCPMC4338278

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Registered trials

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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.