Evidence map›Paper›PMID 32211456›Full record

ArticleTechnology

A protein interaction free energy model based on amino acid residue contributions: Assessment of point mutation stability of T4 lysozyme.

Lawrence J Williams, Brian J Schendt, Zachary R Fritz, Yonatan Attali, Robert H Lavroff, Martin L Yarmush

Open access · greenAbstract read
In one paragraph

Article in Technology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Lawrence J WilliamsDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Rd., Piscataway, NJ 08854, USA.
Brian J SchendtDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Rd., Piscataway, NJ 08854, USA.
Zachary R FritzDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, 599 Taylor Road, Piscataway, NJ 08854, USA.
Yonatan AttaliDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Rd., Piscataway, NJ 08854, USA.
Robert H LavroffDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Rd., Piscataway, NJ 08854, USA.
Martin L YarmushDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, 599 Taylor Road, Piscataway, NJ 08854, USA.
Rutgers, The State University of New Jersey · US

Funding

Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
UMDNJ TRAINING GRANT IN BIOTECHNOLOGYT32GM008339 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI YARMUSH, MARTIN L · 1989 to 2019
$6.1M
Portable automated device for rapid venous blood draws and point of care diagnostic analysisR01EB020036 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI YARMUSH, MARTIN L · 2015 to 2018
$2.7M
NIBIB NIH HHS P41 EB002503NIBIB NIH HHS R01 EB020036NIGMS NIH HHS T32 GM008339
6 · The paper itself

Abstract

Here we present a model to estimate the interaction free energy contribution of each amino acid residue of a given protein. Protein interaction energy is described in terms of per-residue interaction factors, μ. Multibody interactions are implicitly captured in μ through the combination of amino acid terms (γ) guided by local conformation indices (σ). The model enables construction of an interaction factor heat map for a protein in a given fold, allows prima facie assessment of the degree of residue-residue interaction, and facilitates a qualitative and quantitative evaluation of protein association properties. The model was used to compute thermal stability of T4 bacteriophage lysozyme mutants across seven sites. Qualitative assessment of mutational effects provides a straightforward rationale regarding whether a particular site primarily perturbs native or non-native states, or both. The presented model was found to be in good agreement with experimental mutational data (

Indexed as

Coarse-Grain Protein ModelPeptide EngineeringProtein EngineeringProtein Interaction Free EnergyProtein Thermal Stability

Identifiers

PMID32211456
PMCPMC7093156
OpenAlexW2941140708

What OpenQuestion holds

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LicenceTDM
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.