Evidence map›Paper›PMID 32086513›Full record

ArticleProtein engineering, design & selection : PEDS2019

Molecular dynamics simulations suggest stabilizing mutations in a de novo designed α/β protein.

Matthew Gill, Michelle E McCully

Open access · bronzeAbstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Article
  6. bioRxiv : the preprint server for biology · 2023
    Article
  7. The stability and dynamics of computationally designed proteins.Protein engineering, design & selection : PEDS · 2022
    Review
  8. 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

2 authors at 1 institution in 1 country.

Matthew GillDepartment of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Michelle E McCullyDepartment of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Santa Clara University · US

Funding

The Balance Between Stability and Function in Naturally Occurring and Engineered ProteinsR15GM134439 · NIGMS · SANTA CLARA UNIVERSITY · PI MCCULLY, MICHELLE E · 2019 to 2022
$466k
NIGMS NIH HHS R15 GM134439
6 · The paper itself

Abstract

Designing functional proteins that can withstand extreme heat is beneficial for industrial and protein therapeutic applications. Thus, elucidating the atomic-level determinants of thermostability is a major interest for rational protein design. To that end, we compared the structure and dynamics of a set of previously designed, thermostable proteins based on the activation domain of human procarboxypeptidase A2 (AYEwt). The mutations in these designed proteins were intended to increase hydrophobic core packing and inter-secondary-structure interactions. To evaluate whether these design strategies were successfully deployed, we performed all-atom, explicit-solvent molecular dynamics (MD) simulations of AYEwt and three designed variants at both 25 and 100°C. Our MD simulations agreed with the relative experimental stabilities of the designs based on their secondary structure content, Cα root-mean-square deviation/fluctuation, and buried-residue solvent accessible surface area. Using a contact analysis, we found that the designs stabilize inter-secondary structure interactions and buried hydrophobic surface area, as intended. Based on our analysis, we designed three additional variants to test the role of helix stabilization, core packing, and a Phe → Met mutation on thermostability. We performed the additional MD simulations and analysis on these variants, and these data supported our predictions.

Indexed as

Molecular Dynamics SimulationMutationProtein EngineeringAmino Acid SequenceEnzyme StabilityPeptide HydrolasesProtein DomainsProtein StabilityPeptide Hydrolasesmolecular dynamicsprotein designprotein thermostability

Identifiers

PMID32086513
PMCPMC7052480
OpenAlexW3007586377

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.