Evidence map›Paper›PMID 31342597›Full record

ArticleProtein science : a publication of the Protein Society2019

Experimental evaluation of single-domain antibodies predicted by molecular dynamics simulations to have elevated thermal stability.

Dan Zabetakis, Lisa C Shriver-Lake, Mark A Olson, Ellen R Goldman, George P Anderson

Open access · greenAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. General Trends of theInternational journal of molecular sciences · 2023
    Article
  6. Application Progress of the Single Domain Antibody in Medicine.International journal of molecular sciences · 2023
    Review
  7. Article
  8. VInternational journal of molecular sciences · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. 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

5 authors at 2 institutions in 1 country.

Dan ZabetakisCenter for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia.
Lisa C Shriver-LakeCenter for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia.
Mark A OlsonSystems and Structural Biology Division, USAMRIID, Frederick, Maryland.
Ellen R GoldmanCenter for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia.
George P AndersonCenter for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia.ORCID 0000-0001-7545-9893
United States Naval Research Laboratory · USUnited States Army Medical Research Institute of Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently Bekker et al. [Bekker G-J et al. Protein Sci. 2019;28:429-438.] described a computational strategy of applying molecular-dynamics simulations to estimate the relative stabilities of single-domain antibodies, and utilized their method to design changes with the aim of increasing the stability of a single-domain antibody with a known crystal structure. The structure from which they generated potentially stabilizing mutations is an anti-cholera toxin single domain antibody selected from a naïve library which has relatively low thermal stability, reflected by a melting point of 48°C. Their work was purely theoretical, so to examine their predictions, we prepared the parental and predicted stabilizing mutant single domain antibodies and examined their thermal stability, ability to refold and affinity. We found that the mutation that improved stability the most (~7°C) was one which changed an amino acid in CDR1 from an asparagine to an aspartic acid. This change unfortunately was also accompanied by a reduction in affinity. Thus, while their modeling did appear to successfully predict stabilizing mutations, introducing mutations in the binding regions is problematic. Of further interest, the mutations selected via their high temperature simulations, did improve refolding, suggesting that they were successful in stabilizing the structure at high temperatures and thereby decrease aggregation. Our result should permit them to reassess and refine their model and may one day lead to a usefulin silico approach to protein stabilization.

Indexed as

Molecular Dynamics SimulationTemperatureModels, MolecularMutationProtein AggregatesProtein StabilitySingle-Domain AntibodiesProtein AggregatesSingle-Domain Antibodiesmolecular dynamics simulationsprotein stabilizationsingle-domain antibodythermal stability

Identifiers

PMID31342597
PMCPMC6739806
OpenAlexW2963186362

What OpenQuestion holds

Textmetadata
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.