Evidence map›Paper›PMID 35838851›Full record

ArticleAMB Express2022

In silico prediction and in vitro validation of the effect of pH on adhesive behaviour of the fused CsgA-MFP3 protein.

Keyvan Shahryarimorad, Atefeh Alipour, Yousof Saeedi Honar, Behrouz Abtahi, Mohammad Ali Shokrgozar, Hosein Shahsavarani

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2022. 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
0.2field-weighted citation impact, top 50% 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, 3 citations in OpenAlex.

  1. Review
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 2 institutions in 1 country.

Keyvan ShahryarimoradLaboratory of Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran, 1316943551, Iran.
Atefeh AlipourDepartment of Nanobiotechnology, Pasteur Institute of Iran, Tehran, 1316943551, Iran. a_alipour@pasteur.ac.ir.
Yousof Saeedi HonarDepartment of Biotechnology, Shahid Beheshti University, Tehran, 1983963113, Iran.
Behrouz AbtahiDepartment of Animal, Marine and Aquatic Biology and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, 1983963113, Iran.
Mohammad Ali ShokrgozarDepartment of National Cell Bank of Iran, Pasteur Institute of Iran, Tehran, 1316943551, Iran.
Hosein ShahsavaraniLaboratory of Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran, 1316943551, Iran. hosein.shahsavarani@gmail.com.ORCID http://orcid.org/0000-0002-8123-0857
Pasteur Institute of Iran · IRShahid Beheshti University · IR

Funding

Iran National Science Foundation 96016699shahid beheshti university 1399
6 · The paper itself

Abstract

Recombinant production of mussel foot proteins among marine-inspired proteinaceous adhesive materials has been attracted high attention for medical applications, due to their exceptional versatility potential of hierarchically arranged nanostructures. Various biochemical and proteinous factors such as amyloid CsgA curli protein have been used as a synergistic factor to enhance the constancy of obtained bio-adhesion but their mechanistic interactions have not yet been deeply investigated widely in different pH conditions. To this end, the present study has first sought to assess molecular simulation and prediction by using RosettaFold to predict the 3-dimensional structure of the fused CsgA subunit and the MFP3 protein followed by in vitro verification. It was developed an ensemble of quantitative structure-activity relationship models relying on simulations according to the surface area and molecular weight values of the fused proteins in acidic to basic situations using PlayMolecule (protein preparation app for MD simulations) online databases followed by molecular dynamic simulation at different pHs. It was found that acidic conditions positively affect adhesive strength throughout the chimeric structure based on comparative structure-based analyses along with those obtained in prevailing literature. Atomic force microscopy analysis was confirmed obtained in silico data which showed enhanced adhesive properties of fused protein after self-assembly in low pH conditions. In conclusion, the augmented model for reactivity predictions not only unravels the performance and explain ability of the adhesive proteins but in turn paves the way for the decision-making process for chimeric subunits modifications needed for future industrial production.

Indexed as

Augmented model predictionsBio-adhesive materialCsgADOPAMFP3Molecular simulation

Identifiers

PMID35838851
PMCPMC9287526
OpenAlexW4285593329

What OpenQuestion holds

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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 OpenQuestion graph.