Evidence map›Paper›PMID 38837788›Full record

ArticleDatabase : the journal of biological databases and curation2024

MechanoProDB: a web-based database for exploring the mechanical properties of proteins.

Ismahene Mesbah, Bianca Habermann, Felix Rico

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Single-Molecule Force Spectroscopy: Experiments, Analysis, and Simulations.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. MechanoBase: a comprehensive database for the mechanics of tissues and cells.Database : the journal of biological databases and curation · 2024
    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

3 authors.

Ismahene MesbahAix Marseille Univ, INSERM, DyNaMo, Turing Center of Living Systems (CENTURI), Marseille 13009, France.ORCID 0009-0002-8268-5826
Bianca HabermannAix Marseille Univ, CNRS, IBDM UMR7288, Turing Center of Living Systems (CENTURI), Marseille 13009, France.ORCID 0000-0002-2457-7504
Felix RicoAix Marseille Univ, INSERM, DyNaMo, Turing Center of Living Systems (CENTURI), Marseille 13009, France.ORCID 0000-0002-7757-8340

Funding

French National Research Agency ANR-16-CONV-0001H2020 European Research Council 772257Human Frontiers Science Program RGP0056/2018
6 · The paper itself

Abstract

The mechanical stability of proteins is crucial for biological processes. To understand the mechanical functions of proteins, it is important to know the protein structure and mechanical properties. Protein mechanics is usually investigated through force spectroscopy experiments and simulations that probe the forces required to unfold the protein of interest. While there is a wealth of data in the literature on force spectroscopy experiments and steered molecular dynamics simulations of forced protein unfolding, this information is spread and difficult to access by non-experts. Here, we introduce MechanoProDB, a novel web-based database resource for collecting and mining data obtained from experimental and computational works. MechanoProDB provides a curated repository for a wide range of proteins, including muscle proteins, adhesion molecules and membrane proteins. The database incorporates relevant parameters that provide insights into the mechanical stability of proteins and their conformational stability such as the unfolding forces, energy landscape parameters and contour lengths of unfolding steps. Additionally, it provides intuitive annotations of the unfolding pathways of each protein, allowing users to explore the individual steps during mechanical unfolding. The user-friendly interface of MechanoProDB allows researchers to efficiently navigate, search and download data pertaining to specific protein folds or experimental conditions. Users can visualize protein structures using interactive tools integrated within the database, such as Mol*, and plot available data through integrated plotting tools. To ensure data quality and reliability, we have carefully manually verified and curated the data currently available on MechanoProDB. Furthermore, the database also features an interface that enables users to contribute new data and annotations, promoting community-driven comprehensiveness. The freely available MechanoProDB aims to streamline and accelerate research in the field of mechanobiology and biophysics by offering a unique platform for data sharing and analysis. MechanoProDB is freely available at https://mechanoprodb.ibdm.univ-amu.fr.

Indexed as

Databases, ProteinInternetProteinsProtein UnfoldingUser-Computer InterfaceProteins

Identifiers

PMID38837788
PMCPMC11152175

What OpenQuestion holds

Textmetadata
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.