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The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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Updated: Jun 6, 2026

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
07:44

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Published on: June 8, 2020

Preparing molecular interaction data for publication.

Sandra Orchard1, Henning Hermjakob

  • 1EMBL Outstation, European Bioinformatics Institute (EBI), Cambridge, UK.

Methods in Molecular Biology (Clifton, N.J.)
|November 18, 2010
PubMed
Summary
This summary is machine-generated.

Journals increasingly require data submission to public repositories for accessibility and reanalysis. This guide covers preparing and submitting both large- and small-scale molecular interaction data for publication.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Scientific Publishing

Background:

  • Journals increasingly mandate data submission to public repositories.
  • Molecular interaction databases are central to storing large-scale datasets.
  • Small-scale interaction data curation is shifting from literature to direct deposition.

Purpose of the Study:

  • To guide researchers in preparing molecular interaction data for publication.
  • To outline various data submission options for journals.
  • To facilitate the integration of data deposition into the publication workflow.

Main Methods:

  • Discusses preparation strategies for large-scale interaction datasets.
  • Explains curation and deposition processes for small-scale interaction data.
  • Reviews available public repositories for molecular interaction data.

Main Results:

  • Researchers can access data in formats suitable for display and reanalysis.
  • Data deposition is becoming an integral part of the scientific publication process.
  • A range of submission options are available for different data types.

Conclusions:

  • Effective data preparation and submission are crucial for modern scientific publishing.
  • Public repositories enhance data accessibility and reusability for the scientific community.
  • Adopting data deposition practices supports transparent and reproducible research.