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ProtaBank: A repository for protein design and engineering data.

Connie Y Wang1, Paul M Chang1, Marie L Ary1

  • 1Protabit LLC, 129 N. Hill Avenue, Suite 102, Pasadena, California, 91106.

Protein Science : a Publication of the Protein Society
|March 26, 2018
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Summary
This summary is machine-generated.

ProtaBank is a new database for protein design and engineering data. It offers tools for analysis and sharing, supporting protein engineering research and discovery.

Keywords:
data resourcedata setsprotein designprotein engineeringprotein mutantsprotein stabilityrelational database

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Protein design and engineering generate vast amounts of complex data.
  • Existing data repositories lack standardized formats for mutational data comparison.
  • Efficient data sharing and analysis are crucial for advancing protein engineering.

Purpose of the Study:

  • To introduce ProtaBank, a comprehensive database for protein design and engineering data.
  • To provide a standardized format for describing and comparing protein mutational data.
  • To offer tools for data analysis, visualization, and discovery in protein engineering.

Main Methods:

  • Development of a actively maintained and updated database (ProtaBank).
  • Implementation of a standardized data format for protein sequences and experimental data.
  • Creation of a user-friendly web interface and programming layer for data deposition and querying.
  • Integration of analysis and visualization tools for data exploration.

Main Results:

  • ProtaBank provides a robust platform for storing, querying, and analyzing protein engineering data.
  • The standardized format facilitates comparison of mutational data across diverse datasets.
  • Analysis and visualization tools aid in guiding future protein designs and benchmarking predictive models.

Conclusions:

  • ProtaBank serves as a valuable resource for the protein engineering community.
  • It enhances data accessibility, searchability, and correlation analysis.
  • The database encourages data contribution to foster collaborative research and accelerate discovery.