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DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options
Sushmita Basu1, Bi Zhao2, Bálint Biró1,3
1Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
Nucleic Acids Research
|November 7, 2023
Summary
The expanded DescribePROT database now offers enhanced protein structure and function data, including experimental information and improved accessibility for diverse biological research. This resource aids in understanding protein roles and disease mechanisms.
Area of Science:
- Structural Biology
- Bioinformatics
- Computational Biology
Background:
- The DescribePROT database provides amino acid-level descriptors for protein structures and functions.
- Previous versions were limited in scope and data types.
Purpose of the Study:
- To report the substantial expansion and upgrade of the DescribePROT database.
- To enhance the utility of DescribePROT for research in protein science and disease mechanisms.
Main Methods:
- Integrated experimental structural data alongside predicted descriptors.
- Expanded coverage to 273 reference proteomes using 11 predictive tools.
- Improved data download options and upgraded graphical user interface.
Main Results:
- DescribePROT now includes 19 structural and functional descriptors.
- The database offers enhanced data size, scope, and quality.
- New features facilitate versatile data searching, interaction, and downloading.
Conclusions:
- The updated DescribePROT database is a valuable resource for protein structure-function investigations.
- Its comprehensive annotations support research in disease mechanisms and therapeutic development.
- The freely accessible resource is enhanced for broader scientific application.
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