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Related Experiment Video

Updated: Jun 25, 2025

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

iCEED: Integrated customized extraction of enzyme data.

Rajiv Karbhal¹, Sangeeta Sawant¹, Urmila Kulkarni-Kale^1,2

¹Bioinformatics Centre, Savitribai Phule Pune University, Pune 411007, India.

Journal of Bioinformatics and Computational Biology

|May 23, 2024

Summary

This summary is machine-generated.

Integrated Customized Extraction of Enzyme Data (iCEED) offers organism-specific data extraction from enzyme databases. This tool simplifies data curation for researchers, enhancing enzyme data analysis and discovery.

Keywords:

Enzyme biodata curation bioinformatics data curation data extraction data visualization databases pathway

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Area of Science:

Biochemistry
Bioinformatics
Structural Biology

Background:

Enzyme data is crucial for understanding cellular processes but is fragmented across multiple databases.
Current enzyme databases lack organism-specific data extraction, requiring users to develop custom scripts for data retrieval.
Efficient access to curated enzyme datasets is essential for downstream analysis and research.

Purpose of the Study:

To develop an integrated portal, Integrated Customized Extraction of Enzyme Data (iCEED), for organism-specific enzyme data extraction.
To provide user-friendly utilities for querying and downloading customized enzyme datasets from seven major databases.
To integrate a feature for visualizing functional elements on enzyme 3D structures.

Main Methods:

Development of a web-based interface with dropdown menus and search functionalities for data submission.
Implementation of organism-specific data extraction utilities for seven common enzyme databases.
Integration of a 3D structure visualization tool for mapping enzyme features.

Main Results:

iCEED provides an integrated platform for accessing and extracting customized enzyme data subsets.
The system supports organism-specific data retrieval, simplifying data curation for researchers.
An integrated feature visualization utility aids in understanding enzyme structure-function relationships.

Conclusions:

iCEED streamlines the process of creating curated enzyme datasets for diverse research applications.
The tool facilitates easier data analysis, knowledge discovery, and educational use in biochemistry and related fields.
iCEED enhances accessibility to enzyme information, supporting biochemists, biotechnologists, and computational biologists.