Does it support data visualization?

Yes, the skill includes scripts for generating Michaelis-Menten plots, pH/temperature profiles, and comparative heatmaps using matplotlib and seaborn.

Do I need a BRENDA account to use this skill?

Yes, you must register at brenda-enzymes.org and provide your credentials via the BRENDA_EMAIL and BRENDA_PASSWORD environment variables for the SOAP API to function.

What information can I retrieve from BRENDA using this skill?

You can access kinetic parameters (Km, kcat, Vmax), reaction equations, substrate specificities, optimal pH and temperature, inhibitors, activators, and cofactor requirements for over 45,000 enzymes.

Can this skill help with enzyme engineering?

Absolutely. It includes functions to find thermophilic homologs and pH-stable variants, helping researchers identify enzymes suited for specific industrial or experimental conditions.

BRENDA Enzyme Database Integration

Name: BRENDA Enzyme Database Integration
Author: pur3v4d3r

bypur3v4d3r

•

数据科学与机器学习

Accesses the BRENDA database via SOAP API to retrieve kinetic parameters, reaction equations, and organism-specific enzyme data for biochemical research.

关于

This skill integrates the BRENDA (Braunschweig Enzyme Database) into Claude, providing comprehensive access to the world's most detailed enzyme information system. It allows researchers and developers to programmatically query kinetic data such as Km and kcat, retrieve stoichiometric reaction equations, and analyze optimal environmental conditions across over 45,000 enzymes. Designed for metabolic engineering and enzyme discovery, this skill streamlines the process of gathering scientific data for pathway reconstruction, kinetic modeling, and enzyme optimization studies by automating complex SOAP API interactions and data parsing.

主要功能

Provides comprehensive inhibitor, activator, and cofactor requirement data
Accesses detailed reaction equations and stoichiometry for thousands of enzymes
Supports enzyme engineering by identifying thermophilic and pH-stable homologs
Retrieves kinetic parameters including Km, kcat, and Vmax values
1 GitHub stars
Compares enzyme properties and optimal pH/temperature across different organisms

使用场景

Gathering experimental data for kinetic modeling and Michaelis-Menten visualizations
Identifying enzyme variants with specific industrial tolerances for bio-manufacturing
Reconstructing metabolic pathways and performing retrosynthetic analysis

关于

主要功能

Provides comprehensive inhibitor, activator, and cofactor requirement data
Accesses detailed reaction equations and stoichiometry for thousands of enzymes
Supports enzyme engineering by identifying thermophilic and pH-stable homologs
Retrieves kinetic parameters including Km, kcat, and Vmax values
1 GitHub stars
Compares enzyme properties and optimal pH/temperature across different organisms

使用场景

Gathering experimental data for kinetic modeling and Michaelis-Menten visualizations
Identifying enzyme variants with specific industrial tolerances for bio-manufacturing
Reconstructing metabolic pathways and performing retrosynthetic analysis