Biodiversity-Driven Enzyme Research

From nature's
diversity to
deployable science.

EnzymeBase is a research platform connecting enzyme discovery from local tropical biodiversity with computational tools and real-world biotechnology applications.

The Platform

Four integrated layers,
one cohesive ecosystem

EnzymeBase is not a single device or experiment. It is a knowledge infrastructure — each layer building on the last, designed to scale from lab discovery to field application.

01
Enzyme Discovery Sourcing from the wild
Systematic isolation and characterization of enzymes from tropical plants, soil microbes, and endophytes — with a focus on oxidoreductases relevant to bioactive compound detection. Outputs a living, structured local enzyme library with kinetic data including Km, Vmax, stability, and substrate specificity.
oxidoreductases laccase PPO kinetics
02
Enzyme Informatics Computing the fit
Computational mapping of enzyme–substrate interactions using structural docking and sequence-function analysis. Machine learning models score candidate enzymes before wet-lab experiments — making discovery faster and more targeted.
AutoDock UniProt BRENDA ML scoring
03
System Modeling Understanding the context
Integration of enzymes into metabolic and biosynthetic pathways. Flux Balance Analysis and KEGG-based pathway reconstruction reveal how each enzyme functions within a living system — guiding rational engineering decisions.
FBA KEGG MetaCyc pathway mapping
04
Application Layer Science that ships
Translation of enzymatic knowledge into deployable technologies — starting with electrochemical biosensors for herbal product quality control, and extending toward biocatalysis systems and natural product innovation.
biosensors biocatalysis NP innovation QC tools

Get Involved

Collaborate, contribute,
or follow our progress.

EnzymeBase is in its earliest stage. We're looking for collaborators from academia, industry, and the open-science community who believe biodiversity can be an engine for biotechnology.