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Related Concept Videos

Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes a mild...
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes a mild...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
The experimenter can then plot the initial reaction rate or velocity (Vo) of a given trial against the substrate concentration ([S]) to obtain a graph of the reaction properties. For many enzymatic reactions involving a...
Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...

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Related Experiment Video

Updated: Jun 30, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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Published on: October 13, 2023

Decoding enzymatic landscapes: a knowledge graph-enhanced large language model framework for microbial enzyme

Qichang Tong1,2, Lincong Zhou3, Xu Liu2

  • 1College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, China.

Abiotech
|June 29, 2026
PubMed
Summary

MEPAM, a novel AI system, extracts microbial enzyme data from research papers with high accuracy. This tool aids biotechnological research by providing reliable insights for enzyme production and catalytic activity exploration.

Keywords:
Enzyme production and catalysisKnowledge graph–enhanced LLMsPrompt engineeringQuestion-answering systemRetrieval-augmented generation

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GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Enzyme Engineering

Background:

  • Extracting reliable experimental data for microbial enzyme production and catalysis is challenging.
  • Existing manual and automated methods face significant obstacles in data acquisition.

Purpose of the Study:

  • To develop MEPAM, a question-answering system for microbial enzyme production and catalytic activity.
  • To create a structured knowledge graph from scientific literature for enhanced data retrieval.

Main Methods:

  • Trained machine learning models (>0.98 accuracy) to identify relevant scientific articles.
  • Utilized DeepSeek-V3 with zero-shot learning for ontology-driven knowledge representation.
  • Constructed a knowledge graph by extracting 12,434 entities and 35,918 relations (0.78 accuracy).
  • Developed MEPAM using retrieval-augmented generation and prompt engineering.

Main Results:

  • Identified 11,068 high-quality articles from Web of Science.
  • Achieved higher extraction accuracy compared to few-shot and other machine learning methods.
  • Demonstrated MEPAM's utility by extracting a comprehensive cellulase network.
  • MEPAM showed superior performance over GPT-4o, with higher accuracy (0.86 vs. 0.52) and reduced hallucinations.

Conclusions:

  • MEPAM provides context-rich, verifiable insights into microbial enzymatic systems.
  • The framework bridges predictive modeling with experimental validation.
  • Facilitates exploration and understanding of microbial enzymatic systems for biotechnological applications.