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Related Concept Videos

Synthetic Biology02:55

Synthetic Biology

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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...
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Multi-Step Reactions02:31

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Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
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Cellular processes such as building and breaking down complex molecules occur through stepwise chemical reactions. Some of these chemical reactions are spontaneous and release energy, whereas others require energy to proceed. Cells often couple the energy-releasing reaction with the energy-requiring one to carry out important cell functions. 
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Synthesis and decomposition are two types of redox reactions. Synthesis means to make something, whereas decomposition means to break something. The reactions are accompanied by chemical and energy changes. 
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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Equilibrium calculations for systems involving multiple equilibria are often complex. For example, to calculate the solubility of a sparingly soluble salt in an aqueous solution in the presence of a common ion, one must consider all the equilibria in this solution. Calculations for these systems can be complicated and tedious, so a systematic approach with a series of steps is often helpful. The process is detailed below.
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Related Experiment Video

Updated: Jun 15, 2025

A Web Tool for Generating High Quality Machine-readable Biological Pathways
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From reactants to products: computational methods for biosynthetic pathway design.

Shaozhen Ding1, Dongliang Liu1, Yu Tian1

  • 1Department of Chemical and Biomolecular Engineering, School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.

Synthetic and Systems Biotechnology
|June 13, 2025
PubMed
Summary
This summary is machine-generated.

Designing biosynthetic pathways for synthetic biology is complex. This review covers computational tools for pathway design, including biological data, retrosynthesis, and enzyme engineering, to improve efficiency and accuracy.

Keywords:
Biological big-dataEnzyme engineeringMethods of retrosynthetic analysis

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Area of Science:

  • Synthetic biology
  • Metabolic engineering
  • Biotechnology

Background:

  • Synthetic biology aims to produce valuable compounds using enzymatic pathways.
  • Manual design of biosynthetic pathways is challenging and time-consuming.
  • Computational approaches have advanced pathway design significantly.

Purpose of the Study:

  • To review key computational tools for biosynthetic pathway design.
  • To highlight the integration of biological data, retrosynthesis, and enzyme engineering.
  • To enhance the efficiency and accuracy of pathway design in synthetic biology.

Main Methods:

  • Review of biological big data resources (compounds, reactions, enzymes).
  • Analysis of retrosynthesis methods for pathway prediction.
  • Discussion of enzyme engineering techniques using data mining.

Main Results:

  • Identification of key computational tools for pathway design.
  • Demonstration of how multi-dimensional data aids pathway prediction.
  • Highlighting the role of data mining in enzyme discovery and design.

Conclusions:

  • Integrating biological big data, retrosynthesis, and enzyme engineering improves pathway design.
  • Computational tools are essential for efficient and accurate biosynthetic pathway construction.
  • Advances in these areas accelerate the production of value-added compounds in synthetic biology.