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Related Concept Videos

Allosteric Regulation01:08

Allosteric Regulation

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Allosteric regulation of enzymes occurs when the binding of an effector molecule to a site that is different from the active site causes a change in the enzymatic activity. This alternate site is called an allosteric site, and an enzyme can contain more than one of these sites. Allosteric regulation can either be positive or negative, resulting in an increase or decrease in enzyme activity. Most enzymes that display allosteric regulation are metabolic enzymes involved in the degradation or...
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Cooperative Allosteric Transitions01:58

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Structure-Activity Relationships and Drug Design01:28

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
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Allosteric Proteins-ATCase01:19

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Binding sites linkages can regulate a protein's function.  For example, enzyme activity is often regulated through a feedback mechanism where the end product of the biochemical process serves as an inhibitor.
Aspartate transcarbamoylase (ATCase) is a cytosolic enzyme that catalyzes the condensation of L-aspartate and carbamoyl phosphate to  N-carbamoyl-L-aspartate. This reaction is the first step in pyrimidine biosynthesis. UTP and CTP, the end products of the pyrimidine synthesis...
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Ligand Binding and Linkage00:49

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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Drug Discovery: Overview01:26

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Updated: May 27, 2025

Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation
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Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation

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Decoding allosteric landscapes: computational methodologies for enzyme modulation and drug discovery.

Ruidi Zhu1, Chengwei Wu1, Jinyin Zha1

  • 1Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University, School of Medicine Shanghai 200025 China jian.zhang@sjtu.edu.cn.

RSC Chemical Biology
|February 21, 2025
PubMed
Summary
This summary is machine-generated.

Computational methods are advancing the discovery of allosteric modulators for enzymes. These tools enhance specificity and reduce side effects, offering new therapeutic strategies for enzyme regulation.

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Area of Science:

  • Biochemistry and enzymology
  • Computational biology
  • Drug discovery

Background:

  • Allosteric regulation dynamically modulates enzyme activity via distal ligand binding.
  • Allosteric modulators offer enhanced specificity and reduced off-target effects compared to traditional drugs.
  • The complexity of allosteric mechanisms presents challenges for modulator discovery and design.

Purpose of the Study:

  • To review recent advancements in computational methodologies for identifying and characterizing allosteric sites in enzymes.
  • To highlight the role of computational tools in facilitating the design of selective allosteric modulators.
  • To demonstrate the practical applications of these computational approaches in drug discovery.

Main Methods:

  • Molecular dynamics (MD) simulations
  • Enhanced sampling methods
  • Normal mode analysis (NMA)
  • Evolutionary conservation analysis
  • Machine learning (ML) approaches
  • Specialized tools (PASSer, AlloReverse, AlphaFold)

Main Results:

  • Computational strategies effectively identify and characterize allosteric sites.
  • Advanced tools improve the understanding of allosteric mechanisms.
  • Case studies (SIRT6, MEK) show practical applications in drug discovery.
  • Integration of computational predictions with experimental validation is key.

Conclusions:

  • Computational methodologies are transformative for allosteric drug discovery.
  • These approaches offer innovative opportunities to regulate enzyme activity for therapeutic benefits.
  • The systematic discovery and design of allosteric modulators are becoming more feasible.