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Related Concept Videos

Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
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Protein-Drug Binding: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

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Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
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The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Riboswitches

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Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
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RLDOCK method for predicting RNA-small molecule binding modes.

Yangwei Jiang1, Shi-Jie Chen1

  • 1Department of Physics, MU Institute for Data Science and Informatics, Department of Biochemistry, University of Missouri, Columbia, MO 65211, USA.

Methods (San Diego, Calif.)
|February 7, 2021
PubMed
Summary
This summary is machine-generated.

RLDOCK is a new computational tool that accurately predicts RNA-ligand interactions. This method aids in the rational design of RNA-targeted drugs by modeling binding sites and poses for drug discovery.

Keywords:
Flexible dockingRNA-ligand interactionRNA-targeted ligandScoring function

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Drug Discovery

Background:

  • RNA molecules are crucial for gene expression and regulation.
  • Their complex structures make them attractive targets for therapeutic drug development.
  • Accurate modeling of RNA-ligand interactions is essential for rational drug design.

Purpose of the Study:

  • To present a detailed computational procedure for implementing the RLDOCK method.
  • To illustrate the practical application of RLDOCK for predicting RNA-ligand interactions.
  • To provide a freely accessible tool for RNA-targeted drug design.

Main Methods:

  • RLDOCK utilizes an iterative multiscale sampling and search algorithm.
  • It employs energy-based evaluation for accurate ligand pose prediction.
  • The method was demonstrated using Flavin mononucleotide (FMN) docking to an F. nucleatum FMN riboswitch.

Main Results:

  • RLDOCK enables efficient and accurate predictions of RNA-ligand binding sites and poses.
  • The study provides a clear computational protocol for RLDOCK implementation.
  • The RLDOCK software is publicly available for research use.

Conclusions:

  • RLDOCK is a valuable computational tool for predicting RNA-ligand interactions.
  • The method facilitates the rational design of novel RNA-targeted therapeutics.
  • The accessibility of RLDOCK promotes advancements in RNA-based drug discovery.