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Related Concept Videos

Ligand Binding Sites02:40

Ligand Binding Sites

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...
Ligand Binding Sites02:40

Ligand Binding Sites

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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A Simple Alternative to Stereotactic Injection for Brain Specific Knockdown of miRNA
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Published on: December 26, 2015

Antagomirbase- a putative antagomir database.

Sayak Ganguli1, Sanga Mitra, Abhijit Datta

  • 1DBT-Centre for Bioinformatics, Presidency University, Kolkata - 700073.

Bioinformation
|September 10, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces the Antagomir database, predicting human antagomirs against microRNAs (miRNAs). This tool aids in developing novel therapeutics for inflammatory diseases by targeting specific genes.

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Last Updated: May 29, 2026

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Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Drug Discovery

Background:

  • Accurate prediction of antagomirs against microRNAs (miRNAs) is a significant challenge.
  • Antagomirs offer potential therapeutic applications for complex inflammatory diseases.

Purpose of the Study:

  • To develop and present the Antagomir database for predicting human antagomirs against miRNAs.
  • To utilize sequence and structural parameters for antagomir design.

Main Methods:

  • Designed putative antagomirs using human miRNA datasets as templates.
  • Employed GC content and secondary structure as key design parameters.
  • Predicted the free energy of unbound antagomirs.

Main Results:

  • Developed the Antagomir database based on antagomir-miRNA heterodimers.
  • Successfully predicted a set of putative antagomirs against human miRNAs.

Conclusions:

  • The Antagomir database provides a foundation for designing antagomirs targeting cell-specific genes.
  • Further development incorporating mammalian sequences will enhance antagomir design for research applications.
  • Antagomirs represent a promising new class of therapeutics for inflammatory conditions.