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Conserved Binding Sites01:49

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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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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Related Experiment Video

Updated: Jul 13, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Enhancer target prediction: state-of-the-art approaches and future prospects.

Ramzan Umarov1, Chung-Chau Hon1

  • 1RIKEN Centre for Integrative Medical Sciences, Yokohama RIKEN Institute, Yokohama, Japan.

Biochemical Society Transactions
|October 13, 2023
PubMed
Summary
This summary is machine-generated.

Predicting enhancer-gene interactions is key to understanding genetic disease predispositions. Computational methods offer a valuable alternative to laborious experimental validation for identifying these crucial genomic regulatory elements.

Keywords:
enhancergenomicsmachine learningtranscription

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Enhancers are regulatory genomic regions crucial for gene transcription, often located distantly from their target genes.
  • Enhancers are significantly enriched in disease-associated genetic variants, making enhancer-gene interaction studies vital for understanding genetic disease predispositions.
  • Experimental validation of enhancer targets is time-consuming and resource-intensive.

Conclusions:

  • Computational methods are essential for efficient enhancer-gene interaction prediction.
  • The integration of diverse data types (genomic, epigenomic, activity) improves prediction accuracy.
  • Future research should focus on leveraging new experimental data and advanced computational models to refine enhancer target prediction for disease gene discovery.