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Conserved Binding Sites01:49

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Related Experiment Video

Updated: Jun 29, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

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HIPPO: HIstogram-based Pseudo-POtential for scoring protein-ssRNA fragment-based docking poses.

Anna Kravchenko1, Sjoerd Jacob de Vries1, Malika Smaïl-Tabbone1

  • 1Université de Lorraine, CNRS, Inria, LORIA, 54000, Nancy, France.

BMC Bioinformatics
|March 27, 2024
PubMed
Summary

HIPPO, a new scoring potential, enhances the structural modeling of RNA-Recognition motif (RRM) and single-stranded RNA (ssRNA) interactions. This method improves upon existing techniques, making RRM-ssRNA complex prediction more accurate.

Keywords:
Fragment-based dockingProtein-ssRNA dockingRRM-ssRNA dockingScoring function

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Area of Science:

  • Structural biology
  • Computational biology
  • Bioinformatics

Background:

  • RNA-Recognition motif (RRM) domains are crucial for binding single-stranded RNA (ssRNA) and are found in ~2% of the human genome.
  • Studying RRM-ssRNA interactions is challenging due to ssRNA flexibility, limiting structural analysis.
  • Current methods like ssRNA'TTRACT use ATTRACT, but its parameters are outdated and not ssRNA-specific.

Purpose of the Study:

  • To develop an enhanced scoring potential for predicting the 3D structure of RRM-ssRNA complexes.
  • To improve upon the accuracy and efficiency of existing ssRNA modeling techniques.

Main Methods:

  • Developed HIPPO, a composite scoring potential derived from contact frequencies in docking models.
  • HIPPO integrates four distinct potentials, each trained on protein-trinucleotide docking decoys.
  • Scoring involves evaluating contact distances between RNA-protein coarse-grained beads based on frequency in correct vs. incorrect poses.

Main Results:

  • HIPPO demonstrated a threefold or higher enrichment for half of the fragments in a benchmark of 57 RRM-ssRNA complexes.
  • This represents a significant improvement over the ATTRACT scoring function, which achieved this enrichment for only a quarter of fragments.
  • HIPPO drastically improved the likelihood of very high enrichment (12-fold or higher), crucial for modeling entire ssRNA chains.

Conclusions:

  • HIPPO advances the state-of-the-art in RRM-ssRNA structural modeling.
  • The approach shows potential for extension to other protein-nucleic acid interactions.
  • Further research is needed to optimize HIPPO for direct practical application in modeling complete ssRNA chains.