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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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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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Related Experiment Video

Updated: Oct 21, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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NLDock: a Fast Nucleic Acid-Ligand Docking Algorithm for Modeling RNA/DNA-Ligand Complexes.

Yuyu Feng1, Keqiong Zhang1, Qilong Wu1

  • 1School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China.

Journal of Chemical Information and Modeling
|September 1, 2021
PubMed
Summary

A new computational tool, NLDock, accurately predicts nucleic acid-ligand interactions, crucial for drug development. This fast algorithm outperforms existing methods in binding mode predictions, aiding therapeutic interventions.

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Area of Science:

  • Computational biology
  • Structural biology
  • Drug discovery

Background:

  • Nucleic acid-ligand interactions are vital for cellular processes like gene regulation.
  • Nucleic acids, particularly RNAs, are increasingly important drug targets.
  • Determining the structure of nucleic acid-ligand complexes is key for understanding function and developing therapies.

Purpose of the Study:

  • To develop a fast and accurate computational tool for nucleic acid-ligand docking.
  • To address the limited availability of docking programs for nucleic acid-ligand interactions.

Main Methods:

  • Developed NLDock by integrating the ITScoreNL scoring function into a modified MDock program.
  • Evaluated NLDock on four test sets and compared its performance against five state-of-the-art docking algorithms (AutoDock, DOCK 6, rDock, GOLD, Glide).

Main Results:

  • NLDock demonstrated superior performance in binding mode predictions compared to other algorithms.
  • Achieved success rates of 73% (local rigid), 36% (local flexible), and 32% (global flexible) on a 77-complex test set.
  • NLDock is computationally efficient, with average docking times of 0.97 min (local flexible) and 2.08 min (global flexible).

Conclusions:

  • NLDock offers high accuracy and computational efficiency for nucleic acid-ligand docking.
  • The algorithm shows significant promise for advancing drug discovery by facilitating structural determination of crucial molecular complexes.