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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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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Ligand Binding Sites02:40

Ligand Binding Sites

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Conserved Binding Sites01:49

Conserved Binding Sites

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: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

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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Related Experiment Video

Updated: Jun 10, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

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

Published on: June 20, 2025

Toward a robust search method for the protein-drug docking problem.

Bashir S Sadjad1, Zsolt Zsoldos

  • 1School of Computer Science, University of Waterloo, and Simulated Biomolecular Systems, 650 Winterberry Av., Waterloo, Ontario N2V2X4, Canada. bssadjad@uwaterloo.ca

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|August 18, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces novel computational methods for drug-receptor binding prediction, enhancing structure-based drug design. The approach accurately predicts drug molecule poses, achieving an average RMS deviation of 1.06 Å in PDB complex tests.

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Protein Target Prediction and Validation of Small Molecule Compound
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Protein Target Prediction and Validation of Small Molecule Compound

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

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

Published on: June 20, 2025

Protein Target Prediction and Validation of Small Molecule Compound
10:21

Protein Target Prediction and Validation of Small Molecule Compound

Published on: February 23, 2024

Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Accurate prediction of drug-target binding modes is crucial for rational drug design.
  • Existing methods often face computational challenges in exploring binding possibilities.

Purpose of the Study:

  • To develop novel computational methods for predicting drug-receptor binding modes.
  • To improve the efficiency and accuracy of structure-based drug design.

Main Methods:

  • Analysis of the drug docking search problem from a computational perspective.
  • Development of a fast approximation scheme for rigid fragment docking with geometric guarantees.
  • Creation of a polynomial time algorithm for the matching phase of docked rigid fragments.
  • Testing the proposed method on 829 Protein Data Bank (PDB) complexes.

Main Results:

  • A fast approximation scheme for rigid fragment docking with guaranteed geometric approximation factors.
  • Translation of geometric approximation to energy approximation for scoring functions.
  • A polynomial time algorithm for fragment matching, proven optimal under specific scoring conditions.
  • Experimental validation on 829 PDB complexes showing an average RMS deviation of 1.06 Å for the closest predicted pose.

Conclusions:

  • The proposed computational methods offer a significant advancement in predicting drug-receptor binding modes.
  • The developed algorithms are efficient and accurate, applicable to other place-and-join frameworks and fragment-based de novo design.
  • The method demonstrates practical utility and high performance in predicting native binding poses.