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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.
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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Adaptability in protein structures: structural dynamics and implications in ligand design.

Atanu Maity1, Sarmistha Majumdar, Prerna Priya

  • 1a Bioinformatics Centre, Bose Institute , P-1/12, C.I.T. Scheme VII M, Kolkata 700054 , India.

Journal of Biomolecular Structure & Dynamics
|January 18, 2014
PubMed
Summary
This summary is machine-generated.

Protein flexibility is crucial for molecular recognition and function, evolving beyond static models. Understanding this dynamics is key for therapeutic molecule design and overcoming receptor plasticity challenges.

Keywords:
computer simulationdynamicsflexibilityligand designprotein structure

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Chemistry

Background:

  • Protein structure dictates molecular recognition, but predicting function from static structures is challenging due to conformational adaptation.
  • Protein-ligand and protein-protein interactions rely on conformational flexibility, influencing biological function.
  • Traditional 'lock and key' models have evolved to 'induced fit' and 'population shift' to explain protein dynamics.

Purpose of the Study:

  • To explore the correlation between protein flexibility and function across various biological systems.
  • To highlight the importance of understanding protein dynamics for functional insights and applications.
  • To discuss computational challenges in studying protein flexibility and its implications for drug design.

Main Methods:

  • Review of existing literature and case studies demonstrating the role of protein flexibility in function.
  • Discussion of theoretical models including 'induced fit' and 'population shift'.
  • Analysis of computational methodologies for investigating protein dynamics.

Main Results:

  • Protein flexibility is intrinsically linked to molecular recognition and functional regulation.
  • Receptor plasticity presents challenges in drug design, but also opportunities for enhanced binding affinity.
  • Understanding protein dynamics is essential for accurate prediction of binding conformations.

Conclusions:

  • Protein dynamics are fundamental to understanding protein function and molecular interactions.
  • Addressing protein flexibility computationally is critical for advancing drug discovery and development.
  • Further research into protein dynamics will enable more effective therapeutic strategies.