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In Silico Drug Design: Non-peptide Mimetics for the Immunotherapy of Multiple Sclerosis

  • Haralambos Tzoupis
  • Theodore Tselios
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1824)

Abstract

Advances in theoretical chemistry have led to the development of various robust computational techniques employed in drug design. Pharmacophore modeling, molecular docking, and molecular dynamics (MD) simulations have been extensively applied, separately or in combination, in the design of potent molecules. The techniques involve the identification of a potential drug target (e.g., protein) and its subsequent characterization. The next step in the process comprises the development of a map describing the interaction patterns between the target molecule and its natural substrate. Once these key features are identified, it is possible to explore the map and screen large databases of molecules to identify potential drug candidates for further refinement.

Multiple sclerosis (MS) is an autoimmune disease where the immune system attacks the myelin sheath of nerve cells. The process involves the activation of encephalitogenic T cells via the formation of the trimolecular complex between the human leukocyte antigen (HLA), an immunodominant epitope of myelin proteins, and the T-cell receptor (TCR). Herein, the process for rational design and development of altered peptide ligands (APLs) and non-peptide mimetics against MS is described through the utilization of computational methods.

Key words

Pharmacophore modeling Molecular dynamics Docking Multiple sclerosis Peptide mimetics 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of ChemistryUniversity of PatrasPatrasGreece

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