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Related Concept Videos

Drug Discovery: Overview01:26

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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User-Friendly Quantum Mechanics: Applications for Drug Discovery.

Martin Kotev1, Laurie Sarrat1, Constantino Diaz Gonzalez2

  • 1Global Research Informatics/Cheminformatics and Drug Design, Evotec (France) SAS, Toulouse, France.

Methods in Molecular Biology (Clifton, N.J.)
|February 5, 2020
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Summary

Quantum mechanics (QM) methods offer detailed insights into receptor-ligand interactions and chemical reactions, increasingly aiding drug design and discovery for complex systems. Advances in computational power and algorithms are making QM methods standard tools in computer-aided drug design.

Keywords:
Binding affinityCADDDFTDrug designDrug discoveryFMOHit identificationHit to leadLead optimizationMolecular dynamicsProtein-ligand interactionQM/MMQSARQuantum chemistryQuantum mechanicsReaction mechanismSEQMVirtual screening

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Area of Science:

  • Computational chemistry
  • Medicinal chemistry
  • Pharmacology

Background:

  • Quantum mechanics (QM) methods offer high-fidelity descriptions of molecular interactions crucial for drug discovery.
  • Their application is expanding to complex systems, including metallo-drug interactions and enzyme mechanisms.
  • QM is vital for understanding covalent ligands, prodrugs, and generating predictive model descriptors.

Purpose of the Study:

  • To review the current landscape of quantum mechanics methods in drug design and discovery.
  • To highlight the increasing integration of QM into computer-aided drug design (CADD) workflows.
  • To present representative applications and discuss relevant software packages.

Main Methods:

  • Review of established and emerging quantum mechanics methodologies.
  • Analysis of computational approaches including density functional theory (DFT) and ab initio methods.
  • Discussion of software packages facilitating QM calculations in drug discovery.

Main Results:

  • QM methods are increasingly utilized for complex drug design challenges, such as metal-containing drugs and selective inhibitors.
  • QM enhances the development of predictive quantitative structure-activity relationship (QSAR) and quantitative structure-property relationship (QSPR) models.
  • Advancements in GPU computing and algorithms are making QM methods more accessible and efficient for CADD.

Conclusions:

  • Quantum mechanics methods are becoming indispensable tools in modern drug design and discovery.
  • The integration of QM significantly improves the accuracy and scope of computational drug design.
  • Continued advancements in computational resources and algorithms will further drive the adoption of QM in pharmaceutical research.