Molecular Recognition in Pharmacology

کتاب Molecular Recognition in Pharmacology

کتاب Molecular Recognition in Pharmacology اثر Mikhail Darkhovskiy زبان اصلی

This unique volume traces the behavior of the drug substance, starting from the initial pre-contact stage, and ending with the formation of the complex. Molecular recognition lies in the foundation of every life form and includes many mysteries. Currently, studies on this topic in pharmacology are limited to determining the properties of complexes of medicinal substances (drugs) with specific (complementary) biomolecules: receptors, enzymes, ion channels etc. The results present the mechanisms preventing drugs from such non-specific binding. This direction is very fruitful, although the phenomenon of molecular recognition is far wider.

Features

Presents the basics of thermodynamics and kinetics of complex formation between ligands and receptors

Selected novel therapeutic concepts are tested and validated

Provides a review of the pharmacophore approach and drug design methods

By its nature, pharmacology is a multi-disciplinary science, hence, disciplinary areas include chemistry, biology and neuroscience

Discusses hot topics including 3D structure determination techniques and in silico methods and neural networks

The main theme of the book is the consideration of mechanisms created by nature to protect physiologically active substances from being stuck on nonspecific acceptors in the body. The book describes the materials that aid in the development of new medicinal substances. It is intended for researchers, as well as upper-level undergraduate and graduate students interested in the problems of molecular pharmacology and drug design.

About the author

Mikhail Borisovich Darkhovskiy graduated from Moscow State University in 1996 with a major in Quantum Chemistry. In 2005 he earned a PhD in Chemistry and Solid-State Physics under the supervision of Dr. Andrei Thougreeff. His research was in electronic structure and transformation of spin- isomers of iron and cobalt complexes in spin transitions using the QM/ MM effective crystal field method. Together with Professor Dukhovich, he investigated the factors involved in molecular recognition in “ligand–receptor” systems, the influence of water on complex strength, and conformational entropy as a hidden factor for complex formation. Currently, he works in the biotech startup InterX (a subsidiary of NeoTX company), participating in the development of methods for the accurate prediction of compounds’ binding affinity to proteins. His awards include the INTAS Young Scientist award, and, Emory University Visiting Scientist award (Cherry L. Emerson Center for Scientific Computation Fellowship).

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