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Título del libro: Principles Of Genetics And Molecular Epidemiology
Título del capítulo: Molecular Pharmacological Tools Applied to Epidemiology

Autores UNAM:
OSCAR SALVADOR BARRERA VAZQUEZ; EDGAR FLORES SOTO;
Autores externos:

Idioma:

Año de publicación:
2022
Palabras clave:

Docking; Drug discovery; Epidemiology; Molecular pharmacology; Network pharmacology; QSP


Resumen:

Although pharmacology and epidemiology seem to be quite distant disciplines, both depend on each other. On one hand, it is essential to know the epidemiological importance of diseases to develop novel relevant drugs. On the other hand, the drug development process involves using several epidemiological tools for its studies. The development of a novel compound needs several amounts of information from preclinical to clinical data to develop a clear hypothesis that involves the inhibition or activation of a particular signaling pathway that eventually will result in a therapeutic effect, changing the pathological state of the patient. In the present chapter, we will cover some of the most recent pharmacology advances used over recent years. For instance, the quantitative structure-activity relationship (QSAR) is used to build computational or mathematical models to find a statistically significant correlation between structure and biological activity or docking used to predict the interaction of two molecules (drug-target), generating a binding model. Likewise, among the most recent tools implemented for the acceleration of drug discovery, we found the so-called network pharmacology, which takes advantage of the vast amount of information generated by the advances in systems biology and polypharmacology or quantitative systems pharmacology (QSP), which has attracted interest over recent years in the pharmaceutical industry. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.


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