Abstract
The implication of several TRP ion channels (e.g., TRPV1) in diverse physiological and pathological processes has signaled them as pivotal drug targets. Consequently, the identification of selective and potent ligands for these channels is of great interest in pharmacology and biomedicine. However, a major challenge in the design of modulators is ensuring the specificity for their intended targets. In recent years, the emergence of high-resolution structures of ion channels facilitates the computer-assisted drug design at molecular levels. Here we describe some computational methods and general protocols to discover channel modulators, including homology modelling, docking and virtual screening, and structure-based peptide design.
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Acknowledgments
This work was supported by the Agencia Estatal de Investigación (AEI, MINECO) (SAF2016-66275-C02-01) and Generalitat Valenciana PROMETEO/2014/011. MNK is a recipient of an Industrial Doctorate Fellowship from MINECO (DI-16-08303).
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Nikolaeva Koleva, M., Fernandez-Ballester, G. (2019). In Silico Approaches for TRP Channel Modulation. In: Ferrer-Montiel, A., Hucho, T. (eds) TRP Channels. Methods in Molecular Biology, vol 1987. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9446-5_12
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DOI: https://doi.org/10.1007/978-1-4939-9446-5_12
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