Abstract
Parkinson’s disease (PD), Alzheimer’s disease (AD) are very frequent human neurodegenerative diseases. Their pharmacological treatment has not been solved; therefore, there is a need to investigate and discover new drug candidates and new targets. Modification of endogenous chemicals can offer new candidates with improved therapeutic outcomes. Computational chemistry can support the discovery of such candidates and can further improve the execution speed, decrease cost and the usage of test animals. These methods for example can include cheminformatics, docking and molecular dynamics. Computational biology offers a way for discovery of novel pharmacological targets and can pinpoint the genetic background of such diseases. In this chapter, we would like to discuss the possible targets of the two most common neurological diseases, AD and PD. The known and the possible new targets are shown and their therapeutic importance is also detailed. In addition, the methods of their discovery is highlighted demonstrating the importance of the in silico discovery of new targets in neurological diseases.
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Nagy, A., Polgar, T. (2019). In-silico Targets in Neurodegenerative Disorders. In: Kumar, S., Egbuna, C. (eds) Phytochemistry: An in-silico and in-vitro Update. Springer, Singapore. https://doi.org/10.1007/978-981-13-6920-9_22
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DOI: https://doi.org/10.1007/978-981-13-6920-9_22
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