Department of Neurology, Princeton University, USA
Mini Review
Compound library design using data-driven approaches for parkinson's disease treatment
Author(s): Edgar Segura*
Parkinson’s complaint (PD) is the alternate most common
neurodegenerative complaint in aged individualities worldwide.
Pharmacological treatment for such a complaint consists of medicines
similar as monoamine oxidase B (MAO- B) impediments to increase
dopamine attention in the brain. still, similar medicines have adverse
responses that limit their use for extended ages; therefore, the
design of lower poisonous and more effective composites may be
explored. In this environment, cheminformatics and computational
chemistry have lately contributed to developing new medicines and
the hunt for new remedial targets. thus, through a data- driven
approach, we used cheminformatic tools to find and optimize new
composites with pharmacological exertion against MAO- B for
treating PD. First, we recaptured from the literature 3316 original
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