ReviewMedicinal chemistry (Shariqah (United Arab Emirates))2026
Heterocyclic Derivatives in Parkinson's Therapy: Recent Advances and Prospects.
Review in Medicinal chemistry (Shariqah (United Arab Emirates)), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
Funding
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Abstract
The aim of this study is to conduct a thorough examination of the most recent derivatives that have been studied for their potential in treating Parkinson's disease and to establish the connection between the chemical structure of these derivatives and their effectiveness as therapeutic agents. A thorough examination of the available literature was carried out to gather data about the identification of pertinent research on derivatives aimed at addressing Parkinson's disease. The literature was analyzed to determine derivative chemical structures, modes of action, and preclinical and clinical results. To discover novel derivatives with therapeutic potential for Parkinson's disease, our investigation uncovered a variety of such chemical compounds. These derivatives cover a wide range of chemical classes and demonstrate different ways of working, such as impacting neurotransmitter systems, acting as antioxidants, and providing neuroprotective effects. In addition, an examination of the SAR (Structure-activity relationship) uncovered important structural characteristics linked to improved therapeutic effectiveness. This manuscript offers a thorough examination of the most recent derivatives aimed at addressing Parkinson's disease and their potential for therapeutic use. The understanding of SAR and pharmacological attributes provides insights into the development and refining of novel medications for Parkinson's disease treatment, promoting advancement in the field of neurotherapeutics.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.