Trends in the chemical and pharmacological research on the tropical trees Calophyllum brasiliense and Calophyllum inophyllum, a global context
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Tropical trees of Calophyllum genus (Calophyllaceae) have chemical and biological importance as potential source of secondary active metabolites which can lead to the development of new drugs. Research on this species has been rising since 1992 due to the discovering of anti-HIV properties of Calanolide A found in Calophyllum inophyllum leaves. This compound is the most important natural product for potential development of new anti-HIV drugs and phytomedicines. The scientometric analysis (1953–2014) here performed revealed that the most studied species of Calophyllum genus are: C. inophyllum and C. brasiliense, distributed in the Asian, and American continents, respectively. Current research on these species is carried out mainly in India and Brazil, respectively, where these species grow. Research on C. brasiliense is focused mainly on ecological, antiparasitic, cytotoxic properties, and isolation of new compounds. Chemical studies and biodiesel development are the main topics in the case of C. inophyllum. Text mining analysis revealed that coumarins, and xanthones are the main secondary active metabolites responsible for most of the reported pharmacological properties, and are potential compounds for the treatment of leukemia and against intracellular parasites causing American Trypanosomiasis and Leshmaniasis. On the other hand, C. inophyllum represents an important source for the development of 2nd generation biodiesel. Medicinal and industrial applications of these species may impulse sustainable forest plantations. To our knowledge this is the first scientometric and text mining analysis of chemical and biomedical research on Calophyllum genus, C. brasiliense and C. inophyllum.
KeywordsC. brasiliense C. inophyllum Text mining Natural products Calophyllum spp.
Human immunodeficiency virus type 1
Angiotensin converting enzyme
Mathematics Subject Classification92-08 (Biology and other natural sciences—computational methods)
Juan Carlos Gomez Verjan is grateful with Posgrado en Ciencias Biomédicas-UNAM and CONACyT for providing a scholarship number 220346. This work was submitted in fulfillment of the requirements to obtain PhD degree at Doctorado en Ciencias Biomédicas and Universidad Nacional Autónoma de México. This research was supported by Grant IG200513 from DGAPA-UNAM. I. Gonzalez-Sanchez was supported by a post-doctoral Grant (DGAPA-UNAM).
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