BLACK TURMERIC DATABASE: A DATABASE OF NATURAL COMPOUNDS FROM CURCUMA CAESIA ROXB.

Abstract

Objective: Most species have their trademark metabolites or a class of chemicals that are generally disseminated inside the genus variety. Secondary metabolites from the black turmeric are predominantly camphor, terpenes, lactones, alkaloids, and phenols classification. A database was constructed with the predicted absorption, distribution, metabolism, elimination, and toxicity, druglikeliness, and physiochemical properties of the exclusive black turmeric 103 compounds. Methods: The interface has been designed using Microsoft Structured Query Language platform, keeping in mind the ease of use for a researcher. To support this, the entire set of chemicals and their properties was uploaded in database. Database is used as it is very efficient and supports multiple users at the same time.Results: Black turmeric database gives complete data of compounds by means of 4 segments. Physiochemical, pharmacodynamics, pharmacokinetics, druglikeliness, and molecular information are displayed with chemical structure.Conclusion: We solidly believe that the information from this database are the sources to infer novel pharmaceutical chemical compounds for medication.