ADMET profiling of geographically diverse phytochemical using chemoinformatic tools.

作者: Shehnaz Fatima , Payal Gupta , Shilpa Sharma , Ashish Sharma , Subhash M Agarwal

DOI: 10.4155/FMC-2019-0206

关键词: Computational biologyPhytochemicalDrug discoveryDrug developmentCancer cell linesBiologyAnticancer Biological

摘要: Aim: Phytocompounds are important due to their uniqueness, however, only few reach the development phase poor pharmacokinetics. Therefore, preassessing absorption, distribution, metabolism, excretion and toxicity (ADMET) properties is essential in drug discovery. Methodology: Biologically diverse databases (Phytochemica, SerpentinaDB, SANCDB NuBBEDB) covering region of India, Brazil South Africa were considered predict ADMET using chemoinformatic tools (Qikprop, pkCSM DataWarrior). Results: Screening through each pharmacokinetic criteria resulted identification 24 compounds that adhere all properties. Furthermore, assessment revealed five have potent anticancer biological activity against cancer cell lines. Conclusion: We established an open-access database (ADMET-BIS) enable promising molecules follow can be for development.

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