Abstract PR-5: Signal pathway profiling of cancer cell lines derived from serially passaged human tumorgrafts for guiding drug development

Author(s):  
Feng Yang ◽  
Yue Li ◽  
Amit Aggarwal ◽  
Jason Manro ◽  
Shuyu Dan Li ◽  
...  
2011 ◽  
Vol 19 (8) ◽  
pp. 719-730 ◽  
Author(s):  
Lichun Sun ◽  
Jing Luo ◽  
L. Vienna Mackey ◽  
Lynsie M. Morris ◽  
Laura G. Franko-Tobin ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 69-87 ◽  
Author(s):  
Shehnaz Fatima ◽  
Payal Gupta ◽  
Shilpa Sharma ◽  
Ashish Sharma ◽  
Subhash M Agarwal

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


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