Computational aided mechanistic understanding of Camellia sinensis bioactive compounds against co-chaperone p23 as potential anticancer agent
2019
: Co-chaperon p23 has been well established as molecular chaperon for the heat shock protein 90 (Hsp90) that further leads to immorality in cancer cells by providing defense against Hsp90 inhibitors, and as stimulating agent for generating overexpressed antiapoptotic proteins, that is, Hsp70 and Hsp27. The natural compounds such as catechins from Camellia sinensis (green tea) are also well known for inhibition activity against various cancer. However, molecular interaction profile and potential lead bioactive compounds against co-chaperon p23 from green tea are not yet reported. To this context, we study the various secondary metabolites of green tea against co-chaperon p23 using structure-based virtual screening from Traditional Chinese Medicine (TCM) database. Following 26 compounds were obtained from TCM database and further studied for extra precision molecular docking that showed binding score between -10.221 and -2.276 kcal/mol with co-chaperon p23. However, relative docking score to known inhibitors, that is, ailanthone (-4.54 kcal/mol) and gedunin ( 3.60 kcal/mol) along with ADME profile analysis concluded epicatechin (-7.013 kcal/mol) and cis-theaspirone (-4.495 kcal/mol) as potential lead inhibitors from green tea against co-chaperone p23. Furthermore, molecular dynamics simulation and molecular mechanics generalized born surface area calculations validated that epicatechin and cis-theaspirone have significantly occupied the active region of co-chaperone p23 by hydrogen and hydrophobic interactions with various residues including most substantial amino acids, that is, Thr90, Ala94, and Lys95. Hence, these results supported the fact that green tea contained potential compounds with an ability to inhibit the cancer by disrupting the co-chaperon p23 activity.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
47
References
11
Citations
NaN
KQI