Abstract
Carbonic anhydrase type IX (CA IX) enzyme is mostly over expressed in different cancer cell lines and tumor tissues. Potent CA IX inhibitors can be effective for adjusting the pH imbalance in tumor cells. In the present work, we represented the successful application of high throughput virtual screening (HTVS) of large dataset from ZINC database included of ∼7 million compounds to discover novel inhibitors of CA IX. HTVS and molecular docking were performed using consequence Glide/standard precision (SP), extra precision (XP) and induced fit docking (IFD) molecular docking protocols. For each compound, docking code calculates a set of low-energy poses and then exhaustively scans the binding pocket of the target with small compounds. Novel CA IX inhibitor candidates were suggested based on molecular modeling studies and a few of them were tested using in vitro analysis. These compounds were determined as good inhibitors against human CA IX target with Ki in the range of 0.85–1.58 μM. In order to predict the pharmaceutical properties of the selected compounds, ADME (absorption, distribution, metabolism and excretion) analysis was also carried out.
Acknowledgments
Part of computations for the work described in this paper was supported by Turkish Scientific and Technical Research Council (TUBITAK) ULAKBIM High Performance Computing Center. SD acknowledges support from Bilim Akademisi - The Science Academy, Turkey, under the BAGEP program
Declaration of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.
Supplementary material available online
Supplementary Figures S1–S3 and Tables S1–S2