KAISO inhibition: an atomic insight.

In today's world, the pursuit of a novel anti-cancer agent remains top priority because of the fact that the global burden of this malady is continuously increasing. Our work is no different from others in searching for new therapeutic solutions. To achieve this, we are looking into Epigenetics, the phenomenon governed by hypermethylation and hypomethylation of tumor suppressor genes and oncogenes, respectively. Our target for this study is an important intermediary methyl-CpG binding protein named kaiso. In our study, we have used the X-ray crystallographic structure of Kaiso for virtual screening and molecular dynamics simulations to study the binding modes of possible inhibitors. The C2H2 domain comprising LYS539 was used for screening the inter bio screen Database having 48,531 natural compounds. Our approach of using computer-aided drug designing methods helped us to remove the execrable compounds and narrowed our focus on a selected few for molecular simulation studies. The top ranked compound (chem. ID 28127) exhibited the highest binding affinity and was also found to be stable throughout the 20 ns timeframe. This compound is therefore a good starting point for developing strong inhibitors.

Insilico modeling and molecular dynamic simulation of claudin-1 point mutations in HCV infection.

Claudin-1 (CLDN1) in association with envelope glycoprotein (CD81) mediates the fusion of HCV into the cytosol. Recent studies have indicated that point mutations in CLDN1 are important for the entry of hepatitis C virus (HCV). To validate these findings, we employed a computational platform to investigate the structural effect of two point mutations (I32M and E48K). Initially, three-dimensional co-ordinates for CLDN1 receptor sequence were generated. Then, three mutant models were built using the point mutation including a double mutant (I32M/E48K) model from the native model structure. Finally, all the four model structures including the native and three mutant models were subjected to molecular dynamics (MD) simulation for a period of 25 ns to appreciate their dynamic behavior. The MD trajectory files were analyzed using cluster and principal component method. The analysis suggested that either of the single mutation has negligible effect on the overall structure of CLDN1 compared to the double mutant form. However, the double mutant model of CLDN1 shows significant negative impact through the impairment of H-bonds and the simultaneous increase in solvent accessible surface area. Our simulation results are visibly consistent with the experimental report suggesting that the CLDN1 receptor distortion is prominent due to the double mutation with large surface accessibility. This increase in accessible surface area due to the coexistence of double mutation may be presumed as one of the key factor that results in permissive action of HCV attachment and infection.