To comfort the living conditions within of a human his home, she can use home monitoring and automation are utilized. The standards of human’s comfort in homes can be categorized into several types. Among these categories, the most significant ones are the thermal comfort, which is related to temperature and humidity, followed by the visual comfort, related to colors and light, and hygienic comfort, associated with air quality.We are proposing a system to monitoring the paremeters range which will increase the comfortness of the human.Additionally,we incorporate the smart home technique which controls the home appliances by intelligent automatic execution of commands after analyzing the collected data. Automation can be accomplished by using the Internet of Things (IoT). This gives the inhabitant accesses to certain data in the house and the ability to control some parameters remotely. We propose the complete design of an IoT based sensing and monitoring system for smart home automation. That uses the EmonCMS platform for collecting and Visualizing monitored data and remote controlling of home appliances and devices. The selected platform is very flexible and user-friendly. The sensing of different variables inside the house is conducted using the NodeMCU-ESP8266 microcontroller board, which allows real-time data sensing, processing and uploading/downloading to/from the EmonCMS cloud server.

PRR11 is a cell cycle regulator involved in pathogenesis of cancer. Therapeutically it has been identified as target to inhibit cancer growth. In this study, we employed in silico strategies for determining 3D structure of PRR11 and identification of lead molecules. Molecular modelling of PRR11 was carried out with the help of @TOME2, modeller 9.10 and ModLoop, further structure refinement conceded with SAVES server. ZINC database was virtually screened against reference marine natural compound and docking simulations were performed in AutoDock Vina. Pharmacokinetic properties of leads have been analysed in DataWarrior. Collectively, the results revealed that the 3D structure of target was successfully build with refinement of 30 loops, the reliable structure showed that 83.87% amino acid residues present in allowed regions of Ramachandran plot, Errat overall quality factor was 83.807, passed in Prove and more than 65% amino acids have scored >=0.2 in the 3D/1D plot of PRR11. Based on small molecule screening of ZINC database against PRR11 with resulted pharmacokinetic descriptors, 5 lead molecules (28863059, 79642438, 27766155, 27855322 and 28365298) have predicted as PRR11 inhibitors, which are very prominent in binding energy values, ADME and adverse effects (MTIR) calculations than reference marine natural compound. ZINC database has been given a choice to purchase lead molecules for further evaluations in in vitro/in vivo studies; it could be an opportunity to further prove of this in silico predictions.