the article presents a plan on experimental studies on substantiation of structural and algorithmic organization of computer-aided systems of remote adaptive monitoring and control of microclimate parameters of commercial greenhouses. There was developed a program component for remote monitoring of physicochemical parameters of greenhouse microclimate using the 'Internet of Thing' technology and modern mobile devices. There was offered a hardware component architecture of the system of monitoring and control of greenhouse microclimate parameters. Mathematical model of experimental research of the system was developed for five independent factors based on rotatable design planning of the second order. There were substantiated trends of priority research on efficiency

The article focuses on the research results concerning development and laboratory testing of simulation and physical models of the computerized monitoring and control system for industrial greenhouse microclimate parameters. The simulation model of the system has been developed and tested in the environment of Proteus computer-aided design. The hardware component has been substantiated and implemented, and the software of the system physical model has been developed by using modern microprocessor and sensor technologies. The priority research of the developed computerized system is identified in order to increase the productivity of industrial greenhouse complexes.

The RecA protein has an essential role in DNA recombination and repair which is mediated by its ability to bind ATP/ADP. SWISS-MODEL, an online automated server, was used to predict its tertiary structure of C. jejuni RecA. Four evaluation tools were used for quality assessment of the constructed model: QMEAN6, ERRAT, ANOLEA and PROCHECK. Quality assessments indicated that the model was of high quality and reliable for docking experiments. A total of forty natural products were used in docking the model by Hex 8.0.0 and ArgusLab 4.0.1 using ADP as control. Ten compounds had docking scores higher than that of ADP (-8.61 Kcal/mol) in ArgusLab 4.0.1 where quercetin had the highest docking score of-10.34 Kcal/mol. In Hex 8.0.0 docking, only cucurmin, taxifolin, isoquercitrin and vitexin had docking scores higher than that of ADP. These natural occurring compounds may be possible inhibitors of ATPase activity and, therefore, may be further analyzed to develop new antimicrobials targeting RecA in pathogenic bacteria.