TO INTERCOMMUNICATION D – ENTROPY FROM TWO PROBLEMS THOUSAND: P/NP AND EQUATION NAVIER-STOKES FROM POSITION SYSTEM APPROACH

Authors

  • G. A. Samigulina Institute of Information and Computing Technologies, Almaty, Kazakhstan
  • Z. I. Samigulina Institute of Information and Computing Technologies, Almaty, Kazakhstan
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Abstract

Nowadays, is very actual the development of modern intellectual technologies for predicting new drugs with prescribed pharmacological properties based on artificial intelligence methods and statistical data analysis. The article is devoted to researches in the field of computer molecular design of sulfanilamide new drugs with the use of modern intellectual data analysis software RapidMiner. There was developed a database of sulfonamides descriptors based on the world's largest chemical information resource Mol-Instincts. Was presented a graphical model of preliminary processing of sulfonamides descriptors in the RapidMiner environment using the RandomForest algorithm and the principal component method. Were obtained the results of numerical modeling, were made the visualization of data in 3D form.

Keywords: data mining, sulfanilamide descriptors

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How to Cite

Samigulina, G. A., & Samigulina, Z. I. (2021). TO INTERCOMMUNICATION D – ENTROPY FROM TWO PROBLEMS THOUSAND: P/NP AND EQUATION NAVIER-STOKES FROM POSITION SYSTEM APPROACH. THE JOURNAL OF THE OPEN SYSTEMS EVOLUTION PROBLEMS, 19(2), 99–107. Retrieved from https://peos.kaznu.kz/index.php/peos/article/view/66