of the Urals

Russian Journal of Agricultural Research

The publication is registered by the Ministry of the Russian Federation
for Affairs of the Press, Television and Radio Broadcasting and Mass Communication Media.
Registration certificate: PI number 77-12831 on May 31, 2002
Subscription index in catalog «Russian Press» - 16356
ISSN 1997 - 4868 (Print)

The Journal is included in the list of the leading peer-reviewed scientific journals and publications, which should be published by the main results of theses for the degree of doctor and Ph.D.
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Journal is included in the list of VAK (from 25.09.2017), No. 291

ISSN 2307-0005 (Online)
Key title: Agrarnyj vestnik Urala (Online)
Abbreviated key title: Agrar. vestn. Urala (Online)

Аграрный вестник Урала № 09 (188) 2019

Биология и биотехнологии

Важев В.В. доктор химических наук, профессор, Костанайский социально-технический университет им. З. Алдамжар

Важева Н.В. кандидат педагогических наук, доцент, Костанайский государственный педагогический университет имени У. Султангазина

Губенко М. А. магистр химии, старший преподаватель Костанайский государственный педагогический университет имени У. Султангазина

Мунарбаева Б.Г. кандидат педагогических наук, доцент Костанайский социально-технический университет имени З. Алдамжар

УДК:619:615 + 544.165

QSAR modeling growth inhibitors Pasteurella multocida

 The search for effective drugs for the treatment of infectious diseases of farm animals is an urgent problem. The article presents the models of antipasteurllosis activity of a vast array of chemical compounds, built using descriptors generated by the Dragon program and the computer program PROGROC developed by us. Pasteurelosis is an infectious disease of many species of animals, caused by bacteria of the genus Pasteurella, has a wide geographical distribution and causes significant economic damage to livestock. Treatment of diseased animals with antibiotics is complicated by the emergence of forms of microorganisms that are resistant to them. To solve the problem of bacterial drug resistance, it is proposed to search for and select compounds with antipasteurellosis activity using QSAR (Quantitative Structure-Activity Relationship) methods. To assess the antipasteurellosis activity, the indicator lgMIC (MIC is the minimum inhibitory concentration of the substance) was used. The prediction quality was characterized by a correlation coefficient R between the predicted and experimental values of lgMIC and the standard deviation s. In the present work, models of inhibitory activity against Pasteurella multocida 362 chemical compounds selected at the ChEMBL site were obtained. The simulation involved 445 molecular structure descriptors calculated by the Dragon 7 program. The calculations were performed using the PROGROC computer program (PROGgram RObustness Calculation). The values of the correlation coefficient reached 0.9360–0.9549 for the control sample, where 55–61 % of the total set of substances are represented. When checking the quality of modeling by means of sliding control, the following indicators were obtained: R = 0.9297 and s = 0.40. Calculations were made for compounds with only threshold estimates (<lgMIC>) in the original database. The obtained estimated lgMIC estimates are in good agreement with the experimental ones, which indicates the possibility of replacing the experiment with less costly calculations.


Pasteurella multocida, antimicrobial activity, drugs, minimum inhibitory concentration MIC, QSAR, organic substances, descriptors, Dragon, correlation, PROGROC


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