38 research outputs found

    ΠŸΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Ρ‹ ΠΏΡ€ΠΎΡ‚Π΅Π°Π·Ρ‹ 3Π‘Lpro вируса COVID-19: Ρ€Π΅ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ лСкарств

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    Pneumonia caused by the COVID-19 virus has led to quick search of drugs that would able to block the spread of this virus. A standard way of drug development is a long process. One approach that can significantly accelerate drug development is drug reposition. In this study a virtual screening of the database of approved drugs has been used for search inhibitors against 3Π‘Lpro COVID-19, the main protease of COVID-19. Molecular docking, simulation of molecular dynamics and binding energy estimation by MM-GBSA method allowed to select several compounds for further experimental testing. The most promising drugs are the HIV protease inhibitor Indinavir, the inhibitor of protease hepatitis C Telaprevir, the antiulcer drug Dalargin, and the ErB receptor tyrosine kinase inhibitor NeratinibΠ’ΡΠΏΡ‹ΡˆΠΊΠ° заболСвания, вызванная вирусом COVID-19, стимулировала поиск срСдств, способных Π±Π»ΠΎΠΊΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ распространСниС этого вируса. Бтандартная схСма Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π½ΠΎΠ²Ρ‹Ρ… лСкарств являСтся Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌ процСссом. Одним ΠΈΠ· ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Ρ€Π΅Π·ΠΊΠΎ ΡƒΡΠΊΠΎΡ€ΠΈΡ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ лСкарствСнных ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ², являСтся Ρ€Π΅ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ лСкарств (Ρ‚.Π΅. использованиС ΡƒΠΆΠ΅ ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² ΠΏΠΎ Π½ΠΎΠ²Ρ‹ΠΌ показаниям). Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΉ скрининг вСщСств, содСрТащихся Π² Π±Π°Π·Π΅ Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½Π½Ρ‹Ρ… ΠΊ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡŽ лСкарств, ΠΏΡ€ΠΎΡ‚ΠΈΠ² основной ΠΏΡ€ΠΎΡ‚Π΅Π°Π·Ρ‹ COVID-19 – 3Π‘Lpro. ΠœΠΎΠ»Π΅ΠΊΡƒΠ»ΡΡ€Π½Ρ‹ΠΉ Π΄ΠΎΠΊΠΈΠ½Π³, ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ молСкулярной Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ° энСргии связывания ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ MM-GBSA ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠΈΡ‚ΡŒ ряд соСдинСний для ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅Π³ΠΎ тСстирования. НаиболСС пСрспСктивными лСкарствами Π² этом ΠΏΠ»Π°Π½Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€ ΠΏΡ€ΠΎΡ‚Π΅Π°Π·Ρ‹ Π’Π˜Π§ Indinavir, ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€ ΠΏΡ€ΠΎΡ‚Π΅Π°Π·Ρ‹ Π³Π΅ΠΏΠ°Ρ‚ΠΈΡ‚Π° Π‘ Telaprevir, Π° Ρ‚Π°ΠΊΠΆΠ΅ противоязвСнный ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ Dalargin ΠΈ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€ Ρ‚ΠΈΡ€ΠΎΠ·ΠΈΠ½ΠΊΠΈΠ½Π°Π·Ρ‹ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π° ErB Neratinib

    ИсслСдованиС ΠΊΠ°Π½Π°Π»ΡŒΠ½Ρ‹Ρ… Π±Π»ΠΎΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ² NMDA Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π° Π² ряду ΠΊΠΎΠ½ΡŠΡŽΠ³Π°Ρ‚ΠΎΠ² ΠΌΠ΅Ρ‚ΠΈΠ»Π΅Π½ΠΎΠ²ΠΎΠ³ΠΎ синСго с использованиСм QSAR ΠΈ молСкулярного модСлирования

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    29 conjugates of methylene blue and four chemical structures, including derivatives of carbazole, tetrahydrocarbazole, substituted indoles and Ξ³-carboline, combined with a 1-oxopropylene spacer have been studied as channel blockers of the NMDA receptor (binding site of MK-801) by using four QSAR methods (multiple linear regression, random forest, support vector machine, Gaussian process) and molecular docking. QSAR models have satisfactory characteristics. The analysis of regression models at the statistical level revealed an important role of the hydrogen bond in the complex formation. This was also confirmed by the study of modeled by docking complexes. It was found that the increase in the inhibitory activity of the part of compounds could be attributed to appearance of additional H bonds between the ligands and the receptor.Π‘ использованиСм 4-Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² QSAR (мноТСствСнная линСйная рСгрСссия, случайный лСс, ΠΌΠ΅Ρ‚ΠΎΠ΄ ΠΎΠΏΠΎΡ€Π½Ρ‹Ρ… Π²Π΅ΠΊΡ‚ΠΎΡ€ΠΎΠ², гауссовский процСсс) ΠΈ молСкулярного Π΄ΠΎΠΊΠΈΠ½Π³Π° исслСдованы Π² качСствС Π±Π»ΠΎΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ² NMDA Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π° (сайт связывания МК-801) 29 ΠΊΠΎΠ½ΡŠΡŽΠ³Π°Ρ‚ΠΎΠ² ΠΌΠ΅Ρ‚ΠΈΠ»Π΅Π½ΠΎΠ²ΠΎΠ³ΠΎ синСго ΠΈ Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅Ρ… Ρ‚ΠΈΠΏΠΎΠ² соСдинСний, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π½Ρ‹Π΅ ΠΊΠ°Ρ€Π±Π°Π·ΠΎΠ»Π°, Ρ‚Π΅Ρ‚Ρ€Π°Π³ΠΈΠ΄Ρ€ΠΎΠΊΠ°Ρ€Π±Π°Π·ΠΎΠ»Π°, Π·Π°ΠΌΠ΅Ρ‰Π΅Π½Π½Ρ‹Ρ… ΠΈΠ½Π΄ΠΎΠ»ΠΎΠ² ΠΈ Ξ³-ΠΊΠ°Ρ€Π±ΠΎΠ»ΠΈΠ½Π°, ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½Π΅Π½Π½Ρ‹Ρ… 1-оксопропилСновым спСйсСром. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ QSAR ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΠΌΠ΅ΡŽΡ‚ ΡƒΠ΄ΠΎΠ²Π»Π΅Ρ‚Π²ΠΎΡ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ характСристики. На основС Π°Π½Π°Π»ΠΈΠ·Π° рСгрСссионных ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π½Π° статистичСском ΡƒΡ€ΠΎΠ²Π½Π΅ выявлСна ваТная Ρ€ΠΎΠ»ΡŒ Π²ΠΎΠ΄ΠΎΡ€ΠΎΠ΄Π½ΠΎΠΉ связи ΠΏΡ€ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ комплСкса. Π­Ρ‚ΠΎ нашло ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΈ исслСдовании ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ комплСксов, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… молСкулярным Π΄ΠΎΠΊΠΈΠ½Π³ΠΎΠΌ. УстановлСно, Ρ‡Ρ‚ΠΎ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ€ΡƒΡŽΡ‰Π΅ΠΉ способности части исслСдуСмых соСдинСний обусловлСно появлСниСм Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Н-связСй ΠΌΠ΅ΠΆΠ΄Ρƒ Π»ΠΈΠ³Π°Π½Π΄Π°ΠΌΠΈ ΠΈ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠΌ

    ИсслСдованиС in silico взаимодСйствия ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π½Ρ‹Ρ… 2’-{[(e)-андрост-5-Π΅Π½-17-ΠΈΠ»ΠΈΠ΄Π΅Π½]-ΠΌΠ΅Ρ‚ΠΈΠ»}оксазолинов с Π°Π½Π΄Ρ€ΠΎΠ³Π΅Π½ΠΎΠ²Ρ‹ΠΌ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠΌ

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    The ability of novel oxazolinyl derivatives of pregna-5,17(20)-diene to interact with the androgen receptor (AR) was investigated using molecular modelling methods. Six new derivatives differed in oxazolinyl radicals in 17 position were used. It was shown that all compounds were able to docked in the ligand-binding domain of AR only when the AR helix-12 was removed. It is suggested that these compounds have antagonistic properties. Results of docking and simulation of molecular dynamics with estimation of binding energy allow to predict that two compounds can be effective AR antagonists.ΠœΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ молСкулярного модСлирования ΠΎΡ†Π΅Π½Π΅Π½Π° ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ Π½ΠΎΠ²Ρ‹Ρ… азотсодСрТащих стСроидных ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π½Ρ‹Ρ… 2’-{[(E)-андрост-5-Π΅Π½-17-ΠΈΠ»ΠΈΠ΄Π΅Π½]-ΠΌΠ΅Ρ‚ΠΈΠ»}оксазолинов Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ с Π°Π½Π΄Ρ€ΠΎΠ³Π΅Π½Π½Ρ‹ΠΌ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠΌ. Π˜ΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ‹ 6 оксазолиновых ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π½Ρ‹Ρ… 17(20)Π•-ΠΏΡ€Π΅Π³Π½Π°-5,17(20)-Π΄ΠΈΠ΅Π½Π°, Ρ€Π°Π·Π»ΠΈΡ‡Π°ΡŽΡ‰ΠΈΡ…ΡΡ структурой Π³Π΅Ρ‚Π΅Ρ€ΠΎΡ†ΠΈΠΊΠ»Π°. Показано, Ρ‡Ρ‚ΠΎ всС соСдинСния способны ΡΠ²ΡΠ·Ρ‹Π²Π°Ρ‚ΡŒΡΡ с Π°Π½Π΄Ρ€ΠΎΠ³Π΅Π½Π½Ρ‹ΠΌ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠΌ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π² случаС, ΠΊΠΎΠ³Π΄Π° ΠΈΠ· структуры Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π° Π±Ρ‹Π»Π° ΡƒΠ΄Π°Π»Π΅Π½Π° 12 ΡΠΏΠΈΡ€Π°Π»ΡŒ. Π­Ρ‚ΠΎ позволяСт ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Ρ‚ΡŒ, Ρ‡Ρ‚ΠΎ Π΄Π°Π½Π½Ρ‹Π΅ Π»ΠΈΠ³Π°Π½Π΄Ρ‹ Π΄ΠΎΠ»ΠΆΠ½Ρ‹ ΠΏΡ€ΠΎΡΠ²Π»ΡΡ‚ΡŒ антагонистичСскиС свойства. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π΄ΠΎΠΊΠΈΠ½Π³Π° ΠΈ молСкулярной Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ с ΠΎΡ†Π΅Π½ΠΊΠΎΠΉ энСргии связывания Π»ΠΈΠ³Π°Π½Π΄ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚ΡŒ, Ρ‡Ρ‚ΠΎ Π΄Π²Π° ΠΈΠ· исслСдованных соСдинСний ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ эффСктивными антагонистами Π°Π½Π΄Ρ€ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π°

    Π€ΠΈΠ·ΠΈΠΊΠΎ-химичСскиС свойства ΠΌΡƒΡ‚Π°Π½Ρ‚Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ L-аспарагиназы ΠΈΠ· Rhodospirillum rubrum, ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‰ΠΈΡ… Π°Π½Ρ‚ΠΈΡ‚Π΅Π»ΠΎΠΌΠ΅Ρ€Π°Π·Π½ΠΎΠΉ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒΡŽ

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    Rru_A3730 protein is a bacterial Rhodospirillum rubrum L-asparaginase (RrA), which is known by its anticancer activity. RrA variants with point amino acid substitutions in the region of 150 amino acids residues: RrA17N, K149E, RrAE149R, V150P, F151T, RrА17N, E149R, V150P, RrAE149R, V150P, showed antiproliferative properties, and also by their ability to suppress telomerase activity. This work is devoted to comparison of physical-chemical and catalytic properties of these mutant forms of RrA. It is shown that pH optimum is in the alkaline zone (8.5 – 9.3); L-glutaminase and D-asparaginase activity is respectively not more than 0.1% and 1.6% of L-asparaginase for all studied variants of RrA. The presence of the N17-terminal amino acid sequence MASMTGGQMGRGSSRQ of the capsid protein of bacteriophage T7 in the RrA structure leads to an increase in the thermal stability of mutant RrA analogues (from 50Β°C to 56Β°C) and their resistance to denaturation in the presence of 3 – 4 M urea. It is of Metal ions exhibit multidirectional effects on L-asparaginase activity of RrA. K+, Ca2+, Zn2+, Cs+, Co2+ in significantly affect the activity of L-asparaginase, while Mn2+, Cu2+, Fe3+ ions inhibit it. There was no correlation between antitelomerase (antiproliferative) activity and kinetic properties of mutant forms of L-asparaginase RrA.Π‘Π΅Π»ΠΎΠΊ Rru_A3730, извСстный ΠΊΠ°ΠΊ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Π°Ρ L-аспарагиназа Rhodospirillum rubrum, прСдставляСт интСрСс Π² качСствС ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ срСдства, особСнно Π΅Ρ‘ Π²Π°Ρ€ΠΈΠ°Π½Ρ‚Ρ‹ с Ρ‚ΠΎΡ‡Π΅Ρ‡Π½Ρ‹ΠΌΠΈ аминокислотными Π·Π°ΠΌΠ΅Π½Π°ΠΌΠΈ Π² Ρ€Π°ΠΉΠΎΠ½Π΅ 150 аминокислотного остатка (Π°.ΠΊ.ΠΎ.): RrA17N, K149E, RrAE149R, V150P, F151T, RrА17N, E149R, V150P, RrAE149R, V150P, ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‰ΠΈΠ΅ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π°Π½Ρ‚ΠΈΠΏΡ€ΠΎΠ»ΠΈΡ„Π΅Ρ€Π°Ρ‚ΠΈΠ²Π½Ρ‹ΠΌΠΈ свойствами, Π½ΠΎ ΠΈ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒΡŽ ΠΏΠΎΠ΄Π°Π²Π»ΡΡ‚ΡŒ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Ρ‚Π΅Π»ΠΎΠΌΠ΅Ρ€Π°Π·Ρ‹. Данная Ρ€Π°Π±ΠΎΡ‚Π° посвящСна ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ Ρ„ΠΈΠ·ΠΈΠΊΠΎ-химичСских ΠΈ каталитичСских свойств этих ΠΌΡƒΡ‚Π°Π½Ρ‚Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ RrA. Показано, Ρ‡Ρ‚ΠΎ для всСх ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ² RrA рН ΠΎΠΏΡ‚ΠΈΠΌΡƒΠΌ находится Π² Ρ‰Π΅Π»ΠΎΡ‡Π½ΠΎΠΉ Π·ΠΎΠ½Π΅ (8.5 – 9.3); L-глутаминазная ΠΈ D-аспарагиназная Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‚, соотвСтствСнно, Π½Π΅ Π±ΠΎΠ»Π΅Π΅ 0.1% ΠΈ 1.6% ΠΎΡ‚ L-аспарагиназной. ΠŸΡ€ΠΈΡΡƒΡ‚ΡΡ‚Π²ΠΈΠ΅ 17N-ΠΊΠΎΠ½Ρ†Π΅Π²ΠΎΠΉ аминокислотной ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ MASMTGGQQMGRGSSRQ капсидного Π±Π΅Π»ΠΊΠ° Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΎΡ„Π°Π³Π° Π’7 Π² структурС RrA ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡŽ Ρ‚Π΅Ρ€ΠΌΠΎΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΌΡƒΡ‚Π°Π½Ρ‚Π½Ρ‹Ρ… Π°Π½Π°Π»ΠΎΠ³ΠΎΠ² RrA (ΠΎΡ‚ 50Β°Π‘ Π΄ΠΎ 56Β°Π‘) ΠΈ ΠΈΡ… устойчивости ΠΊ Π΄Π΅Π½Π°Ρ‚ΡƒΡ€Π°Ρ†ΠΈΠΈ Π² присутствии 3 – 4 М ΠΌΠΎΡ‡Π΅Π²ΠΈΠ½Ρ‹. ВыявлСн Ρ€Π°Π·Π½ΠΎΠ½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½Ρ‹ΠΉ эффСкт ΠΈΠΎΠ½ΠΎΠ² ΠΌΠ΅Ρ‚Π°Π»Π»ΠΎΠ² Π½Π° L-Π°ΡΠΏΠ°Ρ€Π°Π³ΠΈΠ½Π°Π·Π½ΡƒΡŽ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ² RrA: ΠΈΠΎΠ½Ρ‹ K+, Ca2+, Zn2+, Cs+, Co2+ сущСствСнно Π½Π΅ Π²Π»ΠΈΡΡŽΡ‚ Π½Π° Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ L-аспарагиназы, Π΄ΠΎΠ±Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠΎΠ½ΠΎΠ² Mn2+, Cu2+, Fe3+ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ сниТСнию активности. НС ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΎ коррСляции ΠΌΠ΅ΠΆΠ΄Ρƒ Π°Π½Ρ‚ΠΈΡ‚Π΅Π»ΠΎΠΌΠ΅Ρ€Π°Π·Π½ΠΎΠΉ (Π°Π½Ρ‚ΠΈΠΏΡ€ΠΎΠ»ΠΈΡ„Π΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ) Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒΡŽ ΠΈ кинСтичСскими свойствами ΠΌΡƒΡ‚Π°Π½Ρ‚Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ L-аспарагиназы RrA

    Solar parameters for modeling interplanetary background

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    The goal of the Fully Online Datacenter of Ultraviolet Emissions (FONDUE) Working Team of the International Space Science Institute in Bern, Switzerland, was to establish a common calibration of various UV and EUV heliospheric observations, both spectroscopic and photometric. Realization of this goal required an up-to-date model of spatial distribution of neutral interstellar hydrogen in the heliosphere, and to that end, a credible model of the radiation pressure and ionization processes was needed. This chapter describes the solar factors shaping the distribution of neutral interstellar H in the heliosphere. Presented are the solar Lyman-alpha flux and the solar Lyman-alpha resonant radiation pressure force acting on neutral H atoms in the heliosphere, solar EUV radiation and the photoionization of heliospheric hydrogen, and their evolution in time and the still hypothetical variation with heliolatitude. Further, solar wind and its evolution with solar activity is presented in the context of the charge exchange ionization of heliospheric hydrogen, and in the context of dynamic pressure variations. Also the electron ionization and its variation with time, heliolatitude, and solar distance is presented. After a review of all of those topics, we present an interim model of solar wind and the other solar factors based on up-to-date in situ and remote sensing observations of solar wind. Results of this effort will further be utilised to improve on the model of solar wind evolution, which will be an invaluable asset in all heliospheric measurements, including, among others, the observations of Energetic Neutral Atoms by the Interstellar Boundary Explorer (IBEX).Comment: Chapter 2 in the planned "Cross-Calibration of Past and Present Far UV Spectra of Solar System Objects and the Heliosphere", ISSI Scientific Report No 12, ed. R.M. Bonnet, E. Quemerais, M. Snow, Springe

    Бпособ поиска Π»ΠΈΠ³Π°Π½Π΄ΠΎΠ² для Π½ΠΎΠ²Ρ‹Ρ… сайтов связывания

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    Analysis of protein structures shows that most of them have potential binding sites that may be considered as applicable for new ligand design. The lack of known ligands interacting with such binding sites seriously complicated potential ligands selection. We have developed an approach that can increase the effectiveness of virtual screening for such ligands. It integrates methods of de novo ligand design, pharmacophore modeling, molecular docking, molecular dynamics, calculation of binding energies by MM-GBSA. This approach starts by the de novo design of virtual library of potential compounds followed by selection of favourable substructures and their correct positioning in a new ligand binding site. This generated library has been used for a development of pharmacophore models that have been used for a virtual screening of molecular databases. The selected compounds were docked to the putative binding site to check their ability to accommodate into it and their ability to locate the identified favorable fragments in the same region of the binding site as de novo generated molecules. The further evaluation of the selected ligands can be carried out by standard CADD methods.Анализ Π±Π΅Π»ΠΊΠΎΠ²Ρ‹Ρ… структур ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²ΠΎ ΠΈΠ· Π½ΠΈΡ… ΠΈΠΌΠ΅ΡŽΡ‚ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ сайты связывания, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠΆΠ½ΠΎ Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°Ρ‚ΡŒ ΠΊΠ°ΠΊ пСрспСктивныС для поиска Π½ΠΎΠ²Ρ‹Ρ… Π»ΠΈΠ³Π°Π½Π΄ΠΎΠ². Однако, отсутствиС Π΄Π°Π½Π½Ρ‹Ρ… ΠΎ извСстных Π»ΠΈΠ³Π°Π½Π΄Π°Ρ…, Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… с Ρ‚Π°ΠΊΠΈΠΌΠΈ сайтами связывания, сильно ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡ΠΈΠ²Π°ΡŽΡ‚ поиску ΠΈ ΠΎΡ‚Π±ΠΎΡ€Ρƒ Π½ΠΎΠ²Ρ‹Ρ… соСдинСний. Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ прСдставлСн ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ для ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ эффСктивности Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ скрининга. Π”Π°Π½Π½Ρ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΡΠ΅Ρ‚ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π΄ΠΈΠ·Π°ΠΉΠ½Π° Π»ΠΈΠ³Π°Π½Π΄ΠΎΠ² de novo, построСния ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΡ„ΠΎΡ€ΠΎΠ², молСкулярный Π΄ΠΎΠΊΠΈΠ½Π³, ΠΌΠΎΠ»Π΅ΠΊΡƒΠ»ΡΡ€Π½ΡƒΡŽ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ, расчСт энСргий связывания с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ MM-GBSA. ΠŸΡ€ΠΈ использовании Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π½Π° ΠΏΠ΅Ρ€Π²ΠΎΠΌ этапС создаСтся Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½Π°Ρ Π±ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ° ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… соСдинСний ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ конструирования de novo, с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ ΠΎΡ‚Π±ΠΎΡ€ΠΎΠΌ эффСктивных субструктур ΠΈ ΠΈΡ… располоТСния Π² сайтС связывания. На основС ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Ρ€Π°Π·Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°ΡŽΡ‚ΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΡ„ΠΎΡ€ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡŽΡ‚ΡΡ для Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ скрининга молСкулярных Π±Π°Π· Π΄Π°Π½Π½Ρ‹Ρ…. ΠžΡ‚ΠΎΠ±Ρ€Π°Π½Π½Ρ‹Π΅ соСдинСния Π΄ΠΎΠΊΠΈΡ€ΡƒΡŽΡ‚ΡΡ Π² сайт связывания для ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠΈ ΠΈΡ… способности Ρ€Π°Π·ΠΌΠ΅Ρ‰Π°Ρ‚ΡŒΡΡ Π² Π½Π΅ΠΌ ΠΈ для ΠΎΡ†Π΅Π½ΠΊΠΈ совпадСния ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… благоприятных Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ² Π² Ρ‚ΠΎΠΌ ΠΆΠ΅ Ρ€Π°ΠΉΠΎΠ½Π΅ сайта связывания, прСдсказанном ΠΏΡ€ΠΈ Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΌΠΎΠ»Π΅ΠΊΡƒΠ» de novo. Π”Π°Π»ΡŒΠ½Π΅ΠΉΡˆΡƒΡŽ ΠΎΡ†Π΅Π½ΠΊΡƒ Π²Ρ‹Π±Ρ€Π°Π½Π½Ρ‹Ρ… Π»ΠΈΠ³Π°Π½Π΄ΠΎΠ² ΠΌΠΎΠΆΠ½ΠΎ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΡŒ стандартными ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠ³ΠΎ конструирования лСкарств. ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΡ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΌΠΎΠΆΠ΅Ρ‚ ΡΠΏΠΎΡΠΎΠ±ΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ эффСктивному поиску Π»ΠΈΠ³Π°Π½Π΄ΠΎΠ² для Π½ΠΎΠ²Ρ‹Ρ… сайтов связывания

    ВлияниС связывания Π³Π΅Π»Π΄Π°Π½Π°ΠΌΠΈΡ†ΠΈΠ½Π° с HSP90 Π½Π° сайт фосфорилирования THR90

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    Prostate cancer is hormone-dependent and the androgen receptor (AR) is involved in its development. AR is a transcription factor that is activated by ligand binding, result in its translocation into the nucleus, where it initiates gene transcription. In an inactive state in cytoplasm AR exists as a complex with heat shock protein 90 (HSP90) and some other proteins. When the agonist binds, a conformational change in AR occurs, resulting in HSP90 and other chaperones dissociating. Recently it has been shown that for the dissociation of the HSP90-AR complex and the translocation of the latter into the nucleus, phosphorylation of the Thr-90 residue of the N-terminal domain of HSP90 is necessary. In this work, the effect of the HSP90 inhibitor, geldanamycin, interacting with the ATP-binding site, on the Thr90 phosphorylation site was investigated by molecular modeling methods. It has been shown that inhibitor binding slightly affects the size and mobility of cavity around Thr90. It is suggested that inhibitor binding to HSP90 does not result in changing the protein structure and does not influence on protein phosphorylation, and partially explains low effectiveness of such type of drugs in the therapy of prostate cancer.Π Π°ΠΊ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ (Π ΠŸΠ–) являСтся Π³ΠΎΡ€ΠΌΠΎΠ½-зависимым, Π² Π΅Π³ΠΎ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ участвуСт Π°Π½Π΄Ρ€ΠΎΠ³Π΅Π½ΠΎΠ²Ρ‹ΠΉ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ (AR), Π²Ρ‹ΠΏΠΎΠ»Π½ΡΡŽΡ‰ΠΈΠΉ Ρ€ΠΎΠ»ΡŒ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° транскрипции. Π’ Π½Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΌ состоянии Π² Ρ†ΠΈΡ‚ΠΎΠ·ΠΎΠ»Π΅ AR находится Π² комплСксС с Π±Π΅Π»ΠΊΠΎΠΌ Ρ‚Π΅ΠΏΠ»ΠΎΠ²ΠΎΠ³ΠΎ шока HSP90 ΠΈ рядом Π΄Ρ€ΡƒΠ³ΠΈΡ… Π±Π΅Π»ΠΊΠΎΠ². ВзаимодСйствиС с агонистом ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ ΠΊΠΎΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹ΠΌ измСнСниям Π² AR, Π² Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Ρ‡Π΅Π³ΠΎ комплСкс AR с ΡˆΠ°ΠΏΠ΅Ρ€ΠΎΠ½Π°ΠΌΠΈ распадаСтся ΠΈ AR транспортируСтся Π² ядро. НСдавно Π±Ρ‹Π»ΠΎ ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΎ, Ρ‡Ρ‚ΠΎ для диссоциации комплСкса ΡˆΠ°ΠΏΠ΅Ρ€ΠΎΠ½Π° HSP90 ΠΈ AR Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ фосфорилированиС остатка Thr-90 N-ΠΊΠΎΠ½Ρ†Π΅Π²ΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ΅Π½Π° HSP90. Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ молСкулярного модСлирования исслСдовано влияниС ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Π° HSP90 Π³Π΅Π»Π΄Π°Π½Π°ΠΌΠΈΡ†ΠΈΠ½Π°, Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π³ΠΎ с АВР-ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰ΠΈΠΌ сайтом, Π½Π° сайт фосфорилирования Thr90. Π‘Ρ‹Π»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, Ρ‡Ρ‚ΠΎ связываниС ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Π° Π½Π΅ сильно влияСт Π½Π° Ρ€Π°Π·ΠΌΠ΅Ρ€ ΠΈ ΠΏΠΎΠ΄Π²ΠΈΠΆΠ½ΠΎΡΡ‚ΡŒ аминокислотных остатков полости ΠΎΠΊΠΎΠ»ΠΎ Thr90. ΠŸΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ‚ΡΡ, Ρ‡Ρ‚ΠΎ связываниС ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Π° с HSP90 Π½Π΅ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ измСнСнию структуры Π±Π΅Π»ΠΊΠ° ΠΈ Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ‚ Π²Π»ΠΈΡΡ‚ΡŒ Π½Π° Π΅Π³ΠΎ фосфорилированиС, Ρ‡Ρ‚ΠΎ отчасти ΠΌΠΎΠΆΠ΅Ρ‚ ΠΎΠ±ΡŠΡΡΠ½ΠΈΡ‚ΡŒ Π½Π΅Π²Ρ‹ΡΠΎΠΊΡƒΡŽ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Ρ‚Π°ΠΊΠΎΠ³ΠΎ Ρ‚ΠΈΠΏΠ° ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² Π² Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π ΠŸΠ–

    ΠšΠΎΠ½ΡΡ‚Ρ€ΡƒΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ экспрСссия Ρ…ΠΈΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ Π³Π΅Π½Π° Ρ€Π΅Π½Π°Π»Π°Π·Ρ‹ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΠΊΠΎΠ΄ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ N-ΠΊΠΎΠ½Ρ†Π΅Π²ΡƒΡŽ ΡΠΈΠ³Π½Π°Π»ΡŒΠ½ΡƒΡŽ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ сСкрСторного Π±Π΅Π»ΠΊΠ° ΠΏΡ€ΠΎΠ»Π°ΠΊΡ‚ΠΈΠ½Π°

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    Renalase (RNLS) is a protein that performs various protective functions both inside and outside cells. Intracellular RNLS is a FAD-dependent oxidoreductase (EC 1.6.3.5). Extracellular RNLS lacking an N-terminal peptide does not interact with FAD and exhibits various protective effects on the cell through interaction with receptor proteins. The mechanisms and factors responsible for RNLS transport out of the cell are not fully understood. It is well known that the signal sequence plays a key role in the classical mechanism of protein transport outside cells. One of the approaches to study the secretion of RNLS from the cell can be the creation of chimeric forms of the protein with a modified N-terminal amino acid signal sequence. Bioinformatics analysis showed that the signal sequence of the prolactin gene (PRL), connected to the template sequence of the RNLS gene, gave the classic signal characteristic of secretory proteins. On this basis, this paper describes: (i) a method for constructing the human RNLS gene in which the N-terminal sequence encoded by the RNLS gene was replaced by the N-terminal sequence encoded by the PRL gene; (ii) expression of this chimeric genetic construct.Π Π΅Π½Π°Π»Π°Π·Π° (RNLS) - Π±Π΅Π»ΠΎΠΊ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ выполняСт Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ Π·Π°Ρ‰ΠΈΡ‚Π½Ρ‹Π΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ ΠΊΠ°ΠΊ Π²Π½ΡƒΡ‚Ρ€ΠΈ, Ρ‚Π°ΠΊ ΠΈ снаруТи ΠΊΠ»Π΅Ρ‚ΠΎΠΊ. ВнутриклСточная RNLS проявляСт свойства FAD-зависимой оксидорСдуктазы (КЀ 1.6.3.5). ВнСклСточная RNLS, лишСнная N-ΠΊΠΎΠ½Ρ†Π΅Π²ΠΎΠ³ΠΎ ΠΏΠ΅ΠΏΡ‚ΠΈΠ΄Π°, Π½Π΅ взаимодСйствуСт с FAD, проявляСт Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ Π·Π°Ρ‰ΠΈΡ‚Π½Ρ‹Π΅ эффСкты Π½Π° ΠΊΠ»Π΅Ρ‚ΠΊΡƒ посрСдством взаимодСйствия Π½Π° Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π½Ρ‹Π΅ Π±Π΅Π»ΠΊΠΈ. ΠœΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΡ‹ ΠΈ Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹, отвСтствСнныС Π·Π° транспорт RNLS ΠΈΠ· ΠΊΠ»Π΅Ρ‚ΠΊΠΈ, Π΄ΠΎ ΠΊΠΎΠ½Ρ†Π° Π½Π΅ ΠΈΠ·ΡƒΡ‡Π΅Π½Ρ‹. Π₯ΠΎΡ€ΠΎΡˆΠΎ извСстно, Ρ‡Ρ‚ΠΎ сигнальная ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΈΠ³Ρ€Π°Π΅Ρ‚ ΠΊΠ»ΡŽΡ‡Π΅Π²ΡƒΡŽ Ρ€ΠΎΠ»ΡŒ Π² классичСском ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ΅ транспорта Π²Π½ΡƒΡ‚Ρ€ΠΈΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… Π±Π΅Π»ΠΊΠΎΠ². Одним ΠΈΠ· ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² для изучСния сСкрСции RNLS ΠΈΠ· ΠΊΠ»Π΅Ρ‚ΠΊΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ созданиС Ρ…ΠΈΠΌΠ΅Ρ€Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ Π±Π΅Π»ΠΊΠ° с ΠΌΠΎΠ΄ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ N-ΠΊΠΎΠ½Ρ†Π΅Π²ΠΎΠΉ сигнальной аминокислотной ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. БиоинформатичСский Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π», Ρ‡Ρ‚ΠΎ сигнальная ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π³Π΅Π½Π° ΠΏΡ€ΠΎΠ»Π°ΠΊΡ‚ΠΈΠ½Π° (PRL), соСдинСнная с ΠΌΠ°Ρ‚Ρ€ΠΈΡ‡Π½ΠΎΠΉ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ Π³Π΅Π½Π° RNLS, Π΄Π°Π²Π°Π»Π° классичСский сигнал, свойствСнный сСкрСторным Π±Π΅Π»ΠΊΠ°ΠΌ. Π˜ΡΡ…ΠΎΠ΄Ρ ΠΈΠ· этого, Π² Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅: (i) описан ΠΌΠ΅Ρ‚ΠΎΠ΄ конструирования Π³Π΅Π½Π° RNLS Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ N-концСвая ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, кодируСмая Π³Π΅Π½ΠΎΠΌ RNLS, Π±Ρ‹Π»Π° Π·Π°ΠΌΠ΅Π½Π΅Π½Π° Π½Π° N-ΠΊΠΎΠ½Ρ†Π΅Π²ΡƒΡŽ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, ΠΊΠΎΠ΄ΠΈΡ€ΡƒΠ΅ΠΌΡƒΡŽ Π³Π΅Π½ΠΎΠΌ PRL; (ii) ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° экспрСссия этой Ρ…ΠΈΠΌΠ΅Ρ€Π½ΠΎΠΉ гСнСтичСской конструкции

    Toxin-antitoxin systems: A tool for taxonomic analysis of human intestinal microbiota

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    The human gastrointestinal microbiota (HGM) is known for its rich diversity of bacterial species and strains. Yet many studies stop at characterizing theHGMat the family level. This is mainly due to lack of adequate methods for a high-resolution profiling of the HGM. One way to characterize the strain diversity of the HGM is to look for strain-specific functional markers. Here, we propose using type II toxin-antitoxin systems (TAS). To identify TAS systems in the HGM, we previously developed the software TAGMA. This software was designed to detect the TAS systems, MazEF and RelBE, in lactobacilli and bifidobacteria. In this study, we updated the gene catalog created previously and used it to test our software anew on 1346 strains of bacteria, which belonged to 489 species and 49 genera. We also sequenced the genomes of 20 fecal samples and analyzed the results with TAGMA. Although some differences were detected at the strain level, the results showed no particular difference in the bacterial species between our method and other classic analysis software. These results support the use of the updated catalog of genes encoding type II TAS as a useful tool for computer-assisted species and strain characterization of the HGM. Β© 2020 by the authors
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