TY  - JOUR
AU  - Marlani, Maia
AU  - Nadaraia, Nanuli
AU  - Barbakadze, Nana
AU  - Amiranashvili, Lela
AU  - Kakhabrishvili, M
AU  - Petrou, Anthi
AU  - Carević, Tamara
AU  - Glamočlija, Jasmina
AU  - Geronikaki, Athina
PY  - 2024
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/6556
AB  - Most of pharmaceutical agents display several or even many biological activities. It is obvious that testing even one compound for thousands of biological activities is a practically not reasonable task. Therefore, computer-aided prediction is the method of choice for the selection of the most promising bioassays for particular compounds. Using PASS Online software, we determined the probable antimicrobial activity of the 31 steroid derivatives. Experimental testing of the antimicrobial activity of the tested compounds by microdilution method confirmed the computational predictions. Furthermore, P. aeruginosa and C. albicans biofilm formation was investigated. Compound 11 showed a biofilm reduction by 42.26% at the MIC of the tested compound. The percentages are lower than ketoconazole, but very close to its activity.
PB  - Abingdon: Taylor and Francis
T2  - SAR and QSAR in Environmental Research
T1  - Steroidal hydrazones as antimicrobial agents: biological evaluation and molecular docking studies
IS  - 2
VL  - 35
DO  - 10.1080/1062936X.2024.2309183
SP  - 137
EP  - 155
ER  - 

@article{
author = "Marlani, Maia and Nadaraia, Nanuli and Barbakadze, Nana and Amiranashvili, Lela and Kakhabrishvili, M and Petrou, Anthi and Carević, Tamara and Glamočlija, Jasmina and Geronikaki, Athina",
year = "2024",
abstract = "Most of pharmaceutical agents display several or even many biological activities. It is obvious that testing even one compound for thousands of biological activities is a practically not reasonable task. Therefore, computer-aided prediction is the method of choice for the selection of the most promising bioassays for particular compounds. Using PASS Online software, we determined the probable antimicrobial activity of the 31 steroid derivatives. Experimental testing of the antimicrobial activity of the tested compounds by microdilution method confirmed the computational predictions. Furthermore, P. aeruginosa and C. albicans biofilm formation was investigated. Compound 11 showed a biofilm reduction by 42.26% at the MIC of the tested compound. The percentages are lower than ketoconazole, but very close to its activity.",
publisher = "Abingdon: Taylor and Francis",
journal = "SAR and QSAR in Environmental Research",
title = "Steroidal hydrazones as antimicrobial agents: biological evaluation and molecular docking studies",
number = "2",
volume = "35",
doi = "10.1080/1062936X.2024.2309183",
pages = "137-155"
}

Marlani, M., Nadaraia, N., Barbakadze, N., Amiranashvili, L., Kakhabrishvili, M., Petrou, A., Carević, T., Glamočlija, J.,& Geronikaki, A.. (2024). Steroidal hydrazones as antimicrobial agents: biological evaluation and molecular docking studies. in SAR and QSAR in Environmental Research
Abingdon: Taylor and Francis., 35(2), 137-155.
https://doi.org/10.1080/1062936X.2024.2309183

Marlani M, Nadaraia N, Barbakadze N, Amiranashvili L, Kakhabrishvili M, Petrou A, Carević T, Glamočlija J, Geronikaki A. Steroidal hydrazones as antimicrobial agents: biological evaluation and molecular docking studies. in SAR and QSAR in Environmental Research. 2024;35(2):137-155.
doi:10.1080/1062936X.2024.2309183 .

Marlani, Maia, Nadaraia, Nanuli, Barbakadze, Nana, Amiranashvili, Lela, Kakhabrishvili, M, Petrou, Anthi, Carević, Tamara, Glamočlija, Jasmina, Geronikaki, Athina, "Steroidal hydrazones as antimicrobial agents: biological evaluation and molecular docking studies" in SAR and QSAR in Environmental Research, 35, no. 2 (2024):137-155,
https://doi.org/10.1080/1062936X.2024.2309183 . .