V Poroikov
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Explore the profile of V Poroikov including associated specialties, affiliations and a list of published articles.
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18
Citations
310
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Recent Articles
1.
Geronikaki A, Kartsev V, Petrou A, Akrivou M, Vizirianakis I, Chatzopoulou F, et al.
Int J Antimicrob Agents
. 2020 Jan;
55(3):105884.
PMID: 31931149
Griseofulvin is a well-known antifungal drug that was launched in 1962 by Merck & Co. for the treatment of dermatophyte infections. However, according to predictions using the Way2Drug computational drug...
2.
Janardhan S, John L, Prasanthi M, Poroikov V, Sastry G
SAR QSAR Environ Res
. 2017 Nov;
28(10):815-832.
PMID: 29183232
Developing effective inhibitors against Mycobacterium tuberculosis (Mtb) is a challenging task, primarily due to the emergence of resistant strains. In this study, we have proposed and implemented an in silico...
3.
Stasevych M, Zvarych V, Lunin V, Deniz N, Gokmen Z, Akgun O, et al.
SAR QSAR Environ Res
. 2017 May;
28(5):355-366.
PMID: 28524703
Anticancer activity as an associated action for a series of dithiocarbamates of 9,10-anthracenedione was predicted using the PASS computer program and analysed with PharmaExpert software. The predicted cytotoxic activity of...
4.
Konova V, Lagunin A, Pogodin P, Kolotova E, Shtil A, Poroikov V
SAR QSAR Environ Res
. 2015 Sep;
26(7-9):595-604.
PMID: 26358808
Bio- and chemoinformatics methods are widely used for the detection of mechanisms of cancer, to search for potential drug targets and their ligands. Regulatory network analysis based on signalling pathways,...
5.
Filz O, Lagunin A, Filimonov D, Poroikov V
SAR QSAR Environ Res
. 2008 Mar;
19(1-2):81-90.
PMID: 18311636
Drug-induced cardiac arrhythmia is acknowledged as a serious obstacle in successful development of new drugs. Several methods for in silico prediction of acquired long QT syndrome (LQTS) caused by the...
6.
Geronikaki A, Druzhilovsky D, Zakharov A, Poroikov V
SAR QSAR Environ Res
. 2008 Mar;
19(1-2):27-38.
PMID: 18311632
Some computational tools for medicinal chemistry freely available on the Internet were compared to examine whether the results of prediction obtained with different methods coincided or not. It was shown...
7.
Devillers J, Dore J, Guyot M, Poroikov V, Gloriozova T, Lagunin A, et al.
SAR QSAR Environ Res
. 2007 Nov;
18(7-8):629-43.
PMID: 18038364
Over the past decade cyanobacteria have become an interesting source of new classes of pharmacologically active natural products. Some cyanobacterial secondary metabolites (CSMs) are also well known for their toxic...
8.
Devillers J, Marchand-Geneste N, Dore J, Porcher J, Poroikov V
SAR QSAR Environ Res
. 2007 May;
18(3-4):181-93.
PMID: 17514564
A number of chemicals released into the environment have the potential to disturb the normal functioning of the endocrine system. These chemicals termed endocrine disruptors (EDs) act by mimicking or...
9.
Poroikov V, Filimonov D, Lagunin A, Gloriozova T, Zakharov A
SAR QSAR Environ Res
. 2007 Mar;
18(1-2):101-10.
PMID: 17365962
Toxicity of chemical compound is a complex phenomenon that may be caused by its interaction with different targets in the organism. Two distinct types of toxicity can be broadly specified:...
10.
Borodina Y, Rudik A, Filimonov D, Kharchevnikova N, Dmitriev A, Blinova V, et al.
J Chem Inf Comput Sci
. 2004 Nov;
44(6):1998-2009.
PMID: 15554669
A new approach is described that is able to predict the most probable metabolic sites on the basis of a statistical analysis of various metabolic transformations reported in the literature....