Search Results - "Tetko, I.V."

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    Parvalbumin deficiency affects network properties resulting in increased susceptibility to epileptic seizures by Schwaller, B, Tetko, I.V, Tandon, P, Silveira, D.C, Vreugdenhil, M, Henzi, T, Potier, M.-C, Celio, M.R, Villa, A.E.P

    Published in Molecular and cellular neuroscience (01-04-2004)
    “…Networks of GABAergic interneurons are of utmost importance in generating and promoting synchronous activity and are involved in producing coherent…”
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    Journal Article
  3. 3

    Beware of proper validation of models for ionic Liquids by Makarov, D.M., Fadeeva, Yu.A., Shmukler, L.E., Tetko, I.V.

    Published in Journal of molecular liquids (15-12-2021)
    “…•The traditional validation of ionic liquids models based on random training/test split may overestimate accuracy of models.•A rigorous mixtures validation…”
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    Journal Article
  4. 4

    Application of Associative Neural Networks for Prediction of Lipophilicity in ALOGPS 2.1 Program by Tetko, Igor V, Tanchuk, Vsevolod Yu

    “…This article provides a systematic study of several important parameters of the Associative Neural Network (ASNN), such as the number of networks in the…”
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    Journal Article
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    Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices by Tetko, Igor V, Tanchuk, Vsevolod Yu, Kasheva, Tamara N, Villa, Alessandro E. P

    “…The molecular weight and electrotopological E-state indices were used to estimate by Artificial Neural Networks aqueous solubility for a diverse set of 1291…”
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    Journal Article
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    Separation of sequences from host–pathogen interface using triplet nucleotide frequencies by Emmersen, Jeppe, Rudd, Stephen, Mewes, Hans-Werner, Tetko, Igor V.

    Published in Fungal genetics and biology (01-04-2007)
    “…The identification of genes involved in host–pathogen interactions is important for the elucidation of mechanisms of disease resistance and host…”
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    Journal Article
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    Different tonic regulation of neuronal activity in the rat dorsal raphe and medial prefrontal cortex via 5-HT 1A receptors by Hajós, M., Hoffmann, W.E., Tetko, I.V., Hyland, B., Sharp, T., Villa, A.E.P.

    Published in Neuroscience letters (2001)
    “…It has been established that 5-HT 1A receptors are expressed both presynaptically as autoreceptors by 5-HT containing neurones, and postsynaptically by a…”
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    Journal Article
  9. 9

    Dopamine modulation of glutamate metabotropic receptors in conditioned reaction of sensory motor cortex neurons of the cat by Storozhuk, V.M, Khorevin, V.I, Rozumna, N.M, Villa, A.E.P, Tetko, I.V

    Published in Neuroscience letters (12-02-2004)
    “…The dopamine modulation of microiontophoretic application of antagonists of glutamate metabotropic synaptic transmission was studied in the sensory motor…”
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    Journal Article
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    Dopamine modulation of activity of cat sensorimotor cortex neurons during conditioned reflexes by Storozhuk, V.M, Khorevin, V.I, Rozumna, N.M, Villa, A.E.P, Tetko, I.V

    Published in Neuroscience letters (20-09-2002)
    “…The effects of iontophoretic application of dopamine and selective D1 or D2 dopamine receptor agonists and antagonists on impulse activity of neurons of the…”
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    Journal Article
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    Electronic-Topological Investigation of theStructure - Acetylcholinesterase Inhibitor Activity Relationship in the Series of N-Benzylpiperidine Derivatives by Dimoglo, A.S., Shvets, N.M., Tetko, I.V., Livingstone, D.J.

    “…“Structure – acetylcholinesterase (AChE) inhibitor activity” relationship studies have been performed for three series of N‐benzylpiperidine derivatives using…”
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    Journal Article
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    Evaluation of potential HIV-1 reverse transcriptase inhibitors by artificial neural networks by Tetko, I.V., Tanchuk, V.Yu, Luik, A.I.

    “…Artificial neural networks were used to analyze the human immunodeficiency virus type 1 reverse transcriptase inhibitors and to evaluate newly synthesized…”
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    Conference Proceeding
  13. 13

    Simple heuristic methods for input parameters' estimation in neural networks by Tetko, I.V., Tanchuk, V.Yu, Luik, A.I.

    “…We propose simple heuristic methods that can evaluate the relevance of input parameters after completing neural network training. Besides that, these methods…”
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    Conference Proceeding