Zobrazeno 1 - 9
of 9
pro vyhledávání: '"I. V. Tetko"'
Autor:
C. Škuta, I. Cortés-Ciriano, W. Dehaen, P. Kříž, G. J. P. van Westen, I. V. Tetko, A. Bender, D. Svozil
Publikováno v:
Journal of Cheminformatics, Vol 12, Iss 1, Pp 1-16 (2020)
Abstract An affinity fingerprint is the vector consisting of compound’s affinity or potency against the reference panel of protein targets. Here, we present the QAFFP fingerprint, 440 elements long in silico QSAR-based affinity fingerprint, compone
Externí odkaz:
https://doaj.org/article/030fcddcbd334c029e28370217cfcb3d
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 2 (2019)
The present study introduces an approach for automatic classification of extracellularly recorded action potentials of neurons based on geometrical approach. Neuronal spikes are considered as geometrical objects, namely trajectories in phase space. I
Externí odkaz:
https://doaj.org/article/1da58b9c2a8c44c393a8ed904c35f43e
Publikováno v:
Neuroscience and behavioral physiology. 33(5)
Changes in conditioned reflex spike activity of neurons in the sensorimotor cortex were studied during microiontophoretic application of agonists and antagonists of glutamate and GABAergic transmission. The results of these experiments showed that th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7a18cdf7e243197269357e6a253dd65f
https://pubmed.ncbi.nlm.nih.gov/12921179
https://pubmed.ncbi.nlm.nih.gov/12921179
Publikováno v:
Bioorganicheskaia khimiia. 27(4)
A volume learning algorithm for artificial neural networks was developed to quantitatively describe the three-dimensional structure-activity relationships using as an example N-benzylpiperidine derivatives. The new algorithm combines two types of neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::dc31f93f8e4870f9765c0935f4379717
https://pubmed.ncbi.nlm.nih.gov/11558265
https://pubmed.ncbi.nlm.nih.gov/11558265
Publikováno v:
Scottish Graduate Series ISBN: 9780750308229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70a2ff85a82edb618ea5d15c1441beba
https://doi.org/10.1201/9781420033304.ch18
https://doi.org/10.1201/9781420033304.ch18
Publikováno v:
Journal of computer-aided molecular design. 11(2)
The origins and operation of artificial neural networks are briefly described and their early application to data modelling in drug design is reviewed. Four problems in the use of neural networks in data modelling are discussed, namely overfitting, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9b606a4f3a479a3b68521cea983081c6
https://pubmed.ncbi.nlm.nih.gov/9089431
https://pubmed.ncbi.nlm.nih.gov/9089431
Publikováno v:
Bioorganicheskaia khimiia. 21(10)
Based on a set of compounds possessing hypolipidemic activity, it was demonstrated that evolutionary algorithms can be successfully used to compile an informative set of molecular parameters. The parameter sets selected using the method of potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::af5adec043ae6ad23e47c96e1c07928c
https://pubmed.ncbi.nlm.nih.gov/8573213
https://pubmed.ncbi.nlm.nih.gov/8573213
Publikováno v:
Doklady Akademii nauk SSSR. 317(2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2e35e6458d14ba88d0a3570996f693a3
https://pubmed.ncbi.nlm.nih.gov/1663027
https://pubmed.ncbi.nlm.nih.gov/1663027
Autor:
V. N. Synytsky, G. M. Gruzdev, G. E. Trofimchouk, V. I. Voronovskaya, I. V. Tetko, A. E. Villa
Publikováno v:
Neurophysiology; Jul2002, Vol. 34 Issue 4, p313-320, 8p