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Andrey Palyanov
Andrey Palyanov
A.P. Ershov Intitute of Informatics Systems
Verified email at iis.nsk.su - Homepage
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Cited by
Cited by
Year
OpenWorm: an open-science approach to modeling Caenorhabditis elegans
B Szigeti, P Gleeson, M Vella, S Khayrulin, A Palyanov, J Hokanson, ...
Frontiers in computational neuroscience 8, 137, 2014
1812014
OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans
GP Sarma, CW Lee, T Portegys, V Ghayoomie, T Jacobs, B Alicea, ...
Philosophical Transactions of the Royal Society B 373 (1758), 20170382, 2018
1342018
AUG_hairpin: prediction of a downstream secondary structure influencing the recognition of a translation start site
AV Kochetov, A Palyanov, II Titov, D Grigorovich, A Sarai, NA Kolchanov
BMC bioinformatics 8, 1-7, 2007
582007
Towards a virtual C. elegans: A framework for simulation and visualization of the neuromuscular system in a 3D physical environment
A Palyanov, S Khayrulin, SD Larson, A Dibert
In silico biology 11 (3-4), 137-147, 2012
492012
Application of smoothed particle hydrodynamics to modeling mechanisms of biological tissue
A Palyanov, S Khayrulin, SD Larson
Advances in Engineering Software 98, 1-11, 2016
472016
Three-dimensional simulation of the Caenorhabditis elegans body and muscle cells in liquid and gel environments for behavioural analysis
A Palyanov, S Khayrulin, SD Larson
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
372018
Hydrodynamic description of protein folding
SF Chekmarev, AY Palyanov, M Karplus
Physical review letters 100 (1), 018107, 2008
262008
Deploying and optimizing embodied simulations of large-scale spiking neural networks on HPC infrastructure
B Feldotto, JM Eppler, C Jimenez-Romero, C Bignamini, CE Gutierrez, ...
Frontiers in neuroinformatics 16, 884180, 2022
142022
Insights from the HuR-interacting transcriptome: ncRNAs, ubiquitin pathways, and patterns of secondary structure dependent RNA interactions
G St Laurent, D Shtokalo, M Heydarian, A Palyanov, D Babiy, J Zhou, ...
Molecular genetics and genomics 287, 867-879, 2012
132012
A lattice protein with an amyloidogenic latent state: Stability and folding kinetics
AY Palyanov, SV Krivov, M Karplus, SF Chekmarev
The Journal of Physical Chemistry B 111 (10), 2675-2687, 2007
132007
From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to …
A Ferrario, A Palyanov, S Koutsikou, W Li, S Soffe, A Roberts, R Borisyuk
PLoS Computational Biology 17 (12), e1009654, 2021
102021
The OpenWorm Project: currently available resources and future plans
P Gleeson, M Cantarelli, M Currie, J Hokanson, G Idili, S Khayrulin, ...
BMC neuroscience 16 (Suppl 1), P141, 2015
72015
The NeuroML C. elegans connectome
T Busbice, P Gleeson, S Khayrulin, M Cantarelli, A Dibert, G Idili, ...
Neuroinf. Abstract book, 82-83, 2012
72012
On Separation between Metric Observers in Segal’s Compact Cosmos
A Levichev, A Palyanov
Journal of Modern Physics 6 (14), 2040-2049, 2015
62015
Some details of signal propagation in the nervous system of C. elegans
AY Palyanov, AS Ratushnyak
Russian Journal of Genetics: Applied Research 5, 642-649, 2015
62015
Sibernetic: A software complex based on the PCI SPH algorithm aimed at simulation problems in biomechanics
AY Palyanov, SS Khayrulin
Russian Journal of Genetics: Applied Research 5, 635-641, 2015
62015
Программная среда для изучения и моделирования нейромышечной системы нематоды C. elegans в физическом окружении.
АЮ Пальянов, АА Диберт
Перспективы систем информатики, 217-220, 2009
62009
The Wigner-Segal method as applied to the problem of quarks' and leptons' generations
HP Jakobsen, AV Levichev, AY Palyanov
Знания-Онтологии-Теории (ЗОНТ-2021), 349-357, 2021
52021
Integration of predictive-corrective incompressible SPH and Hodgkin-Huxley based models in the OpenWorm in silico model of C. elegans
M Vella, A Palyanov, P Gleeson, S Khayrulin
BMC Neuroscience 14, 1-1, 2013
52013
Standard charges of quarks determination in terms of the multi-level model
AV Levichev, AY Palyanov
Знания-Онтологии-Теории (ЗОНТ-2019), 222-226, 2019
42019
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