Results 1 to 10 of about 5,490,229 (291)

Prioritization of biological processes based on the reconstruction and analysis of associative gene networks describing the response of plants to adverse environmental factors [PDF]

Вавиловский журнал генетики и селекции, 2021
Methods for prioritizing or ranking candidate genes according to their importance based on specific criteria via the analysis of gene networks are widely used in biomedicine to search for genes associated with diseases and to predict biomarkers ...
P. S. Demenkov, E. A. Oshchepkova, T. V. Ivanisenko, V. A. Ivanisenko   +3 more
doaj   +2 more sources

Associative gene networks reveal novel candidates important for ADHD and dyslexia comorbidity [PDF]

BMC Medical Genomics, 2023
Background Attention deficit hyperactivity disorder (ADHD) is commonly associated with developmental dyslexia (DD), which are both prevalent and complicated pediatric neurodevelopmental disorders that have a significant influence on children’s learning ...
HE Hongyao, JI Chun, Gao Xiaoyan, Liu Fangfang, Zhang Jing, Zhong Lin, Zuo Pengxiang, Li Zengchun   +7 more
doaj   +2 more sources

Prioritization of genes involved in endothelial cell apoptosis by their implication in lymphedema using an analysis of associative gene networks with ANDSystem [PDF]

BMC Medical Genomics, 2019
Background Currently, more than 150 million people worldwide suffer from lymphedema. It is a chronic progressive disease characterized by high-protein edema of various parts of the body due to defects in lymphatic drainage.
Olga V. Saik, Vadim V. Nimaev, Dilovarkhuja B. Usmonov, Pavel S. Demenkov, Timofey V. Ivanisenko, Inna N. Lavrik, Vladimir A. Ivanisenko   +6 more
doaj   +2 more sources

Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks [PDF]

BMC Medical Genomics, 2018
Background Hypertension and bronchial asthma are a major issue for people’s health. As of 2014, approximately one billion adults, or ~ 22% of the world population, have had hypertension.
Olga V. Saik, Pavel S. Demenkov, Timofey V. Ivanisenko, Elena Yu Bragina, Maxim B. Freidin, Irina A. Goncharova, Victor E. Dosenko, Olga I. Zolotareva, Ralf Hofestaedt, Inna N. Lavrik, Evgeny I. Rogaev, Vladimir A. Ivanisenko   +11 more
doaj   +2 more sources

A new version of the ANDSystem tool for automatic extraction of knowledge from scientific publications with expanded functionality for reconstruction of associative gene networks by considering tissue-specific gene expression [PDF]

BMC Bioinformatics, 2019
Background Consideration of tissue-specific gene expression in reconstruction and analysis of molecular genetic networks is necessary for a proper description of the processes occurring in a specified tissue.
Vladimir A. Ivanisenko, Pavel S. Demenkov, Timofey V. Ivanisenko, Elena L. Mishchenko, Olga V. Saik   +4 more
doaj   +2 more sources

Prioritization of potential pharmacological targets for the development of anti-hepatocarcinoma drugs modulating the extrinsic apoptosis pathway: the reconstruction and analysis of associative gene networks help [PDF]

Вавиловский журнал генетики и селекции, 2023
Hepatocellular carcinoma (HCC) is a common severe type of liver cancer characterized by an extremely aggressive course and low survival rates. It is known that disruptions in the regulation of apoptosis activation are some of the key features inherent in
P. S. Demenkov, E. A. Antropova, A. V. Adamovskaya, E. I. Mishchenko, T. M. Khlebodarova, T. V. Ivanisenko, N. V. Ivanisenko, A. S. Venzel, I. N. Lavrik, V. A. Ivanisenko   +9 more
doaj   +2 more sources

Searching for biological processes as targets for rheumatoid arthritis targeted therapy with AND-System, an integrated software and information platform [PDF]

Вавиловский журнал генетики и селекции
Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized primarily by joint involvement with progressive destruction of cartilage and bone tissue.
E. L. Mishchenko, I. V. Yatsyk, P. S. Demenkov, A. V. Adamovskaya, T. V. Ivanisenko, M. A. Kleshchev, V. A. Ivanisenko   +6 more
doaj   +2 more sources

Evolution of associative learning in chemical networks.

PLoS Computational Biology, 2012
Organisms that can learn about their environment and modify their behaviour appropriately during their lifetime are more likely to survive and reproduce than organisms that do not. While associative learning - the ability to detect correlated features of
Simon McGregor, Vera Vasas, Phil Husbands, Chrisantha Fernando   +3 more
doaj   +3 more sources

Prediction of interactions between the SARS-CoV-2 ORF3a protein and small-molecule ligands using the AND-System cognitive platform, graph neural networks, and molecular [PDF]

Вавиловский журнал генетики и селекции
In recent years, artificial intelligence methods based on the analysis of heterogeneous graphs of biomedical networks have become widely used for predicting molecular interactions.
T. V. Ivanisenko, P. S. Demenkov, M. A. Kleshchev, V. A. Ivanisenko   +3 more
doaj   +2 more sources

Gene regulatory networks exhibit several kinds of memory: Quantification of memory in biological and random transcriptional networks

iScience, 2021
Summary: Gene regulatory networks (GRNs) process important information in developmental biology and biomedicine. A key knowledge gap concerns how their responses change over time.
Surama Biswas, Santosh Manicka, Erik Hoel, Michael Levin   +3 more
doaj   +1 more source