Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Veres, Dániel V."'
Autor:
Veres, Tamas, Kerestely, Mark, Kovacs, Borbala M., Keresztes, David, Schulc, Klara, Seitz, Erik, Vassy, Zsolt, Veres, Daniel V., Csermely, Peter
Publikováno v:
Cellular and Molecular Life Sciences (2024) 81,97
Recent findings show that single, non-neuronal cells are also able to learn signalling responses developing cellular memory. In cellular learning nodes of signalling networks strengthen their interactions e.g. by the conformational memory of intrinsi
Externí odkaz:
http://arxiv.org/abs/2312.16875
Autor:
Csermely, Péter, Kunsic, Nina, Mendik, Péter, Kerestély, Márk, Faragó, Teodóra, Veres, Dániel V., Tompa, Péter
Publikováno v:
Trends in Biochemical Sciences (2020) 45, 284-294
Molecular processes of neuronal learning have been well-described. However, learning mechanisms of non-neuronal cells have not been fully understood at the molecular level. Here, we discuss molecular mechanisms of cellular learning, including conform
Externí odkaz:
http://arxiv.org/abs/2001.11679
Autor:
Agg, Bence, Csaszar, Andrea, Szalay-Beko, Mate, Veres, Daniel V., Mizsei, Reka, Ferdinandy, Peter, Csermely, Peter, Kovacs, Istvan A.
Publikováno v:
Bioinformatics 2019 35, 4490-4492
Motivation: Network visualizations of complex biological datasets usually result in 'hairball' images, which do not discriminate network modules. Results: We present the EntOptLayout Cytoscape plug-in based on a recently developed network representat
Externí odkaz:
http://arxiv.org/abs/1904.03910
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mendik, Peter, Dobronyi, Levente, Hari, Ferenc, Kerepesi, Csaba, Maia-Moco, Leonardo, Buszlai, Donat, Csermely, Peter, Veres, Daniel V.
Publikováno v:
Nucleic Acid Research 2019 47, D495-D505
Here we present Translocatome, the first dedicated database of human translocating proteins. The core of the Translocatome database is the manually curated data set of 213 human translocating proteins listing the source of their experimental validati
Externí odkaz:
http://arxiv.org/abs/1810.06352
Autor:
Veres, Daniel V., Gyurko, David M., Thaler, Benedek, Szalay, Kristof Z., Fazekas, David, Korcsmaros, Tamas, Csermely, Peter
Publikováno v:
Nucleic Acid Research 2015 43, Database Issue, D485-D493 (2015)
Here we present ComPPI, a cellular compartment specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network analysis (http://ComPPI.LinkGroup.hu). ComPPI enables the user to filter
Externí odkaz:
http://arxiv.org/abs/1410.2494
Autor:
Csermely, Peter, Hodsagi, Janos, Korcsmaros, Tamas, Modos, Dezso, Perez-Lopez, Aron R., Szalay, Kristof, Veres, Daniel V., Lenti, Katalin, Wu, Ling-Yun, Zhang, Xiang-Sun
Publikováno v:
Seminars in Cancer Biology 30 (2015) 42-51
Cancer is increasingly perceived as a systems-level, network phenomenon. The major trend of malignant transformation can be described as a two-phase process, where an initial increase of network plasticity is followed by a decrease of plasticity at l
Externí odkaz:
http://arxiv.org/abs/1312.6356
Autor:
Szalai, Bence1 bence.szalai@turbine.ai, Veres, Dániel V.1,2
Publikováno v:
Frontiers in Systems Biology. 2/9/2023, Vol. 3, p1-11. 11p.
Autor:
Gyurko, David M., Veres, Daniel V., Modos, Dezso, Lenti, Katalin, Korcsmaros, Tamas, Csermely, Peter
Publikováno v:
Seminars in Cancer Biology 23 (2013) 262-269
There is a widening recognition that cancer cells are products of complex developmental processes. Carcinogenesis and metastasis formation are increasingly described as systems-level, network phenomena. Here we propose that malignant transformation i
Externí odkaz:
http://arxiv.org/abs/1306.3371