Daniel V Veres
Daniel V Veres
CSO at Turbine.AI, Research Fellow at Department of Molecular Biology Semmelweis University
Verified email at
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ComPPI: a cellular compartment-specific database for protein–protein interaction network analysis
DV Veres, DM Gyurkó, B Thaler, KZ Szalay, D Fazekas, T Korcsmáros, ...
Nucleic Acids Research 43 (Database issue (2015)), D485-D493, 2015
Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism: network models, novel therapeutic target strategies …
P Csermely, J Hódsági, T Korcsmáros, D Módos, ÁR Perez-Lopez, ...
Seminars in cancer biology 30, 42-51, 2015
Disordered proteins and network disorder in network descriptions of protein structure, dynamics and function: hypotheses and a comprehensive review
P Csermely, K Singh Sandhu, E Hazai, Z Hoksza, H JM Kiss, F Miozzo, ...
Current Protein and Peptide Science 13 (1), 19-33, 2012
Network strategies to understand the aging process and help age-related drug design
GI Simkó, D Gyurkó, DV Veres, T Nánási, P Csermely
Genome medicine 1, 1-7, 2009
Learning of signaling networks: molecular mechanisms
P Csermely, N Kunsic, P Mendik, M Kerestély, T Faragó, DV Veres, ...
Trends in biochemical sciences 45 (4), 284-294, 2020
Adaptation and learning of molecular networks as a description of cancer development at the systems-level: Potential use in anti-cancer therapies
DM Gyurkó, DV Veres, D Módos, K Lenti, T Korcsmáros, P Csermely
Seminars in Cancer Biology 23 (4), 262-269, 2013
The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein–protein interaction and signalling networks
B Ágg, A Császár, M Szalay-Bekő, DV Veres, R Mizsei, P Ferdinandy, ...
Bioinformatics 35 (21), 4490-4492, 2019
MicroRNA interactome analysis predicts post-transcriptional regulation of ADRB2 and PPP3R1 in the hypercholesterolemic myocardium
B Ágg, T Baranyai, A Makkos, B Vető, N Faragó, Á Zvara, Z Giricz, ...
Scientific reports 8 (1), 10134, 2018
Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
P Mendik, L Dobronyi, F Hári, C Kerepesi, L Maia-Moco, D Buszlai, ...
Nucleic Acids Research 47 (D1), D495-D505, 2019
Are rapidly growing cancers more lethal?
HO Adami, P Csermely, DV Veres, L Emilsson, M Lřberg, M Bretthauer, ...
European Journal of Cancer 72, 210-214, 2017
Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model
P Mendik, M Kerestély, S Kamp, D Deritei, N Kunšič, Z Vassy, P Csermely, ...
NPJ Systems Biology and Applications 8 (1), 19, 2022
Modular reorganization of signaling networks during the development of colon adenoma and carcinoma
K Schulc, ZT Nagy, S Kamp, J Molnár, DV Veres, P Csermely, BM Kovács
The Journal of Physical Chemistry B 125 (7), 1716-1726, 2021
Author Correction: MicroRNA interactome analysis predicts post-transcriptional regulation of ADRB2 and PPP3R1 in the hypercholesterolemic myocardium
B Ágg, T Baranyai, A Makkos, B Vető, N Faragó, Á Zvara, Z Giricz, ...
Scientific Reports 8, 2018
Cellular forgetting, desensitisation, stress and ageing in signalling networks. When do cells refuse to learn more?
T Veres, M Kerestély, BM Kovács, D Keresztes, K Schulc, E Seitz, Z Vassy, ...
Cellular and Molecular Life Sciences 81 (1), 1-13, 2024
Simulation driven identification of combinations for the WEE1 inhibitor Debio 0123 results in synergistic effect with cabozantinib validated in vivo
B Elek, AV Chessex, L Piggott, O Papp, I Fekete, D Veres
Cancer Research 84 (6_Supplement), 6507-6507, 2024
18P NEK1 is a novel cancer target driving tumor growth through altered immune signaling
MV Ruiz-Pérez, I Gaspar, I Fekete, C Szántai-Kis, S Connolly, B Elek, ...
ESMO Open 9, 2024
Application of perturbation gene expression profiles in drug discovery—From mechanism of action to quantitative modelling
B Szalai, DV Veres
Frontiers in Systems Biology 3, 1126044, 2023
Combination therapy
ÁL Bartha, BF Elek, I Fekete, K Sebestyén, J Kisistók, P Orsolya, D Veres
US Patent App. 17/788,786, 2023
Network-driven cancer cell avatars for combination discovery and biomarker identification for DNA Damage Response inhibitors
O Papp, V Jordán, S Hetey, R Balázs, Á Bartha, NN Ordasi, S Kamp, ...
bioRxiv, 2023.11. 20.567526, 2023
79P Identification of disordered proteins as potential predictive biomarkers for cancer therapeutics based on network topology analysis
K Schulc, B Kovács, P Csermely, D Veres
Annals of Oncology 33, S1407, 2022
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