Daniel V Veres
Daniel V Veres
Semmelweis University, Department of Medical Chemistry
Verified email at med.semmelweis-univ.hu
Title
Cited by
Cited by
Year
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
712012
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
662015
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
652015
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 (9), 90, 2009
402009
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
232013
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), 1-11, 2018
92018
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
62019
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
52019
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
52017
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
32020
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 (1), 1-1, 2018
2018
A sejtkompartmentek rendszerbiológiájának elemzése, mint a rák kialakulásának egyik új vizsgálati módszere
D Veres
2018
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