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Daniel V. Veres
Daniel V. Veres
Biology
Artificial intelligence
Machine learning
Computational biology
Cancer
5
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47
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Translocatome: a novel resource for the analysis of protein translocation between cellular organelles.
2019
arXiv: Molecular Networks
Peter Mendik
Levente Dobronyi
Ferenc Hari
Csaba Kerepesi
Leonardo Maia-Moco
Donat Buszlai
Peter Csermely
Daniel V. Veres
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The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks
2019
arXiv: Molecular Networks
Bence Ágg
Andrea Császár
Máté Szalay-Beko
Daniel V. Veres
Reka Mizsei
Peter Ferdinandy
Peter Csermely
István A. Kovács
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Cancer stem cells display extremely large evolvability: Alternating plastic and rigid networks as a potential Mechanism. Network models, novel therapeutic target strategies, and the contributions of hypoxia, inflammation and cellular senescence.
2015
Seminars in Cancer Biology
Peter Csermely
János Hódsági
Tamás Korcsmáros
Dezso Modos
Aron R. Perez-Lopez
Kristof Z. Szalay
Daniel V. Veres
Katalin Lenti
Ling-Yun Wu
Xiang-Sun Zhang
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Citations (44)
Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism
2013
arXiv: Molecular Networks
Peter Csermely
János Hódsági
Tamás Korcsmáros
Dezso Modos
Aron R. Perez-Lopez
Kristof Z. Szalay
Daniel V. Veres
Katalin Lenti
Ling-Yun Wu
Xiang-Sun Zhang
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Disordered proteins and network disorder in network descriptions of protein structure, dynamics and function. Hypotheses and a comprehensive review
2011
arXiv: Molecular Networks
Peter Csermely
Kuljeet Singh Sandhu
Eszter Hazai
Zsolt Hoksza
Huba Kiss
Federico Miozzo
Daniel V. Veres
Francesco Piazza
Ruth Nussinov
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