D
Dávid Fazekas
Researcher at Eötvös Loránd University
Publications - 26
Citations - 917
Dávid Fazekas is an academic researcher from Eötvös Loránd University. The author has contributed to research in topics: Biology & BioPAX : Biological Pathways Exchange. The author has an hindex of 13, co-authored 22 publications receiving 733 citations. Previous affiliations of Dávid Fazekas include Norwich University & Hungarian Academy of Sciences.
Papers
More filters
Journal ArticleDOI
SignaLink 2 - a signaling pathway resource with multi-layered regulatory networks
Dávid Fazekas,Mihaly Koltai,Mihaly Koltai,Dénes Türei,Dénes Türei,Dezső Módos,Dezső Módos,Máté Pálfy,Zoltán Dúl,Zoltán Dúl,Lilian Zsákai,Lilian Zsákai,Máté Szalay-Bekő,Katalin Lenti,Katalin Lenti,Illés J. Farkas,Tibor Vellai,Peter Csermely,Tamas Korcsmaros,Tamas Korcsmaros +19 more
TL;DR: With SignaLink 2 as a single resource, users can effectively analyze signaling pathways, scaffold proteins, modifier enzymes, transcription factors and miRNAs that are important in the regulation of signaling processes.
Journal ArticleDOI
The NRF2-related interactome and regulome contain multifunctional proteins and fine-tuned autoregulatory loops
Diana Papp,Katalin Lenti,Dezső Módos,Dezső Módos,Dávid Fazekas,Zoltán Dúl,Dénes Türei,Dénes Türei,László Földvári-Nagy,Ruth Nussinov,Ruth Nussinov,Peter Csermely,Tamas Korcsmaros,Tamas Korcsmaros +13 more
TL;DR: A systems‐level resource for NRF2 interactome and regulome that includes 289 protein–protein, 7469 TF–DNA and 85 miRNA interactions is presented and the uncovered regulatory loops may facilitate the development of efficient,NRF2‐based therapeutic agents.
Journal ArticleDOI
ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis.
Daniel V. Veres,David M. Gyurko,Benedek Thaler,Kristof Z. Szalay,Dávid Fazekas,Tamas Korcsmaros,Peter Csermely +6 more
TL;DR: ComPPI as mentioned in this paper is a cellular compartment-specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network analysis, which enables the user to filter biologically unlikely interactions, where the two interacting proteins have no common subcellular localizations and to predict novel properties.
Journal ArticleDOI
ComPPI, a cellular compartment-specific database for protein-protein interaction network analysis
Daniel V. Veres,David M. Gyurko,Benedek Thaler,Kristof Z. Szalay,Dávid Fazekas,Tamas Korcsmaros,Peter Csermely +6 more
TL;DR: Due to its novel features, ComPPI is useful for the analysis of experimental results in biochemistry and molecular biology, as well as for proteome-wide studies in bioinformatics and network science helping cellular biology, medicine and drug design.
Journal ArticleDOI
Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery
Tamas Korcsmaros,Illés J. Farkas,Máté S. Szalay,Petra Rovó,Dávid Fazekas,Zoltan Spiro,Csaba Böde,Katalin Lenti,Tibor Vellai,Peter Csermely +9 more
TL;DR: SignaLink, a database containing eight major signaling pathways from Caenorhabditis elegans, Drosophila melanogaster and humans, is presented, providing a novel resource for comparative and cross-talk analyses of signaling pathways.