Dr Dezso Modos

Researcher

Contact via email

Systems Biology of Gut-Microbe Interactions

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I have completed my medical degree at Semmelweis University. During that time, I got interested in computational systems biology. Then I completed my PhD under Katalin Lenti at the Semmelweis University focusing on networks of cancer cells and understanding the role of paralogues in signaling. Besides, I was also involved in the development of multiple databases transcription factor target layers. I learned basic scripting, statistical analysis and network analysis.

Then I moved to Cambridge to Andreas Bender’s group as a Postdoctoral scientist where I learned machine learning and cheminformatics (https://www.ch.cam.ac.uk/group/bender/). Here, I used my network biological knowledge to understand drug toxicity and synergy.

I joined to the Korcsmaros group at December 2019 (https://quadram.ac.uk/tamas-korcsmaros/). My current projects are focusing on understanding ulcerative colitis pathogenesis and on deciphering host-microbe interactions in the different cell types of the gut using various network biological methods.


Key Publications

Michael P. Menden, Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, AstraZeneca-Sanger Drug Combination DREAM Consortium (including Dezso Modos), In Sock Jang, Zara Ghazoui, Mehmet Eren Ahsen, Robert Vogel, Elias Chaibub Neto, Thea Norman, Eric K. Y. Tang, Mathew J. Garnett, Giovanni Y. Di Veroli, Stephen Fawell, Gustavo Stolovitzky, Justin Guinney, Jonathan R. Dry & Julio Saez-Rodriguez Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen (2019) Nature Communications 10, Article number: 2674
doi:10.1038/s41467-019-09799-2

Dezső Módos, Johanne Brooks, Dávid Fazekas, Eszter Ari, Tibor Vellai, Péter Csermely, Tamás Korcsmáros, and Katalin Lenti: Identification of critical paralog groups with indispensable roles in the regulation of signaling flow (2016) Scientific Reports 6: 38588
doi: 10.1038/srep38588

Dezső Módos János Kubisch, Krishna Bulusu, Dávid Fazekas, István Mercell, Péter M. Szabó, Péter Csermely, Andreas Bender, Katalin Lenti, and Tamás Korcsmáros: Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anti-cancer therapies. (2018) npj Systems Biology and Applications
doi: 10.1038/s41540-017-0003-6

Benjamin Alexander-Dann, Lavinia Lorena Pruteanu, Erin Oerton, Nitin Sharma, Ioana Berindan-Neagoe, Dezső Módos and Andreas Bender: Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data Molecular Omics 2018
doi: 10.1039/C8MO00042E

Turei D,Valdeolivas A,Gul L,Palacio-Escat N,Klein M,Ivanova O,Olbei M,Gabor A,Theis F,Modos D,Korcsmaros T,Saez-Rodriguez J. (2021)

Integrated intra- and intercellular signaling knowledge for multicellular omics analysis

Molecular Systems Biology


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Olbei M,Hautefort I,Modos D,Treveil A,Poletti M,Gul L,Shannon-Lowe C,Korcsmaros T. (2021)

SARS-CoV-2 causes a different cytokine response compared to other cytokine storm-causing respiratory viruses in severely ill patients

Frontiers in Immunology


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Treveil A,Bohar B,Sudhakar P,Gul L,Csabai L,Olbei M,Poletti M,Madgwick M,Andrighetti T,Hautefort I,Modos D,Korcsmaros T. (2021)

ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways

PLoS Computational Biology


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Allahgholi M,Rahmani H,Javdani D,Weiss G,Modos D. (2020)

ADDI: Recommending alternatives for drug-drug interactions with negative health effects.

Computers in biology and medicine


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