I am a Beatriu de Pinós incoming fellow at the Institute for Biomedical Research (IRB) Barcelona since October 2015. I hold a secondary appointment at the Pharmacology & Personalised Medicine department at Maastricht University in the Netherlands. I am also working as a consultant for DZZOM , a recent start-up located in Boston. Before joining to IRB, I spent several years as a postdoctoral research associate working with Professor Albert László Barabási in the Center for Complex Network Research (CCNR) at Northeastern University and Professor Marc Vidal in the Center for Cancer Systems Biology (CCSB) at Dana Farber Cancer Institute in Boston, MA, USA. I obtained my Ph.D. in September, 2012 under the supervision of Professor Baldo Oliva in IMIM / UPF - GRIB Structural Bioinformatics Laboratory (SBI) in Barcelona, Spain. I hold a B.S. in Computer Engineering from Middle East Technical University (METU) and a M.S. in Electrical and Computer Engineering from Koc University (KU) in Turkey where I served as a teaching and research assistant affiliated with Computational Systems Biology Group (COSBI) working with Professors Attila Gursoy and Ozlem Keskin.
I am a member of International Society of Computational Biology (ISCB) since 2007 and I often serve as a reviewer for PLoS ONE, PLoS Computational Biology, Bioinformatics, BMC Bioinformatics, JAMIA, Pharmacological Research, Proceedings B, The American Journal of Psychiatry, Scientific Reports, Nature Communications and FWO grant applications. I am a keen supporter of open science .Upcoming events:
The past few decades have witnessed a burst in the high-throughput molecular data sets, shedding light on the mechanisms underlying human genetic diseases. Despite the recent efforts on sequencing and genome wide association studies characterizing genetic variants associated with patient subgroups, most clinical trials fail due to the lack of efficacy and safety. Accordingly, my research has shaped around repurposing existing drugs for new uses by network-based modeling and stastical data analysis. Several projects I am currently involved in:(For prospective students: If you are interested in doing a research project, contact me via email.)
Understanding cancer progression using protein interaction networks
Guney E, Sanz R, Angels S, Oliva B.
Systems Biology in Cancer Research and Drug Discovery, Part 2, Springer (2012)
HotSprint: Database of computational hot spots in protein interfaces.
Guney E, Tuncbag N, Keskin O, Gursoy A.
Nucl. Acids Res. (2008)
Media coverage and invited talks
* Looking for the ‘magic drug’ to fight Alzheimer’s and diabetes
* Northeastern researchers see market potential for repurposed drugs
* DZZOM to tackle repurposed drugs
* Recent advances in the study of proteins and their interactions [ Original newspaper article (in Spanish)]
* Biological data, from Babel to BIANA
* Integrating personalized gene expression profiles into predictive disease-associated gene pools. Intelligent Systems for Molecular Biology (ISMB) & European Conference on Computational Biology (ECCB) , Prague, July, 2017.
* Should I stay or should I go, NOW? RSG-Turkey Student Symposium , Guzelyurt, June, 2017. [Slides] [Source (.tex)]
* Challenges and opportunities in systems pharmacology. The International Symposium on Health Informatics and Bioinformatics (HIBIT) , Guzelyurt, June, 2017. [Slides]
* Investigating side effect modules in the interactome and their use in drug adverse effect discovery. Conference on Complex Networks (CompleNet) , Dubrovnik, March, 2017.
* Reproducible drug repurposing: When similarity does not suffice. Pacific Symposium on Biocomputing (PSB) , Big Island of Hawaii, January, 2017.
* Revisiting drug discovery through integrative network pharmacology in the era of precision medicine. European Conference on Computational Biology (ECCB) , The Hague, September, 2016
* Interactome-based disease gene prioritization and drug discovery. Disease Systems Biology Department at NNF CPR , Copenhagen, April, 2016
* Precision medicine through integrative network pharmacology. Barcelona Super Computing Center, Life Sciences Seminar Series, Barcelona, February, 2016
* Rational drug design through interactome analysis: Are we there yet? The Division of Pharmacoepidemiology and Pharmacoeconomics Brigham and Women’s Hospital, Harvard Medical School, Boston, August, 2015
* Analyzing drug mechanism of action through underlying protein-protein interaction network. NetSci - Network Medicine Smyposium, UC Berkeley, June, 2014
- GUILD: Network-based disease-gene prioritization [Zipped release] | [GitHub] | [Web]
- Toolbox: Python package for biomedical data processing and analysis [GitHub]
- BIANA: Biological data integration and network analysis tool [GitHub] | [Web]
- GUILDify: Phenotypic characterization of genes through biological data integration [Web]
- PePPer: Personalized Perturbation Profiler [GitHub]
- Repurpose: Reproducible similarity-based drug repurposing [GitHub]