Fri, August 30th, 2019

14:00-15:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Prof. Daniel Abankwa, Faculty of Science, Technology and Communication, Université du Luxembourg: tba

Dr. Noora Kotaja, Institute of Biomedicine, University of Turku: tba

Coffee at 13:45

– –

Fri, September 20th, 2019

14:00-15:00 Arje Scheinin Auditorium, Dentalia, Lemminkäisenkatu 2

Dr. Jing Tang, Department of Mathematics and Statistics, Faculty of Science and Engineering, University of Turku: tba

Dr. Vilja Siitonen, Department of Biochemistry, Faculty of Science and Engineering,University of Turku: Unravelling the biosynthesis of antibiotics – Nogalamycin as an example

Coffee at 13:45

– –

Wed, October 9th, 2019

10:00-11:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Dr. Ana João Rodrigues, Life and Health Sciences Research Institute, University of Minho, Portugal: Impact of prenatal stress in the reward circuit: from rodents to humans and back

Host: Linnea Karlsson

Coffee at 10:45

– –

Fri, November 22nd, 2019

14:00-15:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Prof. Hasse Karlsson, Department of Clinical Medicine, University of Turku: tba

Dr. Linnea Karlsson, Department of Clinical Medicine, University of Turku: tba

Coffee at 13:45



Tue, May 28th, 2019

14:00-15:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Dr. Sergiu Ivanov, IBISC, Univ Évry, Paris-Saclay University, France: Sequential Reprogramming of Biological Network Fate

Host: Ion Petre

Dr. Sergiu Ivanov is an associate professor (maître de conférences) of computer science at the Department of Computer Science of Université d’Évry, Université Paris-Saclay. He is currently member of the IBISC Laboratory and belongs to team COSMO, who study the fundamental properties of complex systems, and notably biological systems.

Dr. Sergiu Ivanov defended his PhD thesis focused on the computational power of biologically-inspired models of computing at Université Paris-Est in 2015. His principal research interest lies in applying formal models to gain insight into medical and biological problems. He is currently working on employing formal networks to help infer cancer therapies and better understand the molecular and evolutionary causes of this disease (e.g., resilience, atavistic theory of cancer, etc.).

Dr. Sergiu Ivanov’s main research domains are:
• precision medicine,
• theoretical biology,
• complex systems, and
• bio-inspired models of computing.

Sergiu Ivanov’s home page:

Key Publications:

Artiom Alhazov, Rudolf Freund, *Sergiu Ivanov*, Sergey Verlan: Tissue P Systems with Point Mutation Rules. Int. Conf. on Membrane Computing 2018: 33-56

Quoc-Trung Vuong, Roselyne Chauvin, *Sergiu Ivanov*, Nicolas Glade, Laurent Trilling: A Logical Constraint-based Approach to Infer and Explore Diversity and Composition in Thresholded Boolean Automaton Networks. COMPLEX NETWORKS 2017: 567-579

Sepinoud Azimi, Cristian Gratie, *Sergiu Ivanov*, Luca Manzoni, Ion Petre, Antonio E. Porreca: Complexity of model checking for reaction systems. Theor. Comput. Sci. 623: 103-113 (2016)

– –

Fri, May 3rd, 2019

11:00-12:00 Säätiö Auditorium, Medisiina D, Kiinamyllynkatu 10

Prof. Lars Juhl Jensen, Disease Systems Biology Program, University of Copenhagen: Using text mining in biomedical databases

Host: Sampo Pyysalo

Lars Juhl Jensen started his research career in Søren Brunak’s group at the Technical University of Denmark (DTU), from which he in 2002 received the Ph.D. degree in bioinformatics for his work on non-homology based protein function prediction. During this time, he also developed methods for visualization of microbial genomes, pattern recognition in promoter regions, and microarray analysis. From 2003 to 2008, he was at the European Molecular Biology Laboratory (EMBL) where he worked on literature mining, integration of large-scale experimental datasets, and analysis of biological interaction networks. Since the beginning of 2009, he has continued this line of research as a professor at the Novo Nordisk Foundation Center for Protein Research at the Panum Institute in Copenhagen and as a co-founder and scientific advisor of Intomics A/S.

Selected publications:

Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, Simonovic M, Doncheva NT, Morris JH, Bork P*, Jensen LJ* and von Mering C* (2019). STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research, 47:D607-D613.

Oprea TI, Bologa CG, Brunak S, Campbell A, Gan GN, Gaulton A, Gomez SM, Guha R, Hersey A, Holmes J, Jadhav A, Jensen LJ, Johnson GL, Karlson A, Leach AR, Ma’ayan A, Malovannaya A, Mani S, Mathias SL, McManus MT, Meehan TF, von Mering C, Muthas D, Nguyen DT, Overington JP, Papadatos G, Qin J, Reich C, Roth BL, Schürer SC, Simeonov A, Sklar LA, Southall N, Tomita S, Tudose I, Ursu O, Vidovic D, Waller A, Westergaard D, Yang JJ and Zahoránszky-Köhalmi G (2018). Unexplored therapeutic opportunities in the human genome. Nature Reviews Drug Discovery, 17:377.

Westergaard D, Stærfeldt H-H, Tønsberg C, Jensen LJ* and Brunak S* (2018). Text mining of 15 million full-text scientific articles. PLOS Computational Biology, 14:e1005962.

Pafilis E, Buttigieg PL, Ferrell B, Pereira E, Schnetzer J, Arvanitidis C and Jensen LJ (2016). EXTRACT: Interactive extraction of environment metadata and term suggestion for metagenomic sample annotation. Database, 2016:baw005.

Pletscher-Frankild S, Pallejà A, Tsafou K, Binder JX and Jensen LJ (2015). DISEASES: Text mining and data integration of disease–gene associations. Methods, 74:83-89



Fri, April 12th, 2019

14:00-15:00 Agora Auditorium XX, Vesilinnantie 5, 1st floor

Dr. Michael Courtney, Group Leader of the Neuronal Signalling Lab, Turku Bioscience, University of Turku and Section Leader of the Turku Screening Unit: Shining a light on hidden signalling processes and druggability of disease signalling

Dr. Majid Momeny, postdoc research fellow, Prof. Jukka Westermarck’s lab, Turku Centre for Biotechnology, University of Turku: Oncogenic phosphatases: Novel targets to overcome therapy resistance in HER2+ breast cancer



Fri, March 22nd, 2019

14:00-15:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Prof. Jukka Westermarck, Centre for Biotechnology and Institute of Biomedicine, University of Turku: Phosphoproteome and Functional Landscape of Protein Phosphatase 2A (PP2A) in Cancer Cells

The focus of our laboratory is to understand role and regulation of PP2A in human cancers and especially function of PP2A inhibitor proteins as human oncoproteins. To achieve this, we use a combination of advanced cell and molecular biology approaches combined with genetically modified mouse cancer models. We also have special interest on targeted therapies against PP2A inhibitor proteins. Our recent results suggest that a potential biological outcome of aberrant PP2A signaling in cancer is conferring drug resistance (Cancer Research, 2016, Sci.Transl. Med, 2018). Based both on these results, and on wide-spectrum role of PP2A on cellular signaling, we hypothesize that re-activation of PP2A, via targeting of its endogenous inhibitory proteins, could be used as a general strategy for multi-target inhibition of chemoresistance in common human cancer types. In addition, these results may have importance in patient stratification for monotherapies using the identified small molecule compounds.

Selected publications:

Kauko O, O´Connor CM, Kulesskiy E, Sangodkar J, Aakula A, Izadhmehr S, Yetukuri L, Yadav B, Padzik A, Laajala TD, Haapaniemi P, Momeny M, Varila T, Ohlmeyer M, Aittokallio T, Wennerberg K, Narla G*, and Westermarck J*; PP2A inhibition is a druggable MEK inhibitor resistance mechanism in KRAS-mutant lung cancer cells. Science Translational Medicine 10(450), doi: 10.1126/scitranslmed.aaq1093, 2018.

Kaur A, Denisova OV, Qiao X, Jumppanen M, Peuhu E, Ahmed SU, Raheem O, Haapasalo H, Eriksson J, Chalmers AJ, Laakkonen P and Westermarck J; PP2A inhibitor PME-1 drives kinase inhibitor resistance in glioma cells. Cancer Research 76(23): 7001-7011, 2016.

Laine A, Sihto H, Come C, Rosenfeldt MT, Zwolinska A, Niemelä M, Khanna A, Chan EK, Kähäri V-M, Kellokumpu-Lehtinen P-L, Sansom OJ, Evan GI, Junttila MR, Ryan KM, Marine J-C, Joensuu H, and Westermarck J; Senescence sensitivity of breast cancer cells is defined by positive feedback loop between CIP2A and E2F1. Cancer Discovery 3(2): 182-197, 2013.

Puustinen P, Junttila MR, Vanhatupa S, Sablina AA, Hector ME, Teittinen K, Raheem O, Ketola K, Lin S, Kast J, Haapasalo H, Hahn WC, and Westermarck J; PME-1 protects ERK pathway activity from protein phosphatase 2A-mediated inactivation in human malignant glioma. Cancer Research 69: 2870-2877, 2009.

Khanna A, Böckelman C, Hemmes A, Junttila MR, Wiksten J-P, Lundin P, Junnila S, Murphy D, Evan GI, Haglund C, Westermarck J*, and Ristimäki A*; MYC-dependent regulation and prognostic role of CIP2A in gastric cancer. Journal of the National Cancer Institute 101: 793-805, 2009.
Junttila, MR, Puustinen P, Niemelä M, Ahola R, Arnold H, Böttzauw T, Ala-aho R, Nielsen C, Ivaska J, Taya Y, Lu SL, Li S, Chan EKL, Wang X-J, Grenman R, Kast J, Kallunki T, Sears R, Kähäri V-M, and Westermarck J; CIP2A inhibits PP2A in human malignancies. Cell 130: 51–62, 2007


Fri, February 22nd, 2019

14:00-15:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Dr. Leo Lahti, Department of Mathematics and Statistics, University of Turku: “Trends in microbiome data science”


Dr. Manu Tamminen, Department of Biology, University of Turku: “Understanding antibiotic resistance using next-generation DNA sequencing”

Leo Lahti is Docent in applied mathematics and Academy Research Fellow at the Department of Mathematics and Statistics where he leads the Computational biosciences group. He obtained PhD in statistical machine learning and bioinformatics in 2010 in Aalto University, followed by a six year postdoctoral period in The Netherlands and Belgium. Lahti is also a founding member of Helsinki Computational History group and Open Knowledge Finland working groups which received Ministry of Education awards on Open Science in 2016 and 2017, respectively. His current research focuses on modern data science methods and applications in human microbiome research. More info:

Key publications:

A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis. Ville Laitinen and Leo Lahti. In: Advances in Intelligent Data Analysis XVII. Springer, 2018.

Tipping elements in the human intestinal ecosystem. Leo Lahti, Jarkko Salojärvi, Anne Salonen, Marten Scheffer, and Willem M. de Vos. Nature Communications, 5:4344, 2014

Signatures of ecological processes in microbial community time series. Karoline Faust, Franziska Bauchinger, Beatrice Laroche, Sophie de Buyl, Leo Lahti, Alex D Washburne, Didier Gonze, and Stefanie Widder. Microbiome, 6(120) 2018.

Microbial communities as dynamical systems. Didier Gonze, Katharine Z Coyte, Leo Lahti, and Karoline Faust. Current Opinion in Microbiology, 44:41–49, 2018.

Alchemy & algorithms: perspectives on the philosophy and history of open science. Leo Lahti, Filipe da Silva, Markus Petteri Laine, Viivi Lähteenoja, and Mikko Tolonen. RIO Journal, 3:e13593, 2017.

Manu Tamminen is developing and applying single cell genome sequencing techniques to gain improved insights into complex bacterial communities and their role at the emergence of antibiotic resistant bacterial strains. He defended his doctoral thesis at the University of Helsinki and has since carried out his research at MIT and ETH Zürich. He is currently employed as a senior lecturer of genetics at the University of Turku.

Key publications:

Tamminen, M., Betz, A., Thali, M., Matthews, B., Suter, M. and Narwani, A. (2018) Proteome evolution under essential resource limitation. Nature Communications 9: 4650.

Krismer, J., Tamminen, M., Fontana, S., Zenobi, R. and Narwani. A. (2017) Single-cell mass spectrometry reveals the importance of genetic diversity and plasticity for phenotypic variation in nitrogen limited Chlamydomonas. ISME Journal 11: 988-998.

Brito, I. L., Yilmaz, S., Huang, K., Xu, L., Jupiter, S.D., Jenkins, A.P., Naisilisili, W. Tamminen, M., Smillie, C.S., Wortman, J.R., Birren, B.W., Xavier, R.J., Blainey, P.C., Singh, A.K., Gevers, D., Alm, E.J. (2016) Mobile genes in the human microbiome are structured from global to individual scales. Nature 535: 435-439

Spencer, S.*, Tamminen, M.*, Preheim, S., Guo, M., Briggs, A., Brito, I., Weitz, D., Pitkänen, L., Vigneault, F., Virta, M., Alm, E. (2016) Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers. ISME Journal 10: 427-436. *Equal contribution.

Tamminen, M., Virta, M., Fani, R. & Fondi, M. (2012) Analysis of plasmid relationships through gene sharing networks. Molecular Biology and Evolution 29: 1225-1240


Wed, DECEMBER 5th, 2018: Annual Meeting

09:00-18:00 Vanhalinnan kartanoravintola, Lieto


Fri, NOVEMBER 23rd, 2018

14:00-15:00 PharmaCity Auditorium, Itäinen Pitkäkatu 4B, Turku

Dr. Henri Xhaard, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki: “10-year retrospective of the Computational Drug Discovery group at the Faculty of Pharmacy, University of Helsinki”

Host: Tiina Salminen

Dr. Xhaard obtained his  PhD from the university Åbo Akademi in 2006 under the supervision of Prof. Mark S. Johnson. In 2008 he was selected as principal investigator by the Faculty of Pharmacy, University of Helsinki, where he founded the computational drug discovery group. The group has since developed and is to date composed of 6-8 researchers, and is well integrated in national [1] and international [2] infrastructure around chemical biology.

The group uses computational drug discovery methods, both chemoinformatics and molecular modeling, applied to different therapeutic areas as part of local or international research networks/consortia: sleep disorders (orexin receptors) [3], parasitic (membrane-bound pyrophosphatases) [4] and bacterial (quorum-sensing inhibitors) diseases, neuropathic pain (opioid receptors and toll-like receptors) [5], stem-cell inducers for application e.g. in stroke [6], and in-silico predictive ADME (metabolic proteins, ABC transporters [7,8] and glucoronidation enzymes [9]). These projects include many interdisciplinary components and collaboration for example with pharmacology, molecular biology, medicinal chemistry, and X-ray crystallography.

The group is also working to benchmark and develop existing computational methods [see e.g. 10]. We have a strong expertise with data mining [11,12]. The presentation will include current unpublished research in structural bioinformatics, where we develop novel ways to represent the interaction environment around selected atoms, with broad applications to e.g. score molecular complexes or predict the location of elements (hydrogen atoms, water molecules, metal ions, molecular fragments.. ) absent from crystallographic structures or structural models.


[1] Drug discovery and chemical biology – Finnish national consortium

[2 EU Openscreen partner site –

[3]Pharmacophore Model To Discover OX1 and OX2 Orexin Receptor Ligands. Turku A, Borrel A, Leino TO, Karhu L, Kukkonen JP, Xhaard H. J Med Chem. 2016 59:8263-75.

[4] Integral membrane pyrophosphatases: a novel drug target for human pathogens? Shah NR, Vidilaseris K, Xhaard H, Goldman A. AIMS biophysics 2016, 3: 171-194. doi: 10.3934/biophy.2016.1.171

[5] GLORIA EU-FP7 consortium –

[6] 3i-regeneration consortium –

[7]A structure-activity relationship study of ABCC2 inhibitors. Wissel G, Deng F, Kudryavtsev P, Ghemtio L, Wipf P, Xhaard H, Kidron H. Eur J Pharm Sci. 2017, 103:60-69.

[8] Exploring the structure-activity relationships of ABCC2 modulators using a screening approach. Wissel G, Kudryavtsev P, Ghemtio L, Tammela P, Wipf P, Yliperttula M, Finel M, Urtti A, Kidron H, Xhaard H. Bioorg Med Chem. 2015 23:3513-25.

[9] SVM classification and CoMSIA modeling of UGT1A6 interacting molecules. Ghemtio L, Soikkeli A, Yliperttula M, Hirvonen J, Finel M, Xhaard H.

J Chem Inf Model. 2014, 54:1011-26.

[10] Visually interpretable models of kinase selectivity related features derived from field-based proteochemometrics. Subramanian V, Prusis P, Pietilä LO, Xhaard H, Wohlfahrt G. J Chem Inf Model. 2013, 53:3021-30.

[11] IDAAPM: integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug data. Legehar A, Xhaard H, Ghemtio L. J Cheminform. 2016; 8:33.

[12]  Structural Isosteres of Phosphate Groups in the Protein Data Bank. Zhang Y, Borrel A, Ghemtio L, Regad L, Boije Af Gennäs G, Camproux AC, Yli-Kauhaluoma J, Xhaard H. J Chem Inf Model. 2017 57:499-516.


Fri, 26th OCTOBER, 2018

Ensembl browser workshop

09:00-17:00 University of Turku, Natura building, IT class 420

Dr Astrid Gall, Ensembl Outreach Officer, European Molecular Biology Laboratory – European Bioinformatics Institute (EMBL-EBI)

Seating is limited to 30 pre-registered participants. Link to registration

Mon, OCTOBER 1st, 2018

13:00-15:00 Alhopuro Auditorium, Medisiina D, Kiinamyllynkatu 10

Pak Yang Chum, Illumina: “BaseSpace Sequence Hub Workshop: An Introduction and Workflow Walkthrough”
BaseSpace Sequence Hub is a genomics cloud computing platform designed to bring simplified data management and analytical sequencing tools directly to investigators in a user-friendly format.

Host: Riikka Lund

Fri, SEPTEMBER 21st, 2018

14:00-15:00 Agora Auditorium XX, Vesilinnantie 5, 1st floor

Dr. Jarmo Niemi, Department of Biochemistry, University of Turku: “Genome mining for the unknown – identifying biosynthetic genes for C-nucleosides”

Dr. Georgi Belogurov, Department of Biochemistry, University of Turku: “Unraveling the mechanism of RNA polymerase translocation along the DNA”

Thu, SEPTEMBER 13th, 2018

14:00-15:00 Auditorium Biokemi, 3rd floor, Biocity, Tykistökatu 6

Prof. Ramanathan Sowdhamini, National Centre for Biological Sciences, Tata Institute of Fundamental Research: “Toll-Interleukin receptor (TIR) domains – from modeling and molecular dynamics perspective”

Host: Mark Johnson

MAY 31st, 2018

14:00-15:00 Agora Auditorium XXI, Vesilinnantie 5, 1st floor

Dr. Laurent Guyon, CEA-Grenoble, Biosciences and Biotechnology Institute of Grenoble, France: Gene selection and interpretation in large scale datasets: network based approaches, high content screening, mRNAs and microRNAs”

MAY 18th, 2018


Lambda auditorium, ICT-city building (ground floor), Joukahaisenkatu 3-5, Turku (coffee at 09:45)

Adj. Prof. Kalle Parvinen, University of Turku, Department of Mathematics and Statistics: Adaptive dynamics – understanding evolution by natural selection using mathematical modelling.

Assoc. Prof. Anton Zavialov, University of Turku, Joint Biotechnology Laboratory (JBL), Department of Chemistry: Structural basis for Acinetobacter baumannii biofilm formation.

APRIL 20th, 2018
Alpha auditorium, ICT-city building (ground floor), Joukahaisenkatu 3-5, Turku

Single Cell Omics Symposium

APRIL 13th, 2018

PharmaCity Auditorium, Itäinen Pitkäkatu 4B, Turku

Dr. Eugen Czeizler, Åbo Akademi, Computational Biomodelling Laboratory: “Computational Approaches in DNA Algorithmic Self-Assembly”


Dr. Jukka Lehtonen, Åbo Akademi, Structural Bioinformatics Laboratory: “Where is your file? Thoughts on data management”

FEBRUARY 16th, 2018

14:00-15:00 Pharmacity Auditorium

Dr. Xiang-Guo Li, University of Turku, Turku PET Centre, Radiopharmaceutical Chemistry Laboratory: “Making your drug candidates and drug targets brighter with positron emission tomography (PET) techniques”


Dr. Ulla Pentikäinen, University of Turku, Institute of Biomedicine, Pharmacology, Drug Development and Therapeutics: “What goes wrong in diseases: Towards understanding of the molecular mechanism of mitral valve prolapse”

JANUARY 19th, 2018

11:00-12:00 Pharmacity Auditorium,
Dr. Adam S. Wilkins, Institute of Theoretical Biology, Humboldt Universität, Germany: “The unusual face of Homo sapiens and its evolutionary origins”

Hosts: Harri Savilahti and Petter Portin

DECEMBER 8th, 2017
Annual Meeting

OCTOBER 12th, 2017

10.00-11:00 Pharmacity Auditorium
Robert Lyle, Oslo University Hospital and University of Oslo, Norway: “Long-term prenatal exposure to paracetamol is associated with DNA methylation differences in children diagnosed with ADHD”
Host: Riikka Lund

OCTOBER 5th, 2017
FOS Seminar: Prof. Antti Poso, University of Kuopio & Distinguished Visiting Professor at the University of Tübingen in Germany: “From drug design to target selection: developing new anti-cancer and CNS-targeting compounds”. Host: Outi Salo

JUNE 2nd, 2017
10.00-11:00 Pharmacity Auditorium

Prof. Peter James, Turku Centre for Biotechnology: “Modern technologies and their application to the diagnosis, prognosis and treatment of breast cancer”.


Ass.Prof. Tapio Pahikkala, Department of Information Technology, University of Turku: “Small data AUC estimation of machine learning methods: Pitfalls and remedies”.

Coffee served at 9:45

MAY 23rd, 2017
11-12 Pharmacity Auditorium.
Docent Miina Ollikainen, University of Helsinki & FIMM: “Unraveling epigenetics and traits of complex diseases using twin approaches”. Host: Riikka Lund.
Coffee served at 11.00

MAY 5th, 2017
12.00-13.00, Pharmacity Auditorium.

Ass. Prof. Filip Ginter, Department of Information Technology, University of Turku: “Turku Natural Language Group: Text Mining of Biomedical Literature… and beyond”.
Ass. Prof. Hongbo Zhang, Drug Development and diagnostics, Åbo Akademi University: “Biological Analysis in Droplets, the Power of Mirofluidics”.

DECEMBER 9th, 2016
CompLifeSci The 1st Annual Meeting 

NOVEMBER 18th, 2016
12.00-13.00, Agora
Prof. Outi Salo-Ahen, Åbo Akademi University“In search of novel antimicrobial agents against multiresistant bacteria – Computer-aided drug design approachesHost: Tiina Salminen
Coffee served at 11.45

OCTOBER 21st, 2016
11.00-12.00, Pharmacity Auditorium

Tapio Lönnberg, PhD, Postdoctoral Fellow at EMBL-EBI & Visiting Scientist at Wellcome Trust Sanger Institute, UK, 09/2016- Senior Scientist at Turku Centre for Biotechnology, University of Turku: “Single Cell RNA-sequencing and T cell fate decisions“. Host: Riikka Lund
Coffee served at 10.45

SEPTEMBER 29th, 2016
14.00-15.00, ICT beta lecture room

Jing Tang, PhD, TCSM Group Leader, Department of Mathematics and Statistics, University of Turku: Network-based drug combination discovery for personalized medicine – data integration, model prediction and mechanistic understanding“. Host: Tero Aittokallio
Coffee served at 13.45

AUGUST 25th, 2016
14.00-15.00, Biocity 5th floor BTK seminar room
Prof. Savvas Savvides, VIB Inflammation Research Center & Ghent University, Belgium: Structure, Mechanisms and Antagonism of pro-inflammatory cytokine-receptor complexes”. Host: Tassos Papageorgiou
Coffee served at 13.45