Research Groups and R&D Platforms: Hit to lead

Research Group:
Bioorganic Group

Pasi Virta
pamavi[at]utu.fi

Bioorganic chemistry group, Department of Chemistry,
University of Turku

Pasi Virta

Atomic-force microscopy, Cancer, Drug target, Hit to lead, Lead optimization, Medicinal chemistry, Nanoparticles, Neurological disorders, NMR, Nucleic acids, Organic Chemistry, Organic compounds, PET, Synthetic chemistry, Thermal analysis

Picture of Michael Courtney

Research Group:
Neuronal Signalling Pathways

Michael Courtney
miccou[at]utu.fi                    

Neuronal Signalling Laboratory
Turku Bioscience Centre,
University of Turku

Michael Courtney

Neuronal Signalling Pathways

Ageing-related diseases, Assay development, Basic research, Biochemistry, Biomarker, Biomedicine, Biotechnology, Cancer, Data mining, Disease models, Drug delivery, Drug target, Fluorescence spectroscopy, High throughput imaging, Hit to lead, Imaging, Imaging software, In Vitro Diagnostics, Molecular Biology, Molecular Cell Biology, Molecular modelling, Natural Compounds, Natural products, Neurological disorders, Organic compounds, Pharmacology, Screening, Signaling, Synthetic Biology, Target discovery

Picture of Tiina Salminen

Research Group:
Structural Bioinformatics Laboratory

Tiina A. Salminen
tiina.salminen[at]abo.fi

Structural Bioinformatics Laboratory,
Åbo Akademi University

Tiina Salminen

Structural Bioinformatics Laboratory

Antibacterial, Autoimmune diseases, Biochemistry, Bioinformatics, Biomarker, Biomedicine, Cancer, Data mining, Diabetes, Drug target, Hit to lead, Infection, Inflammation, Inherited diseases, Lead optimization, Molecular modelling, Obesity, Personalized medicine, Physico-chemical properties, Polymorph analysis, Receptor, Structural Biology, Target discovery, X-ray crystallography

Research Group:
Bioactive natural compounds

Patrik Eklund
paeklund[at]abo.fi

Laboratory of Organic Chemistry,
Åbo Akademi University

Patrik Eklund

Cancer, Diabetes, Hit to lead, Inflammation, Lead optimization, Natural Compounds, Natural products, NMR, Organic Chemistry, Organic compounds, Synthetic chemistry

Picture of Reko Leino

Research Group:
Synthetic chemistry and chemical biology

Reko Leino
reko.leino[at]abo.fi

Laboratory of Organic Chemistry,
Åbo Akademi University

Reko Leino

PCC

Allergy, Asthma, Autoimmune diseases, Biomedicine, Biomolecular chemistry, Biopharmaceuticals, Cancer, Drug delivery, Fluorescence spectroscopy, Hit to lead, Immunology, Infection, Inflammation, Lead optimization, Medicinal chemistry, Melanoma, Molecular modelling, Natural Compounds, Natural products, NMR, Organic Chemistry, Organic compounds, PET, Powder X-ray diffraction, Screening, Skin diseases, Synthetic chemistry, Thermal analysis, X-ray crystallography

R&D Platform:
Medical Bioinformatics Centre

Medical Bioinformatics Centre focuses on the analysis of high-throughput data produced by modern biotechnologies, such as next-generation sequencing and mass spectrometry. The Unit has strong expertise in analysing and interpreting molecular data and it constantly strives for developing new data analysis methods and workflows to support cutting edge research in biology and medicine.  

A specific focus of the research at the Unit is on biomedical applications in close collaboration with experimental and clinical groups. The ultimate goal is to improve the diagnosis, prognosis and treatment of complex diseases, such as diabetes and cancer, by combining computational, experimental and clinical expertise.

Medical Bioinformatics Centre provides support and services for the analysis of genomics, transcriptomics, epigenomics and proteomics data. The personnel of the Unit consist of more than 20 specialists with expertise in the various fields of bioinformatics and computational biology. 

Our services

  • Experimental design consultation
  • Data analysis of various data types produced by high-throughput biotechnology instruments (e.g. microarrays, next-generation sequencing, mass spectrometry)

 

Data analysis service package

  • Support for experimental design
  • Data analysis with state-of-the-art bioinformatics software and in-house tools, including preprocessing, quality assessment, statistical analysis, functional/pathway analysis, and result visualization
  • Results with comprehensive analysis report
  • Result meeting
  • Submission of data to public repository

 

Medical Bioinformatics Centre

Basic research, Biomarker, Data mining, Genomics, Hit to lead, Machine learning, Molecular diagnostics, Next-generation sequencing, Pattern recognition, Personalized medicine, Proteomics, Target discovery