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Informational Biology
The outpouring of genomic sequence data and experimental results within the biosciences has opened up unique opportunities and challenges for the exploitation of these data, bringing the biosciences to the interface between experimental and computational approaches within the fields of bioinformatics and computational chemistry.
The knowledge network in Informational Biology seeks to provide graduate students with a multidisciplinary education and research training appropriate for careers in science and industry that now require a wider scope of knowledge and skills than is traditionally provided within a single university department.
This knowledge network in Informational Biology seeks to provide a means for participating supervisors to share teaching obligations, broaden the pool of available expertise, and establish research collaborations that arise naturally instead of through forced integration as a criteria of grant funding.
Central areas of interest within the subject:
- Structure and function of interacting groups of macromolecules, using experimental methods and molecular modelling
- Simulation, modelling and biophysical measurements on biological membranes and embedded proteins
- Computational chemistry and modelling of molecular complexes especially related to pharmaceutical development
- Experimental studies that would benefit from bioinformatics
- Research-driven development of computational tools
- Molecular evolution and large-scale systematic analyses of biological phenomena
- Provision of intensive courses, web-based courses and research colloquiums
The knowledge network in Informational Biology has its node at the Structural Bioinformatics Laboratory, Department of Biochemistry and Pharmacy, Åbo Academy University,
