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    Center for Computational and Theoretical Biology

    AI@CCTB

    Artificial Intelligence at the Center for Computational and Theoretical Biology

    As part of CAIDAS, we develop and apply AI-based methods for the analysis of biological data at all scales, in collaboration with other groups at the Faculty of Biology as well as with local and international partners.

    Examples of AI-related research projects at the CCTB:

    Analysis and prediction of 3D cell-cell interactions with artifical neural networks
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    Prof. Sabine Fischer

    Collaboration with Munoz Lab

    Improving super-resolution microscopy using generative adversarial networks
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    Prof. Philip Kollmannsberger

    Collaboration with Sauer Lab (Biocenter)

    Genomic prediction of draught tolerance with deep learning
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    Prof. Arthur Korte

    Collaboration with Botany-1 

    Machine-learning based optimization of mechanistic models for biodiversity
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    Prof. Juliano Sarmento Cabral

    Collaboration with Zoology-3 (Biocenter)

    Classification of pollen images in combination with DNA Barcoding
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    PD Dr. Alexander Keller

    Collaboration with Zoology-3 (Biocenter)

    Segmentation and classification of subcellular structures in electron tomograms
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    Prof. Philip Kollmannsberger

    Collaborations with Zoo-1, Bioinformatics and Imaging Facility

    Predicting potential distribution areas of tropical plants with deep learning
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    Prof. Juliano Sarmento Cabral

    Collaboration with Zoology-3 (Biocenter)

    Protein secondary structure prediction in Cryo-EM maps
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    Prof. Philip Kollmannsberger

    Collaboration with Rudolf Virchow Center 

    If you are interested in collaborating with the CCTB, please contact the different research groups.