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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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techniques. Some of his most important contributions to this work are the methods he has developed to improve the prediction of membrane protein, protein structures and protein interactions. The group
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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focuses on the development of novel fluorinated amino acids as a 19F-NMR probe to study protein dynamics and protein-ligand interaction to facilitate drug discovery. It is financed by SciLifeLab, and hence
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algorithms to detect complex structural variants in humans using long DNA sequencing reads. A structural variant (SV) is a large-scale alteration in the genome that involves rearranged, deleted, or inserted
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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deepest branches of the tree of life with the help of bioinformatics and experimental molecular techniques. Research about how chemicals of anthropogenic origin interact with cellular functions and cause
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials