Last Wednesday, I was fortunate enough to be invited as a guest lecturer to the 3rd BioDataScience101 workshop, an initiative spearheaded by Paolo Marcatili, Professor of Bioinformatics at the Technical University of Denmark (DTU). This session, on amino acid sequence analysis applied to both proteomics and antibody drug discovery, was designed and organised by OPIG’s very own Tobias Olsen.
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SAbBox – the easy way to obtain our antibody tools
A significant part of the work we do here in OPIG revolves around antibodies, the proteins of the immune system that bind to and help remove any foreign entities that find their way into the body. Since antibodies can be developed that target basically anything, they have become extremely useful as therapeutics. In our research, we develop computational tools that can be incorporated into various points along the antibody discovery pipeline. These tools include our database of antibody structures, SAbDab, and a series of predictive tools (e.g. structural modelling algorithms like ABodyBuilder) which are known collectively as SAbPred.
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