Abstract: Due to the ever-growing amount of available structural protein and compound data - from experimental sources or modeling approaches - computational methods to collect the data and put it to practical use are becoming more and more important. Thus, learning from the large pool of available data and using this knowledge for in silico predictions is of high practical value. In this presentation, structural bioinformatics and cheminformatics methods will be introduced which can be applied in translational projects to guide the design of more active, selective and/or less toxic compounds.
Please find more information and instructions on how to join this online lecture on the MolTag Website.
