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. The project will be focused on addressing several challenges in structure-based drug design using artificial intelligence. Recently developed techniques for the prediction of the three-dimensional
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the drug discovery process. The project will be focused on addressing several challenges in structure-based drug design using artificial intelligence. Recently developed techniques for the prediction
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. The main goal of this project is therefore to establish a blueprint on how to design drug-like, potent, selective, and functional RNA ligands based on the 3D structure of the target and to advance our
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design drug-like, potent, selective, and functional RNA ligands based on the 3D structure of the target and to advance our understanding of what drives potency and selectivity of RNA ligands
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design of molecular interactions. The project will specifically be related to the 3D structure of proteins and other molecules such as pharmaceuticals and the prediction of interactions between these. A
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new methods within artificial intelligence for molecular design, in combination with physically-based modeling of interactions between model peptides and the intestinal environment, as well as in
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very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design
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therapeutic applications in the treatment of various diseases and is promising evidence for the invention of new therapies. For example, 1,1-dimethylbiguanidine is an active component of the drug used in DM
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perspectives. Frontiers in Molecular Biosciences , 8:697586, 2021. [4] D. J. Craik, et al. The future of peptide-based drugs. Chemical biology & drug design , 81(1):136-147, 2013. [5] D. Sch utz, et al . Peptide
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To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent