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Machine Learning Guided Peptide Design
Engineering peptides with targeted single to multi functionalities
Mimicking biological interactions and functions of proteins, we have been identifying, modifying and designing peptides with novel functionalities ranging from binding, self-assembly, self-organization, to imparting different set of bioactivities. Building upon combinatorial biology and bioinformatics methods, we integrate machine learning guided engineered peptide design in our functional domain search.
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Tamerler LAB, University of Kansas
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