Protein structure prediction with machine learning


Shuichiro Makigaki and Dr Takashi Ishida, from the Department of Computer Science at Tokyo Institute of Technology, are developing a new sequence alignment generation model that employs machine learning and dynamic programming to predict protein structures. This novel methodology can also be applied to homology detection which is fundamental to bioinformatics. A protein’s function is dictated by its three-dimensional structure. If the structure is […]

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