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TEAM

Nuclear Localization Signal (NLS) Prediction Project

Scott Auerbach, Ukamaka Nnyaba, Ming Zhang, Yingyi Guo, Hemaa Selvakumar, Cisil Karaguzel

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The project is to build a prediction tool that estimates the possibility of nuclear localization signals inside a protein's sequence and also uses its 3-D structure to help assess whether or not certain amino acids factor into forming one of these signals or not. In addition to the 3-D structure, the position of each amino acid is also taken into account.

Second idea: Predict antibiotic resistance by species based on the structure of an antibiotic. This tool could be used for either small molecule or multipeptide antibiotics and will screen for the activation of antimicrobial resistance (AMR) genes.

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