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+Department: Information Technology Lab
+Description: The project focuses on machine learning (ML)-aided design of antimicrobial
+  peptides (AMP), viable therapeutic alternative to antibiotics. It builds upon an
+  existing workflow that interrogates a database via API queries, creates suitable
+  libraries, predicts AMP 3D structures through MC or MD simulations, and extract
+  structure-based features (SbF).
+FieldOfScience: Bioinformatics
+FieldOfScienceID: '26.1103'
+InstitutionID: https://osg-htc.org/iid/2c1dbp9xe39x
+Organization: National Institute of Standards and Technology
+PIName: Antonio Cardone