The world's first protein database for Machine Learning and AI

I am incredibly proud and excited to present the very first public product of Peptone, the Database of Structural Propensities of Proteins. Database of Structural Propensities of Proteins (dSPP) is the world's first interactive repository of structural and dynamic features of proteins with seamless integration for leading Machine Learning frameworks, Keras and Tensorflow. IDPs are implicated in numerous debilitating human pathologies, including Alzheimer's, Parkinson's, prion diseases, molecular basis of cancer, HIV, HSV, HVC, ZIKVR, and many others. Structural interpretation of propensity score for MOAG-4 protein, extracted from dSPP database https://peptone.io/dspp/entry/dSPP27058_0. MOAG-4 is known to enhance the process of protein aggregation in animal brain models, thus accelerating an early onset of Parkinson's disease.