Shahid Dina nimitta raktdaan shivir aayojit o positive drug target magni karnare Patra
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In this study, we approached DTI prediction as a binary classification problem. DEEPScreen is a collection of DCNNs, each of which is an individual predictor for a target protein. The system takes drugs or drug candidate compounds in the form of SMILES representations as query, generates 200-by-200 pixel 2-D structural/molecular images using SMILES, runs the predictive DCNN models on the input 2-D images, and generates binary predictions as active (i.e., interacting) or inactive (i.e., non-interacting) for the corresponding target protein.
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