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PharmaNet workflow.

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posted on 26.04.2021, 17:30 by Paola Ruiz Puentes, Natalia Valderrama, Cristina González, Laura Daza, Carolina Muñoz-Camargo, Juan C. Cruz, Pablo Arbeláez

For each molecule we compute a raw molecular image with nxm dimensions, where n is the number of unique atoms and bonds and m is the molecules’ maximum length. A convolutional encoder produces a fingerprint molecular image that is then analyzed globally by an RNN to predict scores for each of the targets in the AD Dataset.

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