Neural network for chemical compounds
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United States of America Patent
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Feb 9, 2021
Grant Date -
Jan 11, 2018
app pub date -
Jul 5, 2016
filing date -
Jul 5, 2016
priority date (Note) -
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Abstract
A computer implemented method for training a neural network to capture a structural feature specific to a set of chemical compounds is disclosed. In the method, the computer system reads an expression describing a structure of the chemical compound for each chemical compound in the set and enumerates one or more combinations of a position and a type of a structural element appearing in the expression for each chemical compound in the set. The computer system also generates training data based on the one or more enumerated combinations for each chemical compound in the set. The training data includes one or more values with a length, each of which indicates whether or not a corresponding type of the structural element appears at a corresponding position for each combination. Furthermore, the computer system trains the neural network based on the training data for the set of the chemical compounds.
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