Molecular graph generation from structural features using an artificial neural network
AssigneeD. E. Shaw Research, LLC
InventorsPaul Maragakis, Hunter Nisonoff, Peter Skopp, John Salmon
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AssigneeD. E. Shaw Research, LLC
InventorsPaul Maragakis, Hunter Nisonoff, Peter Skopp, John Salmon
Estimating the term…
Discovering molecules (which may be known or may never have been cataloged or ever synthesized) that have desired characteristics is addressed using a machine learning approach. As compared to a brute-force search of a database of known molecules, which may not be computationally feasible, the present machine learning approach renders identification of both known and unknown molecules computationally tractable. Furthermore, the computational effort is largely shifted to training of the machine learning system using a database of known molecules, and the generation of molecules to match any particular characteristics requires relatively little computation. The molecules using the present approach may be further studied, for example, with computer-based simulation or after physical synthesis using biological experimentation to ultimately yield useful chemical compounds.
A computer-implemented method for generating a molecular graph comprising:
A computer-implemented method for generating a molecular graph comprising:
A computer-implemented method of training a neural network for generating a molecular graph comprising:
Dependencies are inferred from the claim text.