System and method for molecular reconstruction and probability distributions using a 3D variational-conditioned generative adversarial network
Abstract:
A system and method that produces an accurate probability distribution representative of a target molecule that may be used in pharmacokinetics and analogous applications. A generator is seeded from a variational autoencoder during training and is then used after training in series with a second variational autoencoder to produce the probability distributions from molecular tensors.
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