ON THE DATA-SET STRUCTURE FOR TRAINING GENERATIVE NEURAL NETWORKS IN PROTEIN DESIGN
DOI:
https://doi.org/10.30888/2663-5712.2024-28-00-016Keywords:
Neural network, data-set, data structure, atoms coordinates, coordinate alignment procedureAbstract
The paper considers the ways of normalizing a data set that can be used to train neural networks used for designing proteins or other large organic molecules with a complex structure. The paper considers the ways of translational transformation of coordiMetrics
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