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PROTEIN STRUCTURES FROM AMINO-ACID SEQUENCES USING NEURAL NETWORKS
PROTEIN STRUCTURES FROM AMINO-ACID SEQUENCES USING NEURAL NETWORKS
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机译:神经网络的氨基酸序列蛋白结构
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摘要
The present disclosure provides for systems and methods for generating and displaying a three dimensional map of a protein sequence. An exemplary method can provide for using deep learning models to predict protein folding and model protein folding using three dimensional representations. The method more effectively exploits the potential of deep learning approaches. The method approach overall involves three stages—computation, geometry, and assessment.
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