<i>Struc2mapGAN</i>: improving synthetic cryogenic electron microscopy density maps with generative adversarial networks.

Simulated maps at reported resolution would maintain constant correlation (compensating atom misplacement by a more diffuse kernel), but with less value than struc2mapGAN , and also a decreasing trend for SSIM, supporting that GAN-generated maps can compensate for the uncertainty of atomic positions in PDB structures generated at low resolution.

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