PLM-GAN: A Large-Scale Protein Loop Modeling Using pix2pix GAN.

ABSTRACT: Revealing the tertiary structure of proteins holds huge significance as it unveils their vital properties and functions. These intricate three-dimensional configurations comprise diverse interactions including ionic, hydrophobic, and disulfide forces. In certain instances, these structures exhibit missing regions, necessitating the reconstruction of specific segments, thereby resulting in challenges in protein design, which encompasses loop modeling, circular permutation, and interface prediction. To address this problem, we present two pioneering models: pix2pix generative adversarial network (GAN) and PLM-GAN. The pix2pix GAN model is adept at generating and inpainting distance matrices of protein structures, whereas the PLM-GAN model incorporates residual blocks into the U-Net network o

SUBMITTER: Khalaf MNA 

PROVIDER: S-EPMC10785670 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature