/tools/gcWGAN

gcWGAN

Shen-Lab/gcWGAN

GitHub
protein-designmodelgenerationtool
35 stars7 forksRoffWebsiteAdded February 4, 2026
summary

gcWGAN is a tool developed for de novo protein design using a guided conditional Wasserstein GAN. It leverages deep generative models to explore sequence-structure relationships and generate novel protein sequences based on given folds.

description

Guided Conditional Wasserstein GAN for De Novo Protein Design

topics

generative-adversarial-networksgenerative-modelproteinprotein-designprotein-sequenceprotein-structure

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