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  • GitHub - xlxianglei TargetGAN
    TargetGAN Optimization (Targeted Generation) ⚡ Optimize the latent vectors to generate promoters with specific activity levels (e g , maximum activity, minimum activity, or a specific value)
  • TargetGAN: A generative AI framework for design. . . - Scoop. it
    Here, we present TargetGAN, a deep learning framework trained on 76,851 NPs that integrates generative adversarial networks (GANs) with a pre-trained activity predictor to enable the de novo design of PCPs with user-defined activity
  • Item - Supplementary Data and Logs for TargetGAN: A . . . - figshare
    This repository contains the supplementary large data files and logs for the TargetGAN project, which focuses on generating promoter sequences with specific activity levels Due to GitHub file size limits, these files are hosted here on Figshare
  • Plant Com | 华中农大 上海交大联合开发植物核心启动子AI从头设计框架TargetGAN - 生物信息与育种 - 博客园
    近日，华中农业大学胡学海 上海交通大学陆钰明团队在Plant Communications 发表了题为TargetGAN: A generative AI framework for designing plant core promoters with targeted activity 的研究文章。 该研究创新性地提出了一个耦合生成对抗网络（GANs）与序列—活性预测器的深度生成框架TargetGAN，实现了具有目标活性的植物核心启动子的AI从头设计。 该研究不仅成功打破了天然启动子的进化约束，创造出超高活性的合成启动子，更为植物系统中的基因精准调控和合成生物学提供了强大的AI工具与元件库资源。 植物核心启动子是控制基因转录起始的关键元件，在作物育种和植物合成生物学中具有重要价值。
  • ID 1306072 - BioProject - NCBI
    TargetGAN: A Generative AI Framework for Designing Plant Core Promoters with Targeted Activity We used a massively parallel reporter assay to measure the activity of ~3,700 synthetic promoters in maize protoplasts
  • TargetGAN: A generative AI framework for designing plant core promoters . . .
    Short summary: We present TargetGAN, a generative AI framework that integrates GANs with a sequence-to-activity predictor for the de novo design of plant core promoters
  • Plant Com | 华中农大 上海交大联合开发植物核心启动子AI从头设计框架TargetGAN
    近日，华中农业大学胡学海 上海交通大学陆钰明团队在Plant Communications 发表了题为TargetGAN: A generative AI framework for designing plant core promoters with targeted activity 的研究文章。该研究创新性地提出了一个耦合生成对抗网络（GANs）与序列—活性预测器的深度生成框架TargetGAN，实现了具有目标活性的植物核心
  • GitHub - viko-3 TargetGAN
    Contribute to viko-3 TargetGAN development by creating an account on GitHub
  • TargetGAN README. md at main · viko-3 TargetGAN · GitHub
    One can use the runfile (run py) for a single script that does the entire process from encoding smiles to create a training set, create and train a model, followed by sampling and decoding latent vectors back into SMILES using default hyperparameters





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