{
  "id": 3889494,
  "title": "KAIST unveils homegrown AI model for predicting protein structures, drug binding",
  "url": "https://urgent.news/2026/08/28/kaist-unveils-homegrown-ai-model-for-predicting-protein-structures",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T04:42:03.000Z",
  "source": {
    "name": "The Korea Times",
    "slug": "the-korea-times-koreatimes",
    "url": "https://www.koreatimes.co.kr/southkorea/20260828/kaist-unveils-homegrown-ai-model-for-predicting-protein-structures-drug-binding"
  },
  "original_language": "en",
  "account": "The Korea Advanced Institute of Science and Technology (KAIST) has unveiled a homegrown AI model called K-Fold, designed to predict protein structures and drug binding, with the goal of accelerating new drug development through domestic technology. Developed by a KAIST-led team as part of a project by Korea's Ministry of Science and ICT, the model aims to boost the nation's competitiveness in the AI era by achieving \"sovereign AI\" capabilities. President Bae Chung-sik of KAIST highlighted the significance of the project in advancing Korea's core technology. Unlike conventional AI models, K-Fold is uniquely positioned to predict both the 3D shape of a single protein and its interaction with other proteins, drug candidates, or genetic material like DNA and RNA. This dual capability of structure prediction and binding prediction is crucial in early-stage drug discovery, where researchers must identify disease-related proteins and their interactions to develop potential treatments.",
  "summary": "Researchers at the Korea Advanced Institute of Science and Technology (KAIST) said Friday they have developed a biomolecular artificial intelligence (AI) model, called K-Fold, that predicts protein structures and how drug candidates bind to them, with the aim of speeding up new drug development using homegrown technology. The model was built by a KAIST-led group called Team KAIST as part of a…",
  "key_points": [
    "KAIST develops K-Fold AI model for protein structure prediction",
    "Model predicts drug binding capabilities of proteins",
    "K-Fold aims to enhance Korea's AI and drug discovery capabilities"
  ],
  "editors_take": "KAIST's unveiling of the K-Fold AI model marks a step toward sovereign AI capabilities, boosting Korea's competitiveness by enabling domestic prediction of protein structures and drug binding for new drug development.",
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "The Korea Times",
        "title": "KAIST unveils homegrown AI model for predicting protein structures, drug binding",
        "url": "https://urgent.news/2026/08/28/kaist-unveils-homegrown-ai-model-for-predicting-protein-structures-3894993",
        "published": "2026-08-28T05:17:02.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}