Home / Research Library / CB-Dock2: improved protein–ligand blind docking by...
🧬 Medicine & Biology OpenAlex

CB-Dock2: improved protein–ligand blind docking by integrating cavity detection, docking and homologous template fitting

📅 May 5, 2022 👤 Yang Liu, Xiaocong Yang, Jianhong Gan et al. 📖 Nucleic Acids Research 📊 1,749 citations

🤖 Plain-English Summary

Protein-ligand blind docking is a powerful method for exploring the binding sites of receptors and the corresponding binding poses of ligands. This updated docking server, named CB-Dock2, reconfigured the input and output web interfaces, together with a highly automatic docking pipeline, making it a particularly efficient and easy-to-use tool for the bioinformatics and cheminformatics communities.

🔑 Key Findings

  • It has seen wide applications in pharmaceutical and biological researches.
  • Previously, we proposed a blind docking server, CB-Dock, which has been under heavy use (over 200 submissions per day) by researchers worldwide since 2019.
  • Here, we substantially improved the docking method by combining CB-Dock with our template-based docking engine to enhance the accuracy in binding site identification and binding pose prediction.

💡 Why This Matters

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📋 Article Details

Category 🧬 Medicine & Biology
Published May 05, 2022
Journal Nucleic Acids Research
Authors Yang Liu, Xiaocong Yang, Jianhong Gan, Shuang Chen, Zhi‐Xiong Jim Xiao
DOI 10.1093/nar/gkac394
Citations 1,749
Source OpenAlex

More 🧬 Medicine & Biology Research