Shypd.aiThe largest open index of AI toolsEquiBind is an open-source geometric deep learning model that predicts the 3D structure of small molecules binding to proteins. It offers fast and accurate predictions for drug binding structures.
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EquiBind is a cutting-edge, open-source geometric deep learning model designed for the rapid and accurate prediction of drug binding structures. It utilizes SE(3)-equivariant geometric deep learning to directly predict both the receptor binding location (blind docking) and the ligand’s bound pose and orientation. This approach significantly speeds up the process compared to traditional and other recent baseline methods. EquiBind is particularly valuable for accelerating drug discovery by providing insights into how small molecules interact with proteins. Users can input ligand and receptor files in various formats, set up the environment using Anaconda, and then run inference to obtain binding structure predictions, with results saved as .sdf files.
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