AI-based small molecule design and optimization

At Creative Biolabs, we are dedicated to helping our worldwide customers to select, design, and optimize the small-molecule for drug discovery.
For instance, deep learning (DL) methods are commonly used for achieving target recognition of small molecules in drug discovery. These DL models can successfully predict the activity and property of various small molecules. As one of the most popular DL architectures, a convolutional neural network (CNN) has been developed by analyzing the sparse connectivity and shared weights to mimic the interaction between candidate compounds and proteins. Besides, a big data library for training the DL models, including the AlphaGo, has been established to collect enough data for AI-aided intricate simulation.
Creative Biolabs has developed a novel AI-based small molecule design and optimization platform to boost the functions of our AI-driven drug discovery pipeline. Our ligand- and/or structure-based databases and focused library approaches will remove the obstacles of your projects and bring breakthroughs to affect the future of small-molecule drug discovery.
Learn more: https://ai.creative-biolabs.com/small-molecule-design-and-optimization.htm