#Drug Discovery

Graphormer is a specialized deep learning tool enhancing molecule science research in areas like drug and material discovery. Its features include pre-trained models for various datasets, and compatibility with frameworks such as PyG and DGL. Available through Azure Quantum Elements, Graphormer has proven effective in competitions like the Open Catalyst Project. Detailed documentation and resources help researchers and developers leverage its full capabilities for scientific progress.

Examine how generative AI and deep learning revolutionize molecular and material design. This resource dives into drug design, molecular conformation, and employs AI models like GANs and VAEs. Access datasets, benchmarks, and reviews illustrating the partnership between AI and chemistry for advancements in drug discovery, material science, and conformation analysis.