Wide areas of the pharmaceutical industry are ripe for enhancement, as examples from the industry’s top innovators reflect.
Drug discovery is a costly and time-intensive process, with binding free energy calculations between the potential drug ...
Latent Labs has raised $50 million of new funding as it commercialises its GenAI technology for designing new proteins for ...
Researchers developed ProtGPS, an AI tool that predicts protein localization in cells and how mutations affect disease. The ...
His team harnesses advanced computational technologies, including AI, with the aim of enhancing the discovery, design, optimization and synthesis of small molecules to be developed into innovative ...
Due to the dearth of efficient computational tools ... binder integrated into a chimeric antigen receptor design and enabled drug-controllable tumor cell-killing activity. This demonstrated ...
Bind Research launched to transform disordered proteins into effective drug targetsUK’s first not-for-profit Focused Research Organisation ...
GlobalData on MSN16d
Acellera and Psivant partner for AI-driven drug discoveryThe partnership seeks to address challenges in small molecule screening and design of drugs by integrating AI ... "By bringing together state-of-the-art computational methods with our drug discovery ...
Strategies for Successful Integration of Computational and Empirical Data for Protein Drug Discovery
Modern protein drug discovery relies on successfully integrating computational predictions and experimental data. As the volume and complexity of both predicted and empirical data continues to ...
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