SDSC provides high-performance computing and data infrastructure that support researchers doing molecular modeling and ...
Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...
The OpenFold Consortium, a leading nonprofit artificial intelligence (AI) research consortium, today announced a preview release of OpenFold3, an open-source deep learning model that predicts ...
The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.
From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance ...
Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...
Genesis Molecular AI, the company pioneering the world's leading molecular AI models for drug design and development, today announced Pearl, a generative foundation model for biomolecular structure ...
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Integrating physicochemical laws into future AI models for better drug design
Proteins play a key role not only in the body, but also in medicine: they either serve as active ingredients, such as enzymes ...
A new large language model predicts the properties of lasso peptides, natural products of bacteria that have therapeutic ...
Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...
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