Evolution has been fine-tuning life at the molecular level for billions of years. Proteins, the fundamental building blocks ...

His research explores the rise of generative AI and accelerated use of AI more broadly to advance drug and scientific discovery. Reuben leads Gartner's coverage of genomics, multiomics, cell and gene ...

By leveraging artificial intelligence (AI ... of Protein Structure Prediction) competition. Its end-to-end deep learning approach directly predicted 3D structures from amino acid sequences ...

The company is announcing today the release of nineteen accessible AI protein engineering tools ... pipelines to support the routine use of sequencing-based experiments that produce hundreds ...

which used deep learning to predict protein structures with near-experimental accuracy. At the same time, generative AI models have revolutionized protein design by solving key challenges in backbone ...

Google Deepmind co-founder Demis Hassabis talks to FT editor Roula Khalaf about the real world healthcare applications of AI ...

Learn more about eLife assessments Artificial intelligence (AI) models have been used to study the compositional ... on the information learned during pre-training on a large protein sequence dataset.

In this manuscript, the model's capacity to capture epistatic interactions through multi-point mutations and its success in finding the global optimum within the protein fitness landscape highlights ...

To help researchers easily access these methods, LatchBio is releasing nineteen optimized and publicly available protein engineering AI workflows ... the routine use of sequencing-based ...