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PLAID is a multimodal generative model that can generate protein sequence and all-atom structure based on conditional function and taxonomic prompts. Please see our ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We introduce a new computational approach for predicting organic crystalline ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

JP Morgan brought innovation to the prime jumbo RMBS market on Wednesday as it announced the first deal from the asset class to use a non-QM style pro rata sequential structure rather than the senior ...

Deep generative models that learn from the distribution of natural protein sequences and structures may enable the design of new proteins with valuable functions. While the majority of today’s models ...

Designing accurate all-atom protein structures is a critical challenge in bioengineering, as it involves generating both 3D structural data and 1D sequence information to define side-chain atom ...

This important study advances our understanding of the way neurons in the auditory cortex of mice respond to unpredictable sounds. Through the use of state-of-the-art recording methods, compelling ...

Introduction: Behaviors often involve a sequence of events, and learning and reproducing it is essential for sequential memory. Brain loop structures refer to loop-shaped inter-regional connection ...