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PRO‐LDM: A Conditional Latent Diffusion Model for Protein Sequence Design and Functional Optimization

open access: yesAdvanced Science, EarlyView.
PRO‐LDM is a modular latent diffusion framework that learns hierarchical biological representations to enable efficient and high‐fidelity protein design. PRO‐LDM can design species that resemble natural sequences with enhanced diversity or optimize protein functions.
Sitao Zhang   +15 more
wiley   +1 more source

Communication and language learning [PDF]

open access: yes, 2009
Mokh, Y. A., Sergina, S. V.
core  

Drug Resistance Predictions Based on a Directed Flag Transformer

open access: yesAdvanced Science, EarlyView.
 CAPTURE, a deep learning framework combining structural and sequence data to predict drug‐resistant Mpro mutations, revealing that PAXLOVID use may be accelerating resistance—supporting real‐time viral surveillance and therapeutic design. Abstract The evolving SARS‐CoV‐2 virus threatens global public health, particularly with potential resistance to ...
Dong Chen   +8 more
wiley   +1 more source

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