Results 251 to 260 of about 1,302,625 (339)

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

A Nanomodulator Enhances Radiotherapy‐Induced In Situ Cancer Vaccine by Promoting Antigen‐Presenting of Tumor‐Associated Macrophage

open access: yesAdvanced Science, EarlyView.
A nanomodulator (Ft‐E64/Hf@Lipo) is developed, combining radiosensitizer hafnium (Hf) and the cysteine protease inhibitor E64, which cooperatively reinvigorated the antigen presentation of TAMs. Ft‐E64/Hf@Lipo sensitized‐RT generated abundant tumor neoantigens, and then E64/antigens, along with the apoptotic tumor cells, trafficked to TAMs via ...
Xiu Zhao   +9 more
wiley   +1 more source

XBB.1.5 COVID-19 mRNA Vaccines Induce Inadequate Mucosal Immunity in Patients with Inflammatory Bowel Disease. [PDF]

open access: yesVaccines (Basel)
Woelfel S   +19 more
europepmc   +1 more source

Advanced Cancer Immunotherapy via SMARCAL1 Blockade Using a Glucose‐Responsive CRISPR Nanovaccine

open access: yesAdvanced Science, EarlyView.
A glucose‐catalyzed chemodynamic strategy is proposed to activate therapeutic genome editing of SMARCAL1to improve cancer immunotherapy. This innovative design featuring Fenton reaction activity and glucose consumption ability, not only effectively synergizes to activate the cGAS‐STING pathway but also inhibits the opposing functions of interferon by ...
Yuwei Li   +8 more
wiley   +1 more source

Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery

open access: yesAdvanced Science, EarlyView.
Machine Learning (ML) is revolutionizing cancer nanomedicine by optimizing nanoparticle (NP) design and drug delivery. This review summarizes ML applications across all stages of NP drug delivery, along with a discussion of ongoing challenges and future directions.
Qingquan Wang   +5 more
wiley   +1 more source

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