Results 251 to 260 of about 3,466,843 (390)

Differential Compartmentalization of Enzymatic Reactions for Lactate Signaling Across Protocells

open access: yesAdvanced Functional Materials, EarlyView.
Two populations of protocells consisting of giant unilamellar vesicles containing active species and distinct artificial organelles are competent of collective behavior by mimicking production, intercellular communication, and detection of the bioinspired signal molecule lactate. Enzymatic cascade reactions within artificial organelles demonstrate that
Arianna Balestri   +4 more
wiley   +1 more source

A Sustainable Biotechnology Approach for Mineral Separation

open access: yesAdvanced Functional Materials, EarlyView.
Silver‑binding peptides are first identified through phage‐display screening, and then engineered into multifunctional and responsive peptides or proteins. These tailored biomolecules can selectively capture and aggregate silver particles or ions from complex mixtures, enabling rapid and efficient silver separation and recovery.
Guangze Yang   +7 more
wiley   +1 more source

Lysine Scanning of Arg10–Teixobactin: Deciphering the Role of Hydrophobic and Hydrophilic Residues

open access: yesACS Omega, 2016
Shimaa A. H. Abdel Monaim   +7 more
doaj   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

open access: yesAdvanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao   +5 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

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