Results 281 to 290 of about 1,677,396 (366)
An improved protein decoy set for testing energy functions for protein structure prediction [PDF]
Jerry Tsai+5 more
openalex +1 more source
This study presents a microfluidic brain microvascular network‐on‐chip (BMVasChip) to investigate endothelial barrier dysfunction caused by flavivirus non‐structural protein 1 (NS1), including virus‐ and time‐dependent vascular damage, leakiness, and dysfunction.
Monika Rajput+5 more
wiley +1 more source
Physico-chemical approach to protein structure prediction by coarse-grained model
Y. Fujitsuka+2 more
openalex +2 more sources
β Edge strands in protein structure prediction and aggregation [PDF]
Jennifer A. Siepen+2 more
openalex +1 more source
Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders
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
Tertiary structure predictions of all-atom protein models by generalized-ensemble algorithms
Yuko Okamoto
openalex +2 more sources
A potent anionic citric acid‐based 3D‐printed scaffold is developed for the sustained and controlled release of orthobiologics to enhance orthopedic therapeutic efficacy. Comprehensive in vivo studies demonstrated effective bone fusion and high safety at a low dose of BMP‐2 delivered by the system, establishing it as a promising platform for safe ...
Se‐Hwan Lee+12 more
wiley +1 more source
Critical assessment of methods of protein structure prediction (CASP)—Round XII
J. Moult+4 more
semanticscholar +1 more source
Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth
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
Challenges in bridging the gap between protein structure prediction and functional interpretation. [PDF]
Varadi M, Tsenkov M, Velankar S.
europepmc +1 more source