Results 131 to 140 of about 693,698 (310)
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
A Hybrid PSO-GA Optimized Approach for COVID-19 Detection Using CT Scan
The rapid global spread of COVID-19 has underscored the urgency of developing efficient diagnostic tools. Although RT-PCR is the gold standard for diagnosis, its time and resource-intensive nature emphasizes the need for alternative approaches.
Abdelghany Fathy +4 more
doaj +1 more source
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source
Apple Varieties Classification Using Deep Features and Machine Learning
Having the advantages of speed, suitability and high accuracy, computer vision has been effectively utilized as a non-destructive approach to automatically recognize and classify fruits and vegetables, to meet the increased demand for food quality ...
Alper Taner +5 more
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
A comparative study of human facial age estimation: handcrafted features vs. deep features
International audienceIn recent times, the topic of human facial age estimation attracted much attention. This is due to its ability to improve biometrics systems.
Ouafi, A. +4 more
core +1 more source
DFD-SLAM: Visual SLAM with Deep Features in Dynamic Environment
Visual SLAM technology is one of the important technologies for mobile robots. Existing feature-based visual SLAM techniques suffer from tracking and loop closure performance degradation in complex environments.
Wei Qian, Jiansheng Peng, Hongyu Zhang
doaj +1 more source
A Survey of DNN Methods for Blind Image Quality Assessment
Blind image quality assessment (BIQA) methods aim to predict quality of images as perceived by humans without access to a reference image. Recently, deep learning methods have gained substantial attention in the research community and have proven useful ...
Xiaohan Yang, Fan Li, Hantao Liu
doaj +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Quantitative features are generated from a tumor phenotype by various data characterization, feature-extraction approaches and have been used successfully as a biomarker.
Rahul Paul +7 more
core +1 more source

