Results 131 to 140 of about 693,698 (310)

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
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

open access: yesIEEE Access
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

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

open access: yesFEBS Letters, EarlyView.
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

open access: yesAgriculture
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

open access: yesFEBS Letters, EarlyView.
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

open access: yes, 2020
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

open access: yesApplied Sciences
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

open access: yesIEEE Access, 2019
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

open access: yesMolecular Oncology, EarlyView.
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

Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

open access: yes, 2019
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

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