Results 71 to 80 of about 3,770,672 (358)

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

open access: yesFEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang   +5 more
wiley   +1 more source

Computer-aided identification of Neisseria gonorrhoeae’s Bacteriophage-Q-beta inhibitors from selected anti-gonorrheal plants

open access: yesDiscover Chemistry
The emergence of multidrug-resistant Neisseria gonorrhoeae has intensified the need for innovative therapeutic strategies. One promising but underexplored target is the Hfq protein, a key regulator in bacterial stress response and pathogenesis.
Badmus Jamiu Damilare   +14 more
doaj   +1 more source

STTG-net: a Spatio-temporal network for human motion prediction based on transformer and graph convolution network

open access: yesVisual Computing for Industry, Biomedicine, and Art, 2022
In recent years, human motion prediction has become an active research topic in computer vision. However, owing to the complexity and stochastic nature of human motion, it remains a challenging problem.
Lujing Chen   +5 more
doaj   +1 more source

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

open access: yesFEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang   +8 more
wiley   +1 more source

FORECASTING PETROLEUM PRODUCTION USING CHAOS TIME SERIES ANALYSIS AND FUZZY CLUSTERING [PDF]

open access: yesICTACT Journal on Soft Computing, 2014
Forecasting of petroleum production time series is a key task underlying scheduling of oil refinery production. In turn, forecasting requires analysing whether time series exhibits chaotic behavior.
K.I. Jabbarova, O.H. Huseynov
doaj  

Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images

open access: yesInvestigative Radiology, 2019
Objectives The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories and to
A. Christe   +9 more
semanticscholar   +1 more source

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

open access: yesFEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang   +9 more
wiley   +1 more source

Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories

open access: yesScientific Data
Understanding pedestrian movement remains crucial for designing efficient and safe transportation structures such as terminals, stations, or airports. The significance of conducting a granular analysis in pedestrian mobility dynamics research is evident ...
Tomáš Apeltauer   +3 more
doaj   +1 more source

Analyzing positional accuracy and structural efficiency in additive manufacturing systems with moving elements

open access: yesResults in Engineering
Simulation is a useful tool for designing and analyzing the characteristics of a system being investigated. In this investigation, modal simulation and harmonic response analysis are performed to predict the dynamic characteristics of an additive ...
Tzu-Chi Chan   +2 more
doaj   +1 more source

Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis.

open access: yesJAMA dermatology, 2019
Importance The recent advances in the field of machine learning have raised expectations that computer-aided diagnosis will become the standard for the diagnosis of melanoma.
V. Dick   +4 more
semanticscholar   +1 more source

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