Results 131 to 140 of about 7,127,658 (298)

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

open access: yesFEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens   +8 more
wiley   +1 more source

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

Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF

open access: yesYou-qi chuyun
Objective China's oil and gas pipeline networks are expected to reach 24×104 km by 2025. Pipeline transportation has become one of the key means of transportation in the country.
Fulin SONG, Hong ZHAO, Xingyuan MIAO
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

Clustering longitudinal multivariate trajectories using an ensemble of principal component trees

open access: yesBMC Medical Research Methodology
Purpose Clustering longitudinal data is challenging, particularly when measurements are high-dimensional, irregularly sampled, or noisy. We aim to provide a flexible and interpretable framework for identifying meaningful temporal subgroups and their key ...
Bastian Pfeifer   +3 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

open access: yesFEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang   +4 more
wiley   +1 more source

Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework

open access: yesCivilEng
This study proposes a novel framework for determining variables’ weights in transportation assets condition indices calculations using statistical and machine learning techniques.
Abdallah B. Al-Hamdan   +3 more
doaj   +1 more source

Clinical feature importance plot.

open access: yes
(A) hospitalization, (B) escalation of care, and (C) mortality. Feature importance values for each of the three outcomes of interest are presented as a percentage, which is indicative of the fraction of error reduction that a given feature contributed to
Kyung Min Lee (489747)   +8 more
core   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

open access: yesFEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta   +3 more
wiley   +1 more source

Predicting User Purchases From Clickstream Data: A Comparative Analysis of Clickstream Data Representations and Machine Learning Models

open access: yesIEEE Access
Predicting purchase events from e-commerce clickstream data is a critical challenge with significant implications for optimizing marketing strategies and enhancing customer experience.
A. Aylin Tokuc, Tamer Dag
doaj   +1 more source

Home - About - Disclaimer - Privacy