Results 101 to 110 of about 217,450 (265)

L‐aspartate oxidase provides new insights into fumarate reduction in anaerobic darkness in Synechocystis sp. PCC6803

open access: yesFEBS Letters, EarlyView.
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil   +3 more
wiley   +1 more source

Modeling and the Use of Surrogate Endpoints: Is This a Valid Approach?

open access: yesDigestive Diseases and Sciences
Abstract Development of novel colorectal cancer (CRC) screening tests is a dynamic field. Decision analytic modeling based on inputs derived from rigorous prospective studies informs CRC screening guidelines. Exploratory modeling may have a place in early phases of test development.
Ladabaum, Uri   +5 more
openaire   +2 more sources

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

open access: yesFEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise   +5 more
wiley   +1 more source

Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms

open access: yesArray
Surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. Although SAEAs use surrogate models that approximate the evaluations of solutions using machine learning techniques, prior research has not adequately investigated the impact of surrogate model accuracy on search performance and model ...
Yuki Hanawa   +2 more
openaire   +2 more sources

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

open access: yesFEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos   +9 more
wiley   +1 more source

Smaller is better: nanobodies meet NMR

open access: yesFEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Physics-based active-learning surrogate model for rapid safety assessment of temporary steel trestle bridges under construction vehicle loads

open access: yesFrontiers in Earth Science
The safety status of temporary steel trestle bridge will deteriorate rapidly due to severe riverbed erosion caused by natural disasters such as floods and storm surges, rapid degradation of supporting structures, and the superposition of heavy vehicle ...
Xiaodong Liu   +5 more
doaj   +1 more source

Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

open access: yesFEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

On the Performance of Physics-Informed Neural Networks for Hemodynamic Predictions in Parameterized Vascular Stenoses

open access: yesComputation
Accurate hemodynamic assessment is essential for characterizing vascular function and pathology. While computational fluid dynamics (CFD) provides the means to simulate blood flow, each anatomical variation requires its own dedicated simulation, which in
Michail Athanasiou   +2 more
doaj   +1 more source

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