Results 71 to 80 of about 336,434 (268)

Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data

open access: yesCPT: Pharmacometrics & Systems Pharmacology
Noncompartmental analysis (NCA) is a model‐independent approach for assessing pharmacokinetics (PKs). Although the existing NCA algorithms are very well‐established and widely utilized, they suffer from low accuracies in the setting of sparse PK samples.
Gengbo Liu   +5 more
doaj   +1 more source

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

open access: yesFEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan   +11 more
wiley   +1 more source

Identifying and characterising a plant GH1 β‐glucosidase that exhibits hydrolytic activity on N‐linked glucopyranoside

open access: yesFEBS Open Bio, EarlyView.
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli   +3 more
wiley   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

open access: yesFEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty   +13 more
wiley   +1 more source

A fractional order SIR epidemic model with nonlinear incidence rate

open access: yesAdvances in Difference Equations, 2018
In this paper, a fractional order SIR epidemic model with nonlinear incidence rate is presented and analyzed. First, we prove the global existence, positivity, and boundedness of solutions.
Abderrahim Mouaouine   +3 more
doaj   +1 more source

Models in simulation [PDF]

open access: yesSoftware & Systems Modeling, 2016
Jeff Gray 0001, Bernhard Rumpe
openaire   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

open access: yesFEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Simulation of econometric models [PDF]

open access: yesProceedings of the 6th conference on Winter simulation, 1973
The purposes of this tutorial are to present some fundamental properties of econometric model structures relevant to effective understanding of simulation procedures, and to describe the use of simulation software for analysis and forecasting.The fundamental concepts of model specification are developed formally to provide a logical foundation for ...
openaire   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Models, Simulations, and Experiments [PDF]

open access: yes, 2002
I discuss the difference between models, simulations, and experiments from an epistemological and an ontological perspective. I first distinguish between “static” models (like a map) and “dynamic” models endowed with the capacity to generate processes. Only the latter can be used to simulate.
openaire   +2 more sources

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