Results 71 to 80 of about 611,383 (325)

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

open access: yesFEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik   +3 more
wiley   +1 more source

Edge functionalisation of graphene nanoribbons with a boron dipyrrin complex : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Nanoscience at Massey University, Manawatū, New Zealand [PDF]

open access: yes, 2017
Chemical modification can be used to tune the properties of graphene and graphene nanoribbons, making them promising candidates for carbon-based electronics.
Way, Ashley Jacqulyne
core  

Semilocal density functional theory with correct surface asymptotics

open access: yes, 2016
Semilocal density functional theory is the most used computational method for electronic structure calculations in theoretical solid-state physics and quantum chemistry of large systems, providing good accuracy with a very attractive computational cost ...
Constantin, L. A.   +3 more
core   +1 more source

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

open access: yesFEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli   +15 more
wiley   +1 more source

Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts

open access: yesiScience, 2021
Summary: New photocatalysts are traditionally identified through trial-and-error methods. Machine learning has shown considerable promise for improving the efficiency of photocatalyst discovery from a large potential pool. Here, we describe a multi-step,
Haoxin Mai   +6 more
doaj  

On subcellular distribution of the zinc finger 469 protein (ZNF469) and observed discrepancy in the localization of endogenous and overexpressed ZNF469

open access: yesFEBS Open Bio, EarlyView.
ZNF469 regulates the expression of genes encoding extracellular matrix proteins. Endogenous ZNF469 is predominantly cytoplasmic, while in transfected cells, it forms aggregates reminiscent of biomolecular condensates, located mainly in the nucleus. These condensates exhibit overlapping staining with proteasomes and are also associated with the mitotic ...
Anne Elisabeth Christensen Mellgren   +8 more
wiley   +1 more source

Electronic properties and applications of MXenes: a theoretical review

open access: yes, 2017
Recent chemical exfoliation of layered MAX phase compounds to novel two-dimensional transition metal carbides and nitrides, so called MXenes, has brought new opportunity to materials science and technology.
Arai, Masao   +4 more
core   +1 more source

Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater

open access: yesFEBS Open Bio, EarlyView.
We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui   +5 more
wiley   +1 more source

Solving Vertical Transport and Chemistry in Air Pollution Models. [PDF]

open access: yes, 2000
For the time integration of stiff transport-chemistry problems from air pollution modelling, standard ODE solvers are not feasible due to the large number of species and the 3D nature.
Berkvens, P.J.F.   +4 more
core   +4 more sources

An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation

open access: yesFEBS Open Bio, EarlyView.
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley   +1 more source

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