Results 141 to 150 of about 10,398,409 (310)
Development of non-local density functional methods [PDF]
Density functional theory (DFT) is a popular approach to solving the many-electron Schrödinger equation, in order to investigate the properties of matter from first principles.
Jochym, Dominik Bogdan
core
Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source
Atomistic-to-continuum coupling approximation of a one-dimensional toy model for density functional theory [PDF]
We consider an atomistic model defined through an interaction field satisfying a variational principle and which can therefore be considered a toy model of (orbital-free) density functional theory.
Langwallner, Bernhard +2 more
core +1 more source
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Relativistic Linear Response in Quantum-Electrodynamical Density Functional Theory
We present the theoretical derivation and numerical implementation of the linear-response equations for relativistic quantum-electrodynamical density functional theory (QEDFT).
Lukas Konecny +4 more
doaj +1 more source
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Solving deep-learning density functional theory via variational autoencoders
In recent years, machine learning models, chiefly deep neural networks, have revealed suited to learn accurate energy-density functionals from data.
Emanuele Costa +2 more
doaj +1 more source
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Leveraging normalizing flows for orbital-free density functional theory
Orbital-free density functional theory (OF-DFT) for real-space systems has historically depended on Lagrange optimization techniques, primarily due to the inability of previously proposed electron density approaches to ensure the normalization constraint.
Alexandre de Camargo +2 more
doaj +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source

