Results 51 to 60 of about 220,158 (316)
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
This paper presents an analytical investigation of the unsteady magneto hydrodynamic (MHD) flow of a Powell–Eyring nanofluid over an oscillating vertical plate in a rotating frame.
Fahad Sameer Alshammari +5 more
doaj +1 more source
Fluid Structure Interaction (FSI) Simulation of the human eye under the air puff tonometry using Computational Fluid Dynamics (CFD) [PDF]
The air puss test is a non-contact method used in different areas to investigate the material behaviour or the biomechanical properties of biological tissues such as skin, cornea, and soft tissue tumours and also to study fruit rmness or meat tenderness.
Maklad, O +5 more
core
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Microscopic Computer Simulation of Fluids [PDF]
When studying fluids it is frequently the case that the construction of a reasonable approximate theory becomes an elusive endeavor. The more difficult and interesting these problems are the better it is to have exact results, coming directly from the microscopic kinetics, both to test the existing theoretical approaches and to gain insights into new ...
P. Cordero, D. Risso
openaire +1 more source
Deep Fluids: A Generative Network for Parameterized Fluid Simulations [PDF]
AbstractThis paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields. Due to the capability of deep learning architectures to learn representative features of the data, our generative ...
Byungsoo Kim 0001 +5 more
openaire +4 more sources
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Using thin-section images to estimate core permeability is an economical and less time-consuming method for reservoir evaluation, which is a goal that many petroleum developers aspire to achieve.
Chengfei Luo +8 more
doaj +1 more source
Numerical simulation of single droplet dynamics in three-phase flows using ISPH [PDF]
In this study, a new surface tension formulation for modeling incompressible, immiscible three-phase fluid flows in the context of incompressible smoothed particle hydrodynamics (ISPH) in two dimensions has been proposed.
Yıldız, Mehmet +2 more
core +1 more source

