Results 141 to 150 of about 522,701 (266)
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett +19 more
wiley +1 more source
Binding affinity is an important factor in drug design to improve drug-target selectivity and specificity. In this study, in silico techniques based on molecular docking followed by molecular dynamics (MD) simulations were utilized to identify the key ...
Chompunud Chompunud Na Ayudhya +2 more
doaj +1 more source
Natural products constitute a significant reservoir for novel pesticide development. D-pinitol ((1 R,2S,3r,4 R,5S,6r)-6-methoxycyclohexane-1,2,3,4,5-pentol), a compound exhibiting robust herbicidal activity, has been isolated from Sapindus mukorossi leaf
Mingyu Wang +6 more
doaj +1 more source
Hybrid neural network approaches to predict drug-target binding affinity for drug repurposing: screening for potential leads for Alzheimer's disease. [PDF]
Wu X, Li Z, Chen G, Yin Y, Chen CY.
europepmc +1 more source
Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells
Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli +17 more
wiley +1 more source
CSatDTA: Prediction of Drug-Target Binding Affinity Using Convolution Model with Self-Attention. [PDF]
Ghimire A, Tayara H, Xuan Z, Chong KT.
europepmc +1 more source
Simvastatin mitigates placental hypoperfusion in OAPS by ameliorating abnormal uteromaternal hemodynamics and enhancing trophoblast invasion via optimized endothelial cell interactions under pathological shear stress, as evidenced by results from a placenta‐on‐a‐chip platform.
Hongli Liu +10 more
wiley +1 more source
MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug-Target Binding Affinity Prediction. [PDF]
Wang S +6 more
europepmc +1 more source
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He +10 more
wiley +1 more source
The optimization of the affinity of monoclonal antibodies is crucial for the development of drug candidates, as it can impact the efficacy of the drug and, thus, the dose and dosing regimen, limit adverse effects, and reduce therapy costs.
Julia Harwardt +5 more
doaj +1 more source

