Results 21 to 30 of about 8,649 (251)
The corrosion inhibition of aluminum alloy surface (6063AA) by Sildenafil (SIL) in 1 M for both HCl and NaOH solutions was investigated using weight loss, electrochemical techniques and quantum calculations.
M. Abdallah +6 more
doaj +1 more source
Prediction of the retention of β-diketonato complexes in TLC systems on silica gel by quantitative structure–retention relationships [PDF]
Quantitative structure–retention relationships for a series of 30 mixed β-diketonato complexes of cobalt(III), chromium(III) and ruthenium(III) were derived by multiple linear regression analyses using molecular descriptors obtained by quantum chemical ...
RADA M. BAOŠIĆ +2 more
doaj
Quantum Molecular Descriptors of 6-Thioguanine Adsorbed PPy-PNVK Conducting Polymer: A DFT Analysis
6-Thioguanine (6-TG) is an important drug to cure cancer with fierce adverse effects on human being, necessitating its frequent monitoring. Present work reports the computational analysis of a copolymer (PPy-PNVK), synthesized using polypyrrole (PPy) and poly(9-vinyl carbazole) (PNVK) host polymers.
Kirtesh Pratap Khare +4 more
openaire +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Supervised Machine Learning-Graph Theory Approach For Analyzing the Electronic Properties of Alkanes
The combination of advanced scientific computing and quantum chemistry improves the existing approach in all chemistry and material science fields. Machine learning has revolutionized numerous disciplines within chemistry and material science.
Nurul Aimi Zakaria +2 more
doaj +1 more source
Modeling studies using 3D-QSAR and molecular docking methods were performed on a set of 34 hybrids of 4-aminoquinoline derivatives previously studied as effective antimalarial agents of wild type and quadruple mutant Plasmodium falciparum dihydrofolate ...
Hanine Hadni +4 more
doaj +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Machine learning approach to topological graph descriptors of graphene nanoribbons
Bottom-up syntheses of graphene nanoribbons have gathered considerable research interest because of their electronic properties and quantum behaviors which enhance their significance in nanotechnology.
K. Jyothish +5 more
doaj +1 more source

