Results 191 to 200 of about 82,349 (282)

Redox modulation contributes to the antidepressant-like and neuroprotective effects of 7-chloro-4-(phenylselanyl)quinoline in an Alzheimer's disease model. [PDF]

open access: yesRedox Rep
De Oliveira RL   +14 more
europepmc   +1 more source

Synthesis of novel pyrazole derivatives and neuroprotective effect investigation. [PDF]

open access: yesJ Enzyme Inhib Med Chem
Feng A   +8 more
europepmc   +1 more source

Structure-Based Design of Reversible, Quinoline-2(1<i>H</i>)‑one Inhibitors of Serine- and Metallo-Carbapenemases. [PDF]

open access: yesACS Omega
Jacobs LMC   +13 more
europepmc   +1 more source

Transfer Hydrogenation of Organic Azides to Amines by Ammonia Borane Complex Under Mild Conditions Catalyzed by Reusable Au Nanoparticles

open access: yesEuropean Journal of Organic Chemistry, Volume 29, Issue 14, 15 April 2026.
Organic azides are readily reduced to amines under mild conditions by ammonia borane complex, catalyzed by a low loading level of reusable Au nanoparticles supported on TiO2. We present the first protocol for the chemoselective reduction of organic azides to amines by ammonia borane complex. In the presence of a low catalytic amount of Au nanoparticles
Elisavet‐Maria Zantioti‐Chatzouda   +5 more
wiley   +1 more source

Photocatalytic Cross‐Coupling of Phenols and Heteroaryl Halides With Machine Learning‐Guided Reaction Prediction

open access: yesAngewandte Chemie, Volume 138, Issue 16, 13 April 2026.
Photocatalytic cross‐coupling: A redox‐neutral photochemical method enables direct C(sp2)─C(sp2) bond formation between phenols and heteroaryl halides using an organic dye and base. Complementary radical generation allows efficient cross‐coupling in up to 91% yield. Mechanistic studies, DFT, HTE, and machine learning rationalize and predict reactivity,
Matthew C. Carson   +4 more
wiley   +2 more sources

Efficient Machine Learning Prediction of Solvent‐Dependent 1H$$ {}^1\mathrm{H} $$ NMR Chemical Shifts in Zinc Complexes

open access: yesJournal of Computational Chemistry, Volume 47, Issue 10, 15 April 2026.
Machine learning approach (ML) for rapid and accurate prediction of 1H‐NMR shifts in zinc complexes validated against experimental NMR data across multiple solvent environments. ABSTRACT Accurate prediction of NMR chemical shifts in transition metal complexes remains challenging due to the wide range of coordination environments and complex electronic ...
Jyothika R. Pillay   +5 more
wiley   +1 more source

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