An interrupted Barton–Zard reaction/Friedel–Crafts alkylation telescoped reaction provides aryl‐substituted pyrrolo[3,4‐b] cores in moderate‐to‐good yields as mostly single diastereomers. The reaction is tolerant of a wide range of electron‐deficient indoles and (hetero)aromatic nucleophiles, offering a modular approach for the synthesis of multi ...
Josip Rešetar+5 more
wiley +1 more source
Scalable Main Group Mechanocatalytic CO2 Valorisation to Cyclocarbonate Species
Herein, we present a scalable mechanocatalytic method for synthesizing cyclic carbonates from solid and liquid epoxides using CO₂ at 1 bar and room temperature. Employing a gallium aminotrisphenolate catalyst, this process achieves high yields, efficiently transforms multi‐terminal epoxides, and outperforms solution‐based methods in green metrics ...
Javier F. Reynes+6 more
wiley +2 more sources
Therapeutic Role of Heterocyclic Compounds in Neurodegenerative Diseases: Insights from Alzheimer's and Parkinson's Diseases. [PDF]
Puranik N, Song M.
europepmc +1 more source
Therapeutic Potential of Heterocyclic Compounds Targeting Mitochondrial Calcium Homeostasis and Signaling in Alzheimer's Disease and Parkinson's Disease. [PDF]
Tapias V+5 more
europepmc +1 more source
Advances on Albumin‐Based Carriers for Anticancer Drug Delivery
This study systematically classifies the drug delivery modes of albumin by examining the characteristics of its surface‐active groups and internal binding sites. It provides an in‐depth analysis of various drug delivery strategies and their corresponding targeting mechanisms.
Ruoli Zhou+4 more
wiley +1 more source
An updated review of fatty acid residue-tethered heterocyclic compounds: synthetic strategies and biological significance. [PDF]
Majrashi TA+5 more
europepmc +1 more source
Heterocyclic compounds derived from 5- and 8-aminoquinolines
Gordon Kingsley Hughes+2 more
openalex +2 more sources
Ortho-Amido-phenylhydrazine and some Interesting Heterocyclic Compounds derived from it. [PDF]
PRAPHULLA CHANDRA GUHA+1 more
openalex +1 more source
Mitigating Molecular Aggregation in Drug Discovery With Predictive Insights From Explainable AI
In this work, MEGAN, our explainable AI model, is applied to predict small colloidally aggregating molecules (SCAMs), a significant source of false positives in drug discovery. MEGAN provides interpretable predictions and proposes structurally similar, non‐aggregating alternative molecules.
Hunter Sturm+4 more
wiley +2 more sources