Synthesis and Structure-Activity Relationship (SAR) Studies on New 4-Aminoquinoline-Hydrazones and Isatin Hybrids as Promising Antibacterial Agents.

In response to the escalating crisis of antimicrobial resistance (AMR), there is an urgent need to research and develop novel antibiotics. This study presents the synthesis and assessment of innovative 4-aminoquinoline-benzohydrazide-based molecular hybrids bearing aryl aldehydes () and substituted isatin warheads (), characterized using multispectroscopic techniques with high purity confirmed by HRMS. The compounds were evaluated against a panel of clinically relevant antibacterial strains including the Gram-positive , , and and a Gram-negative bacterial strain.

Correction to "Ion-Exchange Resin/Carrageenan-Copper-Based Nanocomposite: Artificial Neural Network, Advanced Thermodynamic Profiling, and Anticoagulant Studies".

[This corrects the article DOI: 10.1021/acsomega.4c01540.

Understanding Whitening Loss in Self-Supervised Learning.

A desirable objective in self-supervised learning (SSL) is to avoid feature collapse. Whitening loss guarantees collapse avoidance by minimizing the distance between embeddings of positive pairs under the conditioning that the embeddings from different views are whitened. In this paper, we propose a framework with an informative indicator to analyze whitening loss, which provides a clue to demystify several interesting phenomena and a pivoting point connecting to other SSL methods.

Ion-Exchange Resin/Carrageenan-Copper-Based Nanocomposite: Artificial Neural Network, Advanced Thermodynamic Profiling, and Anticoagulant Studies.

Carrageenan (CG) and ion exchange resins (IERs) are better metal chelators. Kappa (κ) CG and IERs were synthesized and subjected to copper ion (Cu) adsorption to obtain DMSCH/κ-Cu, DC20H/κ-Cu, and IRP69H/κ-Cu nanocomposites (NCs). The NCs were studied using statistical physics formalism (SPF) at 315-375 K and a multilayer perceptron with five input nodes.

Fragment-based virtual screening identifies novel leads against Plasmepsin IX (PlmIX) of : Homology modeling, molecular docking, and simulation approaches.

Despite continuous efforts to develop safer and efficient medications, malaria remains a major threat posing great challenges for new drug discovery. The emerging drug resistance, increased toxicities, and impoverished pharmacokinetic profiles exhibited by conventional drugs have hindered the search for new entities. Plasmepsins, a group of specific, aspartic acid protease enzymes, are involved in many key aspects of parasite biology, and this makes them interesting targets for antimalarial chemotherapy.