Results 281 to 290 of about 136,223 (377)

Phase 1 Dose Escalation of Single‐Agent Mechlorethamine in Dogs With Lymphoma

open access: yesVeterinary and Comparative Oncology, Volume 24, Issue 1, Page 51-57, March 2026.
ABSTRACT Mechlorethamine is commonly prescribed to dogs at 3 mg/m2. The minimal toxicity observed indicates that higher doses of mechlorethamine are likely tolerable. The primary objective of this study was to determine the maximally tolerated dose (MTD) of mechlorethamine in dogs with lymphoma.
Laura E. Chadsey   +2 more
wiley   +1 more source

Direct Identification and Quantification of Flavonoids and Their Structural Isomers Using Ambient Ionization Tandem Mass Spectrometry

open access: yesRapid Communications in Mass Spectrometry, Volume 40, Issue 3, 15 February 2026.
ABSTRACT Rationale Flavonoids are phenolic compounds with many health‐benefiting properties. However, differentiating different types of flavonoids and their isomers is challenging due to their highly similar structures of various subtypes and different numbers and sites of substituents.
Yanqiu Wang   +4 more
wiley   +1 more source

Increased mutagenicity in the liver of MutaMouse females following oral treatment with commercial-grade toluene diisocyanate. [PDF]

open access: yesGenes Environ
Matsumoto M   +7 more
europepmc   +1 more source

A general model for analysis of linear and hyperbolic enzyme inhibition mechanisms

open access: yesFEBS Open Bio, Volume 16, Issue 2, Page 365-381, February 2026.
We developed a general enzyme kinetic model that integrates these six basic inhibition mechanism onto a single one. From this model, we deduced a general enzyme kinetic equation that through modulation of simple parameters, γ (the relative inhibitor affinity for two binding sites) and β (the reactivity of the enzyme–substrate–inhibitor complex), is ...
Rafael S. Chagas, Sandro R. Marana
wiley   +1 more source

First‐Principles Structure–Activity Relationship Insights Into Phenolic Scaffolds: QSAR Modeling and Drug‐Likeness Screening

open access: yesAdvanced Theory and Simulations, Volume 9, Issue 2, February 2026.
Integrated machine learning framework for phenolic derivatives: classification (toxicity) and regression (logP) models identify top drug‐like compounds. Random Forest outperformed for toxicity, while Linear Regression best predicted logP. A weighted scoring approach prioritized five safe, lipophilicity‐optimized candidates, supporting rational ...
Houria Nacer   +7 more
wiley   +1 more source

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