Results 111 to 120 of about 31,763 (232)

QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents [PDF]

open access: yesTrends in Pharmaceutical Sciences, 2016
Dichloroacetate (DCA) is a pyruvate mimetic compound that stimulates the activity of the enzyme pyruvate dehydrogenase (PDH) through inhibition of the enzyme pyruvate dehydrogenase kinases (PDK1-4).
Masood Fereidoonnezhad   +5 more
doaj  

Discovery of a Potent and Selective MAO‐B Inhibitor From a Donepezil‐Linked Chalcone Library With Promising Antiparkinsonian Activity

open access: yesDrug Development Research, Volume 87, Issue 5, August 2026.
ABSTRACT A focused library of 19 donepezil‐linked chalcones (DLCs) was efficiently synthesised through microwave‐assisted Claisen‐Schmidt condensation and subsequently profiled for their inhibitory activities against cholinesterases (AChE and BuChE) as well as monoamine oxidases (MAO‐A and MAO‐B).
Azize Kirac‐Aydin   +11 more
wiley   +1 more source

Sinks, G.D.; Carver, T.A.; Schultz, T.W. Structure-Toxicity Relationships for Aminoalkanols: A Comparison with Alkanols and Alkanamines. SAR QSAR Environ. Res. 1998, 9, 3-4, 217–228. [PDF]

open access: yes, 2012
The relative toxicity (log IGC50(-1)) of 49 selected aliphatic amines and aminoalkanols was evaluated in the static Tetrahymena pyriformis population growth impairment assay.

core   +1 more source

A review on the structural characterization of nanomaterials for nano-QSAR models

open access: yesBeilstein Journal of Nanotechnology
Quantitative structure–activity relationship (QSAR) models are routinely used to predict the properties and biological activity of chemicals to direct synthetic advances, perform massive screenings, and even to register new substances according to ...
Salvador Moncho   +3 more
doaj   +1 more source

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

open access: yesProteins: Structure, Function, and Bioinformatics, Volume 94, Issue 8, Page 1458-1484, August 2026.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal   +3 more
wiley   +1 more source

Integrating Artificial Intelligence Into Drug Discovery From Medicinal Plants: Current Applications and Infrastructural Challenges

open access: yesChemical Biology &Drug Design, Volume 108, Issue 2, August 2026.
This review presents a systems‐oriented roadmap for integrating artificial intelligence into medicinal plant drug discovery to overcome persistent bottlenecks like extract complexity. It highlights that advancing toward reproducible therapeutics requires making phytochemical datasets AI‐ready via rigorous harmonization and phyto‐centric foundational ...
Amit Gangwal   +5 more
wiley   +1 more source

Computer prediction of toxicity of new S-alkyl derivatives of 1,2,4-triazole

open access: yesAktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki
1,2,4-Triazole derivatives are of researchers’ significant interest due to their diverse biological properties, such as antimicrobial, anti-inflammatory, anticancer, and antioxidant activities.
V. V. Kalchenko, R. O. Shcherbyna
doaj   +1 more source

Quantum chemistry parameters in QSAR toxicity studies of anilines(量子化学参数用于苯胺类化合物的QSAR毒性研究)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2003
采用了ChemOffice6.0中MOPAC-AMl量子化学法计算了24种苯胺类化合物的6种量子化学参数,其中取17个化合物作为样本集对pEC50进行多元逐步回归分析,得到最佳方程:经自由度校正的回归系数R=0.985.应用所建立的QSAR模型验证了苯胺类化合物的EC50值,并通过"Jackknife"法中逐一抽取法进行模型检验,验证了该模型具有很好的稳定性,平均残差仅为0.05个对数单位,小于文献值.经过7个预测样本对该模型进行验证,结果表明该模型具有很好的预测能力,并分析了苯胺类化合物的毒性机理.
PEIHong-ping(裴洪平)   +1 more
doaj   +1 more source

Pharmacology, Medicinal Chemistry, and Therapeutic Potential of Imidazoline Receptor Ligands

open access: yesChemMedChem, Volume 21, Issue 13, 14 July 2026.
Building on the excellent review article by Dardonville and Rozas (2004), this paper summarizes the most representative ligands of imidazoline receptors (IR; I1, I2, and I3) and updates their pharmacological profiles. Although not exhaustive, it provides a solid starting point for understanding the significance of I2 IRs as promising therapeutic ...
Maria‐Eleni Kouridaki   +2 more
wiley   +1 more source

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