Results 121 to 130 of about 38,574 (278)

A Neutron Diffraction Study of the Crystal and Molecular Structure of Pyrazole, C3H4N2. [PDF]

open access: bronze, 1970
Finn Larsen   +4 more
openalex   +1 more source

Recent Insights in Multi‐Target Drugs in Pharmacology and Medicinal Chemistry

open access: yesChemMedChem, EarlyView.
This review highlights the rationale behind multitarget drug design as a promising approach to address diseases with complex etiologies. By combining pharmacophore features from different single‐target drugs, multitarget compounds can interact with multiple biological targets simultaneously.
Sadık Hüseyin Cemali   +7 more
wiley   +1 more source

Syntheses of Pyrazole Derivatives. VI

open access: bronze, 1963
Akira Takamizawa   +3 more
openalex   +2 more sources

Novel Pyrazolo [1,5‐a]−1,3,5‐Triazine Derivatives as CDK7 Inhibitors: Synthesis and Biological Insights in Pancreatic Ductal Adenocarcinoma Models

open access: yesChemMedChem, EarlyView.
Pyrazolo [1,5‐a]−1,3,5‐triazine derivatives efficiently synthesized showed remarkable cytotoxicity and inhibition of cell migration in PDAC models. They induced apoptosis, upregulated apoptotic gene expression, and disrupted the cell cycle, significantly reducing the viability of spheroidal PATU‐T cultures.
Daniela Carbone   +10 more
wiley   +1 more source

How to (not) Evaluate a Photoswitch Performance; Benchmarking of Methods Used for Processing Kinetic Data on an Example of Arylazopyrazole Z‐Isomer Half‐Life

open access: yesChemistry–Methods, EarlyView.
The key parameter for characterization of novel photoswitches is a half‐life of the metastable form. However, processing one kinetic data set by different approaches used in literature leads to a wide range of the half‐lives with up to 25% deviation, which may cause significant inconsistencies when comparing the photoswitchable systems.
Anna Hruzíková   +2 more
wiley   +1 more source

Syntheses of Pyrazole Derivatives. VIII

open access: bronze, 1965
Akira Takamizawa   +2 more
openalex   +2 more sources

Accurate and Rapid Ranking of Protein–Ligand Binding Affinities Using Density Matrix Fragmentation and Physics‐Informed Machine Learning Dispersion Potentials

open access: yesChemPhysChem, EarlyView.
Two efficient methods, generalized many‐body expansion for building density matrices (GMBE‐DM) and D3‐ML, are introduced for ranking protein–ligand binding affinities. GMBE‐DM delivers quantum‐accurate results within minutes, while D3‐ML achieves even higher accuracy in under one second per complex.
Ka Un Lao, Danyang Wang
wiley   +1 more source

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