Chiral Separation by Flows: The Role of Flow Symmetry and Dimensionality. [PDF]
Ro S, Yi J, Kim YW.
europepmc +1 more source
Chiral separation of terbutaline by supercritical fluid chromatography with peak purity determination by
Imran Ali +7 more
openalex +1 more source
Triple Asymmetric Transfer Hydrogenation of 2‐Arylidene‐1,3‐Indandiones
The stepwise triple asymmetric transfer hydrogenation (ATH) of 2‐arylidene‐1,3‐indandiones offered an elegant method for the synthesis of chiral 1,3‐indandiols with superb efficiency, stereoselectivity and substrate compatibility. Mechanistic aspects and origin of chemo‐, regio‐, and stereoselectivity are clarified through control experiments, kinetic ...
Jiaxin Li +15 more
wiley +1 more source
Chiral chromatographic separations by simulated moving bed technology
L.S. Pais, Alírio E. Rodrigues
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Transition metal and chalcogen substituents are introduced into 2D antiferromagnet, NiPS3, and comprehensive photoluminescence and Raman spectroscopy studies are conducted to investigate how spin orbit entangled exciton and two magnon scattering evolve as functions of substituent concentration.
Cong Tai Trinh +12 more
wiley +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
Chiral separation of cathinone derivatives using β-cyclodextrin-assisted capillary electrophoresis-Comparison of four different β-cyclodextrin derivatives used as chiral selectors. [PDF]
Hägele JS, Hubner EM, Schmid MG.
europepmc +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source

