Results 71 to 80 of about 363,660 (280)
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu +7 more
wiley +1 more source
Quantifying Through-Space Substituent Effects [PDF]
The description of substituents as electron donating or withdrawing leads to a perceived dominance of through-bond influences. The situation is compounded by the challenge of separating through-bond and through-space contributions.
Burns, Rebecca +9 more
core +1 more source
We developed Affinity Selection Thin‐Layer Chromatography (AS‐TLC) as a method for high‐throughput screening (HTS) of compound mixtures. Furthermore, we integrated activity assays with AS‐TLC and identified a YTH domain‐containing protein 1 (YTHDC1) inhibitor. Building on this hit, we applied copper(I)‐catalyzed azide–alkyne cycloaddition (CuAAC) click
Mingchen Wang +19 more
wiley +1 more source
Substituent effect on the electronic, structural, spectroscopic (IR and NMR) properties of H-C@Al12-para-C6H4X clusters was explored at CAM-B3LYP/6-311G(d,p) level of theory. Selected substitutions were NH2, OH, Me, H, Cl, SiH3, CN, NC, NO2.
Reza Ghiasi +2 more
doaj +1 more source
Substituent constants and quantum chemical parameters were calculated from PM6, PM3, AM1, RM1 and MNDO. Hamiltonians were used to predict the corrosion inhibition potential of nine amino acids grouped under three skeletons.
Nnabuk O. Eddy
doaj +1 more source
Quantum‐Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion‐Scale
Quantum‐trained AI links molecular substructures to frontier‐orbital energetics and enables interpretable screening across nearly one billion GDB‐13 molecules. By combining fragment‐ and ring‐level insights with donor–acceptor energy alignment against ITIC, the framework narrows an immense chemical space to a small set of promising candidates and ...
Yeongnam Ko, Se Jin Kim, Ki Chul Kim
wiley +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
From passive to active ion transport: π‐conjugated heterocycles reconfigure the hydration environment and microphase morphology of p‐terphenyl‐based anion‐exchange membranes, enabling fast hydroxide transport and high‐performance water electrolysis. ABSTRACT Anion‐exchange membrane water electrolysis (AEMWE) is a promising technology for sustainable ...
Qian Wang +8 more
wiley +1 more source
Side‐chain asymmetry in quinoxaline copolymer donors modulates donor–acceptor miscibility and blend morphology in all‐polymer solar cells. The asymmetric donor PBAQ6 enables more balanced charge transport, reduced recombination, and improved charge dynamics with PYF‐T‐o, delivering PCEs of 18.35% in binary devices and 19.52% in ternary devices ...
Can Zhu +13 more
wiley +1 more source
High Birefringence Liquid Crystals
Liquid crystals, compounds and mixtures with positive dielectric anisotropies are reviewed. The mesogenic properties and physical chemical properties (viscosity, birefringence, refractive indices, dielectric anisotropy and elastic constants) of compounds
Jakub Herman +2 more
doaj +1 more source

