Results 41 to 50 of about 7,878 (217)
β‐Triketone‐Based Ionizable Cationic Lipids Synthesized via Click Chemistry for siRNA Delivery
This study innovatively applies β‐triketone‐based click chemistry in the synthesis of ionizable cationic lipids (ICLs), which allows the generation of a lipid library in large quantities and in a short time. The ICLs identified achieved effective lipid nanoparticles‐mediated hepatic gene silencing in vivo using siRNA, and computational simulations are ...
Huatian Li +7 more
wiley +1 more source
Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanisms [PDF]
International audienceThe molecular structures of 77 nitroaromatic compounds have been correlated to their thermal stabilities by combining the quantitative structure-property relationship (QSPR) method with density functional theory (DFT). More than 300
Adamo, Carlo +3 more
core +3 more sources
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
In the present study, we calculated the logb12 stability constant of twenty new ML2 complexes between thiosemicarbazone and metal ions based on the modelling techniques of the quantitative structure and property relationship (QSPR). The QSPR models were
Hoang Minh Nguyen, Nguyen Minh Quang
doaj +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
In this paper, multiple linear regression (MLR) was used to build quantitative structure property relationship (QSPR) of n-octanol-water partition coefficient (logPo/w) of 195 substituted aromatic drugs. The molecular descriptors were calculated for each
Asrin Bahmani +2 more
doaj +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Eccentric indices based QSPR evaluation of drugs for schizophrenia treatment
Schizophrenia is a long-term, serious mental health condition that affects how a person thinks, perceives, and behaves. This disorder often results in substantial difficulties in social interactions and work performance.
Muneeba Mansha +2 more
doaj +1 more source
ABSTRACT Polysorbate‐degrading host cell proteins (HCPs) represent a critical challenge in the manufacturing of monoclonal antibody therapeutics due to their potential to persist during downstream processing. While their enzymatic activity has been characterized, the role of direct HCP‐mAb interactions, particularly those involving polysorbate ...
Melanie Maier +3 more
wiley +1 more source
In this paper, we report a quantitative structure-property relationship (QSPR) model development for friction sensitivity prediction of nitramine energetic materials.
Sergey V. Bondarchuk
doaj +1 more source

