Spread the love“`html Exploring the fundamental principles of physics can ignite a passionate curiosity in students, especially when they can engage directly with the concepts through hands-on ...
Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.
The organic phase of resin composites is constituted by dimethacrylate resins, the most common monomers being the bisphenol A diglycidildimethacrylate (BisGMA), its ethoxylated version (BisEMA), ...
@article{khurana2018deepsol, title={DeepSol: a deep learning framework for sequence-based protein solubility prediction}, author={Khurana, Sameer and Rawi, Reda and Kunji, Khalid and Chuang, Gwo-Yu ...
High-concentration injectable formulations present unique challenges. Poor solubility issues are often associated with small-molecule APIs formulated for oral administration. Solubility is also ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents a series of hands-on experiments designed to teach principles of ...
Researchers have created a robotic system that can follow verbal cues and perform experiments. Lab scientists spend much of their time doing laborious and repetitive tasks, be it pipetting liquid ...
For the first time, researchers have observed communication between the rotors in a molecular motor. Although the exact mechanism is still a mystery, communicating components could convey complex and ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.chemmater.3c00636. Literature examples for Ce–O clusters, high ...
Industry is adapting to the increasing complexity and poor solubility and bioavailability of molecules in the pipeline. Poor solubility and low bioavailability have hindered the development pipeline ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results