Machine‐Learning Classification for the Prediction of Catalytic Activity of Organic Photosensitizers in the Nickel(II)‐Salt‐Induced Synthesis of Phenols
A strategy for the synthesis of phenols with an inorganic nickel(II) salt and an organic photosensitizer has been developed, together with machine-learning models to predict the catalytic activity of organic photosensitizers. An investigation into the effect of the descriptors clarified that inputting both physical and structural properties of the organic photosensitizers contributes to the construction
已经开发了一种用无机镍 (II) 盐和有机光敏剂合成酚类的策略,以及预测有机光敏剂催化活性的机器学习模型。对描述符影响的调查表明,输入有机光敏剂的物理和结构特性有助于构建稳健的机器学习模型。
Targeting Several Biologically Reported Targets of Glioblastoma Multiforme by Assaying 2D and 3D Cultured Cells
作者:Yudibeth Sixto-López、Emilie Marhuenda、Juan Benjamin García-Vazquez、Manuel Jonathan Fragoso-Vazquez、Martha Cecilia Rosales-Hernández、Oscar Zacarías-Lara、David Méndez-Luna、José Antonio Gómez-Vidal、David Cornu、Bakalara Norbert、José Correa-Basurto