Activity against of a new class of spirooxindolopyrrolidine embedded chromanone hybrid heterocycles.

A new class of structurally intriguing heterocycles embedded with spiropyrrolidine, oxindole and chromanones was prepared by regio- and stereoselectively in quantitative yields using an intermolecular tandem cycloaddition protocol. The compounds synthesized were assayed for their anti-mycobacterial activity against () H37Rv and isoniazid-resistant ( and promoter mutations) clinical isolates. Four compounds exhibited significant antimycobacterial activity against strains tested.

Graph-based molecular Pareto optimisation.

Computer-assisted design of small molecules has experienced a resurgence in academic and industrial interest due to the widespread use of data-driven techniques such as deep generative models. While the ability to generate molecules that fulfil required chemical properties is encouraging, the use of deep learning models requires significant, if not prohibitive, amounts of data and computational power. At the same time, open-sourcing of more traditional techniques such as graph-based genetic algorithms for molecular optimisation [Jensen, , 2019, , 3567-3572] has shown that simple and training-free algorithms can be efficient and robust alternatives.

Illuminating elite patches of chemical space.

In the past few years, there has been considerable activity in both academic and industrial research to develop innovative machine learning approaches to locate novel, high-performing molecules in chemical space. Here we describe a new and fundamentally different type of approach that provides a holistic overview of how high-performing molecules are distributed throughout a search space. Based on an open-source, graph-based implementation [J.