AIMC Topic: Hydrocarbons, Cyclic

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MLatom 2: An Integrative Platform for Atomistic Machine Learning.

Topics in current chemistry (Cham)
Atomistic machine learning (AML) simulations are used in chemistry at an ever-increasing pace. A large number of AML models has been developed, but their implementations are scattered among different packages, each with its own conventions for input ...

"Ring Breaker": Neural Network Driven Synthesis Prediction of the Ring System Chemical Space.

Journal of medicinal chemistry
Ring systems in pharmaceuticals, agrochemicals, and dyes are ubiquitous chemical motifs. While the synthesis of common ring systems is well described and novel ring systems can be readily and computationally enumerated, the synthetic accessibility of...

Bimolecular Nucleophilic Substitution Reactions: Predictive Models for Rate Constants and Molecular Reaction Pairs Analysis.

Molecular informatics
Here, we report the data visualization, analysis and modeling for a large set of 4830 S 2 reactions the rate constant of which (logk) was measured at different experimental conditions (solvent, temperature). The reactions were encoded by one single m...