Chemistry Inspired Molecular Representation for Property Prediction

Prediction of molecular properties using molecular structures is an important problem in chem-/bioinformatics. In this work, we propose a molecular representation approach using the concept of functional groups in chemistry. The proposed molecular representation is then used for predicting molecular properties. The approach is also compared with the state-of-the art deep learning model.