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A new Reinforcement Learning framework to discover natural flavor molecules
- Publication Year :
- 2022
-
Abstract
- The flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and molecules are essential in this field. On the other hand, the development of natural flavors plays a critical role in modern society. In light of this, the present work proposes a novel framework based on Scientific Machine Learning to undertake an emerging problem in flavor engineering and industry. Therefore, this work brings an innovative methodology to design new natural flavor molecules. The molecules are evaluated regarding the synthetic accessibility, the number of atoms, and the likeness to a natural or pseudo-natural product.<br />Comment: 24 pages, 8 figures
- Subjects :
- Computer Science - Machine Learning
Quantitative Biology - Quantitative Methods
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2209.05859
- Document Type :
- Working Paper