Is Organic Chemistry Really Growing Exponentially?

Area of Science:

• Organic Chemistry
• Synthetic Chemistry
• Computational Chemistry

Background:

• Organic chemistry exhibits exponential growth in molecules and reactions.
• Discovery of new reaction types is linear or sublinear, lagging behind overall growth.
• Synthetic chemistry increasingly relies on established methodologies.

Purpose of the Study:

• To analyze trends in organic reaction discovery, popularity, and complexity over time.
• To understand the implications of these trends for computational-assisted synthesis and machine learning models.
• To identify potential applications in detecting errors within chemical reaction databases.

Main Methods:

• Development of an algorithm to extract generalized reaction class templates.
• Quantitative analysis of reaction data to track trends over time.
• Evaluation of reaction complexity and popularity metrics.

Main Results:

• A decreasing proportion of newly discovered reaction types relative to all reactions performed.
• Increasing complexity of newly discovered chemistries, enabling faster scaffold construction.
• Demonstration of the utility of trend analysis for machine learning and database curation.

Conclusions:

• Synthetic chemistry is becoming more reliant on known reactions due to slower discovery rates.
• Understanding these trends is crucial for advancing computer-assisted synthesis and machine learning in chemistry.
• The methodology aids in identifying and correcting erroneous entries in reaction databases.