AllChem: generating and searching 10(20) synthetically accessible structures.

Area of Science:

• Computational Chemistry
• Medicinal Chemistry
• Drug Discovery

Background:

• Vast chemical space exploration is crucial for identifying novel drug candidates.
• Current methods for designing and synthesizing potential drug molecules are often limited in scope and efficiency.

Purpose of the Study:

• To introduce AllChem, a system designed for the practical generation and searching of approximately 10(20) synthetically accessible and medicinally relevant structures.
• To enhance the decision-making process in lead discovery and optimization by integrating synthetic route information and design rationale.

Main Methods:

• Development of a computational system (AllChem) for chemical structure generation.
• Integration of synthetic accessibility assessment and medicinal relevance criteria.
• Inclusion of synthetic route prediction and cost-benefit analysis functionalities.

Main Results:

• The AllChem system enables the exploration of an unprecedentedly large chemical space.
• It provides synthetic chemists with practical tools to evaluate potential drug candidates based on synthetic feasibility and medicinal relevance.
• The system facilitates a simultaneous consideration of costs and benefits during the drug design process.

Conclusions:

• AllChem represents a significant advancement in computational drug discovery, offering a powerful platform for exploring vast chemical diversity.
• The system's ability to provide synthetic insights and economic considerations promises to streamline the drug discovery and optimization workflow for synthetic chemists.