Avoiding Missed Opportunities by Analyzing the Sensitivity of Our Decisions

Area of Science:

• Medicinal Chemistry
• Drug Discovery
• Computational Chemistry

Background:

• Drug discovery involves optimizing compounds against multiple property criteria for therapeutic success.
• Project decisions can be overly sensitive to specific criteria, potentially distorting research direction.
• Uncertainty in criterion values or importance can lead to missed opportunities in drug development.

Purpose of the Study:

• To develop and present a method for analyzing the sensitivity of compound prioritization to multiparameter property criteria.
• To provide easily interpretable results from this sensitivity analysis.
• To demonstrate how this analysis can reveal new research directions in drug discovery.

Main Methods:

• Sensitivity analysis of compound prioritization based on a multiparameter property profile.
• Development of an interpretable method for presenting sensitivity analysis results.
• Application of the method to illustrate its utility in identifying new exploration avenues.

Main Results:

• The sensitivity analysis method effectively quantifies the impact of property criteria on compound prioritization.
• Results are presented in an easily interpretable format.
• The analysis successfully highlighted previously unrecognized opportunities for exploration.

Conclusions:

• Sensitivity analysis is crucial for robust decision-making in multiparameter drug discovery.
• This method enhances the understanding of how property criteria influence project progression.
• The approach facilitates more informed exploration of chemical space and potential drug candidates.