From the manual method of Topliss to a modified quantitative method

Area of Science:

• Medicinal Chemistry
• Computational Chemistry

Background:

• Lead compound optimization is crucial in pre-clinical research.
• Synthesis of analogous compounds can minimize cost and time.
• The Topliss method aids in predicting active substituted aromatic analogues.

Purpose of the Study:

• To propose a modified Topliss method for predicting compound activity.
• To establish a quantitative correlation between activity and molecular descriptors.
• To guide future synthesis and experimental design in drug discovery.

Main Methods:

• Quantitative correlation using a single regression equation.
• Utilizing descriptor parameters: hydrophobic (π), electronic (σ), and sterics (Es, MR).
• Comparison with multiple regression analysis using the Hansch equation.

Main Results:

• The modified Topliss method effectively predicts the activity of substituted aromatic compounds.
• Satisfactory results were achieved when compared to the Hansch equation.
• The method provides a training set for advanced experimental design.

Conclusions:

• The modified Topliss method is a valuable tool for optimizing lead compounds.
• This approach enhances the efficiency of drug discovery and development.
• It facilitates informed decisions in synthetic chemistry and experimental planning.