Building a common feature hypothesis for thymidylate synthase inhibition

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Enzyme Inhibition

Background:

• Thymidylate synthase (TS) is a crucial enzyme in DNA synthesis and a target for anticancer drugs.
• A diverse set of 21 flexible TS inhibitors with a broad activity range (IC50: 6 nM–100 µM) was selected for study.

Purpose of the Study:

• To investigate the common interaction features of flexible competitive thymidylate synthase inhibitors.
• To develop a three-dimensional quantitative structure-activity relationship (3D-QSAR) model for TS inhibitors.
• To identify structural characteristics important for designing potent TS inhibitors.

Main Methods:

• Utilized the CATALYST software to generate 3D quantitative structure-activity relationship (3D-QSAR) hypotheses.
• Analyzed a dataset of 21 flexible competitive thymidylate synthase inhibitors.
• Validated the generated hypotheses using external molecules not included in the training set.

Main Results:

• Generated and verified 3D-QSAR hypotheses describing common interaction features among the inhibitors.
• Identified key pharmacophoric elements and spatial arrangements contributing to thymidylate synthase inhibition.
• Established a structure-activity relationship for a series of flexible TS inhibitors.

Conclusions:

• The 3D-QSAR approach successfully elucidated common interaction patterns for flexible TS inhibitors.
• The findings provide valuable insights for the rational design of novel and improved thymidylate synthase inhibitors.
• This study contributes to the development of targeted therapies by understanding enzyme-inhibitor interactions.