Identifying Bioactive Conformations of Flexible Polyunsaturated Fatty Acids for Ligand-Based Drug Design

Area of Science:

• Biochemistry
• Computational Chemistry
• Pharmacology

Background:

• Polyunsaturated fatty acids (PUFAs) are vital signaling molecules with diverse biological activities.
• The conformational flexibility of PUFAs complicates the identification of biologically active forms, hindering rational drug design.
• Understanding PUFA conformations is crucial for developing targeted therapeutics.

Purpose of the Study:

• To establish a computational method for characterizing conformational similarity of PUFAs.
• To explore the conformational landscape of PUFAs and identify bioactive conformations relevant for protein binding.
• To provide a framework for designing novel therapeutic agents based on PUFA structures.

Main Methods:

• Combined replica exchange molecular dynamics (REMD) simulations with 3D WHIM (Weighted Holistic Invariant Molecular) descriptors.
• Analyzed the conformational space of six different PUFAs.
• Compared dynamics of synthetic modulators with identified PUFA bioactive conformations.

Main Results:

• Identified specific clusters of PUFA conformers populated upon protein binding, termed bioactive conformations.
• Demonstrated that synthetic modulators can act as rigid mimics of these bioactive PUFA conformations.
• Validated a novel computational approach for characterizing conformational similarity.

Conclusions:

• The developed method effectively characterizes PUFA conformational similarity and identifies bioactive conformations.
• Synthetic compounds can be rationally designed as rigid mimics of PUFA bioactive conformations.
• This approach offers a promising strategy for the development of new drugs targeting PUFA-mediated pathways.