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

Polyunsaturated fatty acids (PUFAs) are signaling molecules exhibiting diverse bioactivities. Due to their flexible nature, PUFAs can theoretically adopt an enormous number of conformations, and it is not easy to identify the biologically active conformation(s), so rational drug design targeting the corresponding receptors is difficult. Here, we established a method to characterize conformational similarity by combining the replica exchange molecular dynamics simulation with the 3-dimensional WHIM (Weighted Holistic Invariant Molecular) descriptor. Using this method, we explored the total conformational space of 6 PUFAs and identified their conformational preferences for binding to known proteins. We found that upon binding, a specific cluster of conformers from the solution state is populated, which can be termed as bioactive conformations. By comparing the dynamics of synthetic modulators with those of PUFAs, we found that these compounds can be regarded as rigid mimics of the bioactive conformations of PUFAs, though this perspective has not been previously described. This approach is expected to be helpful in designing new bioactive molecules.

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Journal
Chemical and Pharmaceutical Bulletin
Published
2025-10-24
DOI
https://doi.org/10.1248/cpb.c25-00429
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Tomohiko Ohwada, Luying Chen, Mian Wu
Chemical and Pharmaceutical Bulletin
Computational Drug Discovery Methods
article

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

Tomohiko Ohwada, Luying Chen, Mian Wu
article en

Abstract

Polyunsaturated fatty acids (PUFAs) are signaling molecules exhibiting diverse bioactivities. Due to their flexible nature, PUFAs can theoretically adopt an enormous number of conformations, and it is not easy to identify the biologically active conformation(s), so rational drug design targeting the corresponding receptors is difficult. Here, we established a method to characterize conformational similarity by combining the replica exchange molecular dynamics simulation with the 3-dimensional WHIM (Weighted Holistic Invariant Molecular) descriptor. Using this method, we explored the total conformational space of 6 PUFAs and identified their conformational preferences for binding to known proteins. We found that upon binding, a specific cluster of conformers from the solution state is populated, which can be termed as bioactive conformations. By comparing the dynamics of synthetic modulators with those of PUFAs, we found that these compounds can be regarded as rigid mimics of the bioactive conformations of PUFAs, though this perspective has not been previously described. This approach is expected to be helpful in designing new bioactive molecules.

Chemical and Pharmaceutical BulletinVol. 73(10)
Niigata University of Pharmacy and Medical and Life Sciences (JP), Southern Medical University (CN), The University of Tokyo (JP)
Cosmetology Research Foundation, Japan Society for the Promotion of Science
Openalex Percentile: Top 68%
Computational Drug Discovery Methods
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Identifying Bioactive Conformations of Flexible Polyunsaturated Fatty Acids for Ligand-Based Drug Design — Tomohiko Ohwada, Luying Chen, et al. · Chemical and Pharmaceutical Bulletin (2025) | TGRS Research Map | TGRS