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Structure-Activity Relationships and Drug Design

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...

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Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

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Structure-Activity Relationship Analysis of Macrocyclic Peptide RAS Inhibitors: Spotlight on the Solvent-Exposed

Aya Chiyoda¹, Atsushi Matsuo¹, Takashi Yamano¹

¹Research Division, Chugai Pharmaceutical Co. Ltd., 216, Totsuka-cho, Totsuka-ku, Yokohama, Kanagawa 244-8602, Japan.

ACS Medicinal Chemistry Letters

|June 17, 2026

Summary

Optimizing larger peptide drugs like LUNA18 requires understanding how side chain modifications affect activity. Local structural context, not just the modification itself, dictates the impact of amino acid changes in macrocyclic peptide drug design.

Keywords:

KRAS inhibitor LUNA18 macrocyclic peptide mid-size molecule orally bioavailable peptide

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Published on: December 30, 2016

Area of Science:

Medicinal Chemistry
Structural Biology
Drug Discovery

Background:

Optimizing large peptide ligands necessitates strategic structural modifications due to numerous modifiable atoms.
Structure-activity relationship (SAR) analysis is crucial for guiding the development of complex peptide therapeutics.

Purpose of the Study:

To investigate the structure-activity relationship (SAR) of LUNA18, an 11-mer macrocyclic peptide RAS inhibitor.
To determine the impact of amino acid side chain modifications at position 5 on LUNA18's inhibitory activity.

Main Methods:

Performed SAR analysis on LUNA18, focusing on solvent-exposed amino acid side chains at position 5.
Conducted structural analysis to identify key structural features influencing the effect of position 5 modifications.

Main Results:

The contribution of position 5 to inhibitory activity is dependent on the local structural environment.
Peptides with a "cavity" structure and a hydrophobic interaction network (positions 1, 8, 9) showed minimal changes upon position 5 modification.
Peptides with a "groove" structure, lacking this network, exhibited significant differences after position 5 modification.

Conclusions:

Practical guidelines for optimizing macrocyclic peptides: assess solvent-exposed side chain contributions and interpret SARs considering proximal side chain interactions.
Understanding local structural context is key for effective optimization of macrocyclic peptide inhibitors.