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Updated: May 31, 2026

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
Published on: October 15, 2018
Conserved core substructures in the overlay of protein-ligand complexes
Barry C Finzel1, Ramprasad Akavaram, Aravind Ragipindi
1Department of Medicinal Chemistry, University of Minnesota College of Pharmacy, Minneapolis, Minnesota 55455, USA. finze007@umn.edu
Conserved Core Substructure Matching (CSM) accurately aligns protein-ligand complexes by focusing on structural similarity, not sequence. This method enhances drug design by improving ligand positioning and reducing alignment errors.
Area of Science:
- Structural Biology
- Computational Chemistry
- Drug Discovery
Background:
- Protein-ligand complex alignment is crucial for structure-based drug design.
- Existing overlay methods can suffer from inaccuracies in ligand positioning.
- Identifying conserved binding sites across diverse protein families remains challenging.
Purpose of the Study:
- To introduce and validate the Conserved Core Substructure Matching (CSM) method for aligning protein-ligand complexes.
- To demonstrate CSM's ability to optimize ligand positioning within binding sites.
- To facilitate the analysis of large datasets of protein-ligand interactions.
Main Methods:
- Utilizes distance geometry to align structurally similar core substructures.
- Employs empirically selected reference proteins capturing binding site determinants.
- Applies CSM to reorient ensembles, reducing positional error compared to other methods.
Main Results:
- CSM significantly reduces errors in ligand positioning in reoriented ensembles.
- The method rarely misaligns structures due to its reliance on geometric conservation.
- A database of core substructures and a web interface were developed to support CSM application.
Conclusions:
- CSM provides a reliable method for overlaying large numbers of protein-ligand complexes.
- The approach is effective for optimizing ligand placement at specific binding sites.
- CSM aids in aligning structures across diverse protein families, benefiting structure-based drug design.
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