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Updated: Aug 5, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Exploiting NMR Ensemble Heterogeneity Enables Small Molecule Discovery against Dynamic Protein-Protein Interfaces
Hossam Nada1, Sungwoo Cho1, Ashraf N Abdo1
1Department of Radiology, Molecular Imaging Innovations Institute (MI3), Weill Cornell Medicine, New York, New York 10065, United States.
This study introduces AtlasNMR, a novel framework for drug discovery targeting dynamic protein interactions. It enabled the identification of MC-3, a small molecule that disrupts neuronal nitric oxide synthase interactions and shows neuroprotective effects.
Area of Science:
- Biochemistry
- Structural Biology
- Neuroscience
Background:
- Protein-protein interactions involving flexible domains are challenging to target with drugs.
- Static protein structures often miss crucial ligand-binding conformations.
Purpose of the Study:
- To develop a method for small molecule discovery against dynamic protein interfaces using NMR data.
- To identify modulators of the neuronal nitric oxide synthase (nNOS) PDZ domain interaction with CAPON.
Main Methods:
- AtlasNMR framework to generate conformational hypotheses from NMR ensembles.
- Ensemble-based virtual screening and consensus ranking.
- In vitro and cellular assays to validate small molecule efficacy.
Main Results:
- AtlasNMR identified two key conformational states of the nNOS PDZ domain.
- The identified small molecule MC-3 effectively disrupts the NOS1-NOS1AP interaction.
- MC-3 demonstrated neuroprotective effects in disease models, reducing cytotoxicity and nitrosative stress.
Conclusions:
- AtlasNMR provides a generalizable strategy for drug discovery against dynamic protein interfaces.
- MC-3 represents a promising lead compound for neurological disorders.
- Exploiting NMR ensemble heterogeneity is key for targeting challenging protein interactions.
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