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Updated: Apr 18, 2026

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes
Published on: January 10, 2017
Molecular recognition in chemical and biological systems
Elke Persch1, Oliver Dumele, François Diederich
1Laboratorium für Organische Chemie, Departement Chemie und Angewandte Biowissenschaften, ETH Zürich, Vladimir-Prelog-Weg 3, 8093 Zürich (Switzerland).
Structure-based ligand design uses weak noncovalent interactions and water dynamics to create new drugs and crop protection agents. Understanding molecular recognition and employing advanced techniques are key for effective lead optimization.
Area of Science:
- Medicinal Chemistry
- Structural Biology
- Computational Chemistry
Background:
- Structure-based ligand design is crucial for drug discovery and crop protection.
- Identifying and quantifying weak noncovalent interactions and the role of water are essential.
- Biological receptor sites exhibit diverse characteristics influencing ligand design strategies.
Purpose of the Study:
- To elucidate the energetics of water replacement by ligands in biological receptor sites.
- To highlight the importance of weak noncovalent interactions in molecular recognition.
- To showcase innovative lead optimization strategies using novel interactions.
Main Methods:
- Utilizing small-molecule and protein structural database searches.
- Employing thermodynamic profiling and X-ray crystallography.
- Conducting computational studies and synthetic/biological complexation studies.
Main Results:
- Demonstrated that weak noncovalent interactions, including dipole-dipole interactions, orthogonal interactions, halogen bonding, and amide-π stacking, are vital for molecular recognition.
- Showcased diverse ligand-design strategies tailored to varying receptor site properties.
- Established the critical role of water energetics in ligand binding.
Conclusions:
- Accurate assessment of weak noncovalent interactions and water's role is fundamental for successful structure-based ligand design.
- Innovative strategies involving novel interactions can significantly enhance lead optimization.
- A combined approach of synthetic models and biological studies is necessary for reliable data.
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