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Molecular Recognition in Chemical and Biological Systems
Structure‐based ligand design in medicinal chemistry and crop protection relies on the identification and quantification of weak noncovalent interactions and understanding the role of water. Small‐molecule and protein structural database searches are important tools to retrieve existing knowledge. T...
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Published in: | Angewandte Chemie International Edition 2015-03, Vol.54 (11), p.3290-3327 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Structure‐based ligand design in medicinal chemistry and crop protection relies on the identification and quantification of weak noncovalent interactions and understanding the role of water. Small‐molecule and protein structural database searches are important tools to retrieve existing knowledge. Thermodynamic profiling, combined with X‐ray structural and computational studies, is the key to elucidate the energetics of the replacement of water by ligands. Biological receptor sites vary greatly in shape, conformational dynamics, and polarity, and require different ligand‐design strategies, as shown for various case studies. Interactions between dipoles have become a central theme of molecular recognition. Orthogonal interactions, halogen bonding, and amide⋅⋅⋅π stacking provide new tools for innovative lead optimization. The combination of synthetic models and biological complexation studies is required to gather reliable information on weak noncovalent interactions and the role of water.
Both are required: Chemical model systems and the study of biological receptors are both required to understand molecular recognition processes. The identification and quantification of noncovalent interactions and deciphering the role of water are key elements for structure‐based drug design. Several case studies are presented in which weak intermolecular interactions were applied to innovative ligand design and optimization. |
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ISSN: | 1433-7851 1521-3773 |
DOI: | 10.1002/anie.201408487 |