The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Molecular Recognition in Chemical and Biological Systems
Abstract
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.
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Cites
Yung-Chi, C., & Prusoff, W. H. (1973) · Biochemical Pharmacology · doi:10.1016/0006-2952(73)90196-2 · Cited by 12,922
The influence of drug-like concepts on decision-making in medicinal chemistry
Leeson, P. D., & Springthorpe, B. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2445 · Cited by 2,403
Water as an active constituent in cell biology
Ball, P. (2008) · Chemical Reviews · doi:10.1021/cr068037a · Cited by 2,177
Definition of the halogen bond (IUPAC Recommendations 2013).
Desiraju, G. R., Ho, P. S., Kloo, L., Legon, A. C., Marquardt, R., Metrangolo, P., Politzer, P., Resnati, G., & Rissanen, K. (2013) · Pure and Applied Chemistry · doi:10.1351/pac-rec-12-05-10 · Cited by 1,957
Rohmer, M., & Rohmer, M. (1999) · Natural Product Reports · doi:10.1039/a709175c · Cited by 1,193
Molecular Signals of Epigenetic States
Bonasio, R., Tu, S., & Reinberg, D. (2010) · Science · doi:10.1126/science.1191078 · Cited by 912
Entropy-Enthalpy Compensation: Role and Ramifications in Biomolecular Ligand Recognition and Design
Chodera, J. D., & Mobley, D. L. (2013) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-083012-130318 · Cited by 531
The Non-mevalonate Pathway of Isoprenoid Precursor Biosynthesis
Hunter, W. N. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.r700005200 · Cited by 352
Protein kinase inhibitors in the treatment of inflammatory and autoimmune diseases
Patterson, H., Nibbs, R., McInnes, I., & Siebert, S. (2014) · Clinical and Experimental Immunology · doi:10.1111/cei.12248 · Cited by 199
Cited by
Bioisosteres of the Phenyl Ring: Recent Strategic Applications in Lead Optimization and Drug Design
Subbaiah, M. A. M., & Meanwell, N. A. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01215 · Cited by 710
Experimental Binding Energies in Supramolecular Complexes
Biedermann, F., & Schneider, H.-J. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00583 · Cited by 554
Metadata
- Authors
- Persch, E., Dumele, O., & Diederich, F.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2015-01-28
- Volume
- 54
- Issue
- 11
- Pages
- 3290-3327
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2002433816
- Cited by
- 654
- References
- 9
- FWCI
- 46.23
- Type
- journal article
- Language
- en
- Open access
- closed
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