The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Structure-Based Strategies for Drug Design and Discovery
Abstract
Most drugs have been discovered in random screens or by exploiting information about macromolecular receptors. One source of this information is in the structures of critical proteins and nucleic acids. The structure-based approach to design couples this information with specialized computer programs to propose novel enzyme inhibitors and other therapeutic agents. Iterated design cycles have produced compounds now in clinical trials. The combination of molecular structure determination and computation is emerging as an important tool for drug development. These ideas will be applied to acquired immunodeficiency syndrome (AIDS) and bacterial drug resistance.
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Cites
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Cited by
UCSF Chimera—A visualization system for exploratory research and analysis
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Virtual screening of chemical libraries
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Principles of docking: An overview of search algorithms and a guide to scoring functions
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Metadata
- Authors
- Kuntz, I. D.
- Venue
- Science
- Published
- 1992-08-21
- Volume
- 257
- Issue
- 5073
- Pages
- 1078-1082
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1985953075
- Cited by
- 989
- References
- 80
- FWCI
- 42.81
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.