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Why do we need so many chemical similarity search methods?
Abstract
Computational tools to search chemical structure databases are essential to finding leads early in a drug discovery project. Similarity methods are among the most diverse and most useful. We will present some lessons we have gathered over many years experience with in-house methods on several therapeutic problems. The effectiveness of any similarity method can vary greatly from one biological activity to another in a way that is difficult to predict. Also, any two methods tend to select different subsets of actives from a database, so it is advisable to use several search methods where possible.
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Metadata
- Authors
- Sheridan, R.
- Affiliations
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Corresponding author
- Sheridan, R
- ORCID
- Sheridan, R
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2002-09-01
- Volume
- 7
- Issue
- 17
- Pages
- 903-911
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2125253492
- Cited by
- 412
- References
- 56
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 8 · 2023: 10 · 2022: 8 · 2021: 10 · 2020: 12 · 2019: 12 · 2018: 18 · 2017: 20 · 2016: 8 · 2015: 12 · 2014: 20 · 2013: 21 · 2012: 31
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Drug Discovery Today (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Physical Sciences › Chemistry › Organic Chemistry › Synthesis and Characterization of Heterocyclic Compounds
- Social Sciences › Arts and Humanities › History and Philosophy of Science › History and advancements in chemistry
- Keywords
- structure-activity relationship, chemical databases, lead compound identification, similarity method, bioactivity prediction, drug discovery
- MeSH terms
- Decision Support Techniques, Drug Evaluation, Preclinical, Humans, Molecular Conformation, Drug Design, Molecular Structure, Quantitative Structure-Activity Relationship
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