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The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Large-Scale Systematic Analysis of 2D Fingerprint Methods and Parameters to Improve Virtual Screening Enrichments

Sastry, Madhavi, Lowrie, Jeffrey F., Dixon, Steven L., Sherman, Woody·2010·Journal of Chemical Information and Modeling

Abstract

A systematic virtual screening study on 11 pharmaceutically relevant targets has been conducted to investigate the interrelation between 8 two-dimensional (2D) fingerprinting methods, 13 atom-typing schemes, 13 bit scaling rules, and 12 similarity metrics using the new cheminformatics package Canvas. In total, 157 872 virtual screens were performed to assess the ability of each combination of parameters to identify actives in a database screen. In general, fingerprint methods, such as MOLPRINT2D, Radial, and Dendritic that encode information about local environment beyond simple linear paths outperformed other fingerprint methods. Atom-typing schemes with more specific information, such as Daylight, Mol2, and Carhart were generally superior to more generic atom-typing schemes. Enrichment factors across all targets were improved considerably with the best settings, although no single set of parameters performed optimally on all targets. The size of the addressable bit space for the fingerprints was also explored, and it was found to have a substantial impact on enrichments. Small bit spaces, such as 1024, resulted in many collisions and in a significant degradation in enrichments compared to larger bit spaces that avoid collisions.

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Metadata

Authors
Sastry, M., Lowrie, J. F., Dixon, S. L., & Sherman, W.
Venue
Journal of Chemical Information and Modeling
Published
2010-05-07
Volume
50
Issue
5
Pages
771-784
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W1974880836
Cited by
332
References
40
FWCI
18.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Large-Scale Systematic Analysis of 2D Fingerprint Methods and Parameters to Improve Virtual Screening Enrichments. https://app.cochat.ai/papers/10.1021/ci100062n
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Sastry, M., Lowrie, J. F., Dixon, S. L., & Sherman, W. (2010). Large-Scale Systematic Analysis of 2D Fingerprint Methods and Parameters to Improve Virtual Screening Enrichments. Journal of Chemical Information and Modeling. https://doi.org/10.1021/ci100062n

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