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Journal of Molecular Recognition
Article
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Journal of Molecular Recognition
Article . 2009 . Peer-reviewed
License: Wiley Online Library User Agreement
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Library screening by fragment‐based docking

Authors: Huang, Danzhi; Caflisch, Amedeo;

Library screening by fragment‐based docking

Abstract

AbstractWe review our computational tools for high‐throughput screening by fragment‐based docking of large collections of small molecules. Applications to six different enzymes, four proteases, and two protein kinases, are presented. Remarkably, several low‐micromolar inhibitors were discovered in each of the high‐throughput docking campaigns. Probable reasons for the lack of submicromolar inhibitors are the tiny fraction of chemical space covered by the libraries of available compounds, as well as the approximations in the methods employed for scoring, and the use of a rigid conformation of the target protein. Copyright © 2009 John Wiley & Sons, Ltd.

Country
Switzerland
Keywords

Models, Molecular, Protein Conformation, Receptor, EphB4, Protozoan Proteins, Viral Nonstructural Proteins, Cathepsin B, DEAD-box RNA Helicases, 1315 Structural Biology, Peptide Library, Structural Biology, 10019 Department of Biochemistry, 1312 Molecular Biology, Humans, Enzyme Inhibitors, Molecular Biology, Molecular Structure, Viral Proteases, Cyclin-Dependent Kinase 2, Serine Endopeptidases, Nucleoside-Triphosphatase, Peptide Fragments, Enzymes, High-Throughput Screening Assays, 570 Life sciences; biology, Amyloid Precursor Protein Secretases, RNA Helicases

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
Green
hybrid