Abstract
In lead discovery, libraries of 10(6) molecules are screened for biological activity. Given the over 10(60) drug-like molecules thought possible, such screens might never succeed. The fact that they do, even occasionally, implies a biased selection of library molecules. We have developed a method to quantify the bias in screening libraries toward biogenic molecules. With this approach, we consider what is missing from screening libraries and how they can be optimized.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, Non-U.S. Gov't
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Biological Products / chemistry*
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Databases, Factual*
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Drug Discovery* / statistics & numerical data
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Molecular Structure
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Proteins / chemistry*
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Selection Bias
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Small Molecule Libraries / chemistry*
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Structure-Activity Relationship
Substances
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Biological Products
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Proteins
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Small Molecule Libraries
Associated data
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PubChem-Substance/58097293
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PubChem-Substance/58097294
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PubChem-Substance/58097295
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PubChem-Substance/58097296
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PubChem-Substance/58097297
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PubChem-Substance/58097298
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PubChem-Substance/58097299
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PubChem-Substance/58097300
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PubChem-Substance/58097301
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PubChem-Substance/58097302
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PubChem-Substance/58097303
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PubChem-Substance/58097304
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PubChem-Substance/58097334