960 well-characterized compounds from the prestwick chemical known bioactives library Search Results


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Prestwick Chemical 960 well-characterized compounds from the prestwick chemical known bioactives library
960 Well Characterized Compounds From The Prestwick Chemical Known Bioactives Library, supplied by Prestwick Chemical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biomol GmbH bioactive
Details for the compound collections used in this study. Library preparation and standardization is described elsewhere. 18
Bioactive, supplied by Biomol GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Selleck Chemicals fda-approved compounds
Details for the compound collections used in this study. Library preparation and standardization is described elsewhere. 18
Fda Approved Compounds, supplied by Selleck Chemicals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Details for the compound collections used in this study. Library preparation and standardization is described elsewhere. 18

Journal:

Article Title: A Road Less Traveled By: Exploring a Decade of Ellman Chemistry

doi: 10.1016/j.bmc.2008.02.087

Figure Lengend Snippet: Details for the compound collections used in this study. Library preparation and standardization is described elsewhere. 18

Article Snippet: Based upon our previous work, 16 the current analysis was biased towards biologically relevant chemical space by employing a reference set including known drugs and five exemplar screening collections: Bioactive (molecules with well-characterized biologically activities), Natural Products (NP, compounds extracted and purified from organisms), Fragment (compounds designed primarily for structure-based screening), Rule of Five (RO5, the bulk of commercially-available screening collections designed for compliance with Lipinski’s Rule of Five 17 ) and Diversity-Oriented Synthesis (DOS, natural product-like compounds designed to incorporate novel chemotypes with high complexity 5 ) (see ). table ft1 table-wrap mode="anchored" t5 caption a7 Library Unique Compounds Sources Drugs 8,152 CMC, DrugBank, MDDR Bioactive 4,501 Biomol, LOPAC (Sigma), Microsource, Prestwick Chemical Library, Tocris Diversity-Oriented Synthesis (DOS) 15,060 Porco_A 19 , Porco_B 20 , Schreiber 21 , Shair_A 22 , Shair_B 23 Fragments 32,220 ACD “Rule of 3” compliant 24 , Enamine, Life Chemicals, Maybridge Natural Products (NP) 3,267 Ambinter, Biomol, Interbio, Microsource, NIH MLSMR, NCI, Specs, TimTec Rule of Five (RO5) 2,133,796 Asinex, ChemDiv, ChemBridge, Enamine, Life Chemicals, Maybridge, Specs, Ellman 53,535 Tripos Dragoli (26), Boojamra (2,508), Maly (3,515), Souers (5,589), Wood (2,016), Haque (566), Patterson (11), Xu (39,304) Open in a separate window Details for the compound collections used in this study.

Techniques:

Radar plots based on 11 commonly used molecular descriptors calculated from the chemical libraries in Table 1. Each radius of the 11-sided polygon represents the full range of a single descriptor over all compounds in the study. The 1st and 99th percentiles of descriptor values attained by a particular library are plotted on each spoke; the bounds of the enclosed colored areas are formed by connecting points between adjacent spokes. Plotted descriptors include molecular weight [mw], number of hydrogen-bond donors [hdon], number of hydrogen-bond acceptors [hacc], predicted log(octanol/water partition coefficient) [logP], predicted log(aqueous solubility) [logS], polar surface area in χ2 [psa], minimum and maximum partial charged-based GCUT [gcut0 and gcut3], Oprea complexity [oprea], and two graph theory based shape descriptors [kier1 and chi1v]. The Drugs, Bioactive, NP, RO5, and DOS libraries are included for reference. Markush structures define the contents of each Ellman library. The “All Ellman” plot aggregates the eight Ellman libraries by weighting each component’s contribution equally.

Journal:

Article Title: A Road Less Traveled By: Exploring a Decade of Ellman Chemistry

doi: 10.1016/j.bmc.2008.02.087

Figure Lengend Snippet: Radar plots based on 11 commonly used molecular descriptors calculated from the chemical libraries in Table 1. Each radius of the 11-sided polygon represents the full range of a single descriptor over all compounds in the study. The 1st and 99th percentiles of descriptor values attained by a particular library are plotted on each spoke; the bounds of the enclosed colored areas are formed by connecting points between adjacent spokes. Plotted descriptors include molecular weight [mw], number of hydrogen-bond donors [hdon], number of hydrogen-bond acceptors [hacc], predicted log(octanol/water partition coefficient) [logP], predicted log(aqueous solubility) [logS], polar surface area in χ2 [psa], minimum and maximum partial charged-based GCUT [gcut0 and gcut3], Oprea complexity [oprea], and two graph theory based shape descriptors [kier1 and chi1v]. The Drugs, Bioactive, NP, RO5, and DOS libraries are included for reference. Markush structures define the contents of each Ellman library. The “All Ellman” plot aggregates the eight Ellman libraries by weighting each component’s contribution equally.

Article Snippet: Based upon our previous work, 16 the current analysis was biased towards biologically relevant chemical space by employing a reference set including known drugs and five exemplar screening collections: Bioactive (molecules with well-characterized biologically activities), Natural Products (NP, compounds extracted and purified from organisms), Fragment (compounds designed primarily for structure-based screening), Rule of Five (RO5, the bulk of commercially-available screening collections designed for compliance with Lipinski’s Rule of Five 17 ) and Diversity-Oriented Synthesis (DOS, natural product-like compounds designed to incorporate novel chemotypes with high complexity 5 ) (see ). table ft1 table-wrap mode="anchored" t5 caption a7 Library Unique Compounds Sources Drugs 8,152 CMC, DrugBank, MDDR Bioactive 4,501 Biomol, LOPAC (Sigma), Microsource, Prestwick Chemical Library, Tocris Diversity-Oriented Synthesis (DOS) 15,060 Porco_A 19 , Porco_B 20 , Schreiber 21 , Shair_A 22 , Shair_B 23 Fragments 32,220 ACD “Rule of 3” compliant 24 , Enamine, Life Chemicals, Maybridge Natural Products (NP) 3,267 Ambinter, Biomol, Interbio, Microsource, NIH MLSMR, NCI, Specs, TimTec Rule of Five (RO5) 2,133,796 Asinex, ChemDiv, ChemBridge, Enamine, Life Chemicals, Maybridge, Specs, Ellman 53,535 Tripos Dragoli (26), Boojamra (2,508), Maly (3,515), Souers (5,589), Wood (2,016), Haque (566), Patterson (11), Xu (39,304) Open in a separate window Details for the compound collections used in this study.

Techniques: Molecular Weight, Solubility

Plot of the Ellman libraries (points colored identically to Figure 1) within a chemical space described by the first two principal components (PCs) derived from the 11 commonly used descriptors calculated from the Drugs and exemplar libraries. The two PCs account for 82.7% of the total variance in the reference set (63.8% and 18.9% in the first and second PCs, respectively). The first PC is dominated by gcut3, followed by gcut0, hdon, hacc, and −logS. The second PC is largely comprised of gcut0, then gcut3, −hdon, and logP. A maximum 200 molecules per Ellman library is plotted. The Drugs, Bioactive, NP, Fragment, RO5, and DOS libraries are included for reference, and are depicted as colored contour lines enclosing 98% of each population. The chemical structure and PC coordinate for a representative from each Ellman library is also included.

Journal:

Article Title: A Road Less Traveled By: Exploring a Decade of Ellman Chemistry

doi: 10.1016/j.bmc.2008.02.087

Figure Lengend Snippet: Plot of the Ellman libraries (points colored identically to Figure 1) within a chemical space described by the first two principal components (PCs) derived from the 11 commonly used descriptors calculated from the Drugs and exemplar libraries. The two PCs account for 82.7% of the total variance in the reference set (63.8% and 18.9% in the first and second PCs, respectively). The first PC is dominated by gcut3, followed by gcut0, hdon, hacc, and −logS. The second PC is largely comprised of gcut0, then gcut3, −hdon, and logP. A maximum 200 molecules per Ellman library is plotted. The Drugs, Bioactive, NP, Fragment, RO5, and DOS libraries are included for reference, and are depicted as colored contour lines enclosing 98% of each population. The chemical structure and PC coordinate for a representative from each Ellman library is also included.

Article Snippet: Based upon our previous work, 16 the current analysis was biased towards biologically relevant chemical space by employing a reference set including known drugs and five exemplar screening collections: Bioactive (molecules with well-characterized biologically activities), Natural Products (NP, compounds extracted and purified from organisms), Fragment (compounds designed primarily for structure-based screening), Rule of Five (RO5, the bulk of commercially-available screening collections designed for compliance with Lipinski’s Rule of Five 17 ) and Diversity-Oriented Synthesis (DOS, natural product-like compounds designed to incorporate novel chemotypes with high complexity 5 ) (see ). table ft1 table-wrap mode="anchored" t5 caption a7 Library Unique Compounds Sources Drugs 8,152 CMC, DrugBank, MDDR Bioactive 4,501 Biomol, LOPAC (Sigma), Microsource, Prestwick Chemical Library, Tocris Diversity-Oriented Synthesis (DOS) 15,060 Porco_A 19 , Porco_B 20 , Schreiber 21 , Shair_A 22 , Shair_B 23 Fragments 32,220 ACD “Rule of 3” compliant 24 , Enamine, Life Chemicals, Maybridge Natural Products (NP) 3,267 Ambinter, Biomol, Interbio, Microsource, NIH MLSMR, NCI, Specs, TimTec Rule of Five (RO5) 2,133,796 Asinex, ChemDiv, ChemBridge, Enamine, Life Chemicals, Maybridge, Specs, Ellman 53,535 Tripos Dragoli (26), Boojamra (2,508), Maly (3,515), Souers (5,589), Wood (2,016), Haque (566), Patterson (11), Xu (39,304) Open in a separate window Details for the compound collections used in this study.

Techniques: Derivative Assay