Sentence examples for library of substances from inspiring English sources

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From such a short analysis, one can conclude that in the presented case, morgan fingerprints yields the best results (R2 = 0.99) in classifying active molecules in the benchmarking sets taken from DUD-E (Figure 4). Figure 4 Workflow to assess the performance of using specific fingerprints for distinguishing actives from a library of substances.

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Phase I of ToxCast employed a chemical library of 320 substances (U.S. EPA 2008a).

The enrichment factor of 30 determined from biological testing of 824 compounds prioritized from a library of ∼450,000 substances demonstrates the predictive power of the method.

A total of 1,382 compounds with positive allosteric modulation (PAM) of the mGluR5 glutamate response were identified through high-throughput screening (HTS) of a diverse library of 144,475 substances utilizing a functional assay measuring receptor-induced intracellular release of calcium.

Through virtual screening by Glide, 170 fragments were selected from a fragment based library of 3,200 substances on the basis of their average internal rank towards the ATP-binding site of five crystal structures of four kinases of different types and one chaperone (MST3, Hsp90, JNK3, PKA, and VEGFR).

The chromatograph breaks up chemicals into their components and the spectrometer identifies them by comparing them to libraries of known substances.

The chromatograph breaks up chemicals into their components, and the spectrometer identifies them by comparing them to libraries of known substances.

Additionally, the comparison of the results from the library indicates the presence of substances homologous in 54.22% to paromomycin sulfate, a compound that is a derivative of the aminoglycoside antibiotics in the ex-LMS isolated from C. unicolor.

He and I are in the small library of Center Point, a substance-abuse treatment facility in San Rafael, Calif., about half an hour north of San Francisco, where he is enrolled in a six-month residential program.

The comparison of the FT-IR spectrum for c-EPL with the library data indicates the presence of substances with 46.68% homology to dihydroxystreptomycin, a derivative of aminoglycoside antibiotics.

Using the framework we present here, predictive models for arbitrary mixtures can be automatically generated on the basis of a library of models for individual substances.

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