An empirical process for the design of high-throughput screening deck filters.
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A reliable computational workflow for the selection of optimal screening librariesRational methods for the selection of diverse screening compoundsThe ChEMBL database in 2017Computational prediction and validation of an expert's evaluation of chemical probesQuantitative analyses of aggregation, autofluorescence, and reactivity artifacts in a screen for inhibitors of a thiol proteaseHigh-throughput identification of promiscuous inhibitors from screening libraries with the use of a thiol-containing fluorescent probeLessons learnt from assembling screening libraries for drug discovery for neglected diseases.FAF-Drugs2: free ADME/tox filtering tool to assist drug discovery and chemical biology projects.Analysis and hit filtering of a very large library of compounds screened against Mycobacterium tuberculosis.Development of a Novel Screening Strategy Designed to Discover a New Class of HIV Drugs.Antitubercular specific activity of ibuprofen and the other 2-arylpropanoic acids using the HT-SPOTi whole-cell phenotypic assay.Identification of small molecules that selectively inhibit diacylglycerol lipase-α activity.Identification of Small-Molecule Frequent Hitters from AlphaScreen High-Throughput Screens.FAF-Drugs3: a web server for compound property calculation and chemical library design.Post-HTS case report and structural alert: Promiscuous 4-aroyl-1,5-disubstituted-3-hydroxy-2H-pyrrol-2-one actives verified by ALARM NMR.Quality Issues with Public Domain Chemogenomics Data.Prioritization of anti-malarial hits from nature: chemo-informatic profiling of natural products with in vitro antiplasmodial activities and currently registered anti-malarial drugs.Identification of Small-Molecule Frequent Hitters of Glutathione S-Transferase-Glutathione Interaction.Seven Year Itch: Pan-Assay Interference Compounds (PAINS) in 2017-Utility and Limitations.Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) DatabaseIn Silico ADME/Tox Predictions
P2860
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P2860
An empirical process for the design of high-throughput screening deck filters.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մայիսին հրատարակուած գիտական յօդուած
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2006 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2006年の論文
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2006年論文
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2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
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name
An empirical process for the design of high-throughput screening deck filters.
@ast
An empirical process for the design of high-throughput screening deck filters.
@en
type
label
An empirical process for the design of high-throughput screening deck filters.
@ast
An empirical process for the design of high-throughput screening deck filters.
@en
prefLabel
An empirical process for the design of high-throughput screening deck filters.
@ast
An empirical process for the design of high-throughput screening deck filters.
@en
P2093
P356
P1476
An empirical process for the design of high-throughput screening deck filters
@en
P2093
Andrew C Good
Bradley C Pearce
David A Stock
Michael J Sofia
P304
P356
10.1021/CI050504M
P577
2006-05-01T00:00:00Z