Understanding false positives in reporter gene assays: in silico chemogenomics approaches to prioritize cell-based HTS data.
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Imaging flow cytometry: coping with heterogeneity in biological systemsProteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small moleculesCell-Based Assay Design for High-Content Screening of Drug CandidatesTranslating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)Protein reporter bioassay systems for the phenotypic screening of candidate drugs: a mouse platform for anti-aging drug screeningColloid formation by drugs in simulated intestinal fluid.Apparent activity in high-throughput screening: origins of compound-dependent assay interferenceToward better drug repositioning: prioritizing and integrating existing methods into efficient pipelines.Exploiting PubChem for Virtual Screening.Evaluation of a luciferase-based reporter assay as a screen for inhibitors of estrogen-ERα-induced proliferation of breast cancer cells.Non-stoichiometric inhibition in integrated lead finding - a literature review.Drug repositioning for personalized medicine.Open Source Bayesian Models. 3. Composite Models for Prediction of Binned ResponsesActivation of Yap-Directed Transcription by Knockdown of Conserved Cellular Functions.Colloidal aggregation causes inhibition of G protein-coupled receptors.Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.
P2860
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P2860
Understanding false positives in reporter gene assays: in silico chemogenomics approaches to prioritize cell-based HTS data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Understanding false positives ...... rioritize cell-based HTS data.
@ast
Understanding false positives ...... rioritize cell-based HTS data.
@en
type
label
Understanding false positives ...... rioritize cell-based HTS data.
@ast
Understanding false positives ...... rioritize cell-based HTS data.
@en
prefLabel
Understanding false positives ...... rioritize cell-based HTS data.
@ast
Understanding false positives ...... rioritize cell-based HTS data.
@en
P2093
P356
P1476
Understanding false positives ...... rioritize cell-based HTS data.
@en
P2093
Christian N Parker
James H Nettles
Jeremy L Jenkins
John W Davies
Josef Scheiber
Mathis Thoma
Meir Glick
Richard Kim
Zhao Bin Kang
P304
P356
10.1021/CI6005504
P577
2007-07-04T00:00:00Z