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Chemical Biology

Overview of attention for book
Cover of 'Chemical Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Identification of therapeutic small-molecule leads in cultured cells using multiplexed pathway reporter readouts.
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    Chapter 2 Applying the logic of genetic interaction to discover small molecules that functionally interact with human disease alleles.
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    Chapter 3 Construction and application of a photo-cross-linked chemical array.
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    Chapter 4 High Content Screening for Modulators of Cardiac Differentiation in Human Pluripotent Stem Cells.
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    Chapter 5 Small-Molecule High-Throughput Screening Utilizing Xenopus Egg Extract.
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    Chapter 6 Fission Yeast-Based High-Throughput Screens for PKA Pathway Inhibitors and Activators.
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    Chapter 7 A Method for High-Throughput Analysis of Chronological Aging in Schizosaccharomyces pombe.
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    Chapter 8 Protocols for the Routine Screening of Drug Sensitivity in the Human Parasite Trichomonas vaginalis
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    Chapter 9 Chemical Genetic Screens Using Arabidopsis thaliana Seedlings Grown on Solid Medium
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    Chapter 10 Small-Molecule Screening Using Drosophila Models of Human Neurological Disorders.
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    Chapter 11 High-Throughput Small-Molecule Screening in Caenorhabditis elegans.
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    Chapter 12 Whole-Organism Screening for Modulators of Fasting Metabolism Using Transgenic Zebrafish
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    Chapter 13 High Content Screening for Modulators of Cardiovascular or Global Developmental Pathways in Zebrafish
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    Chapter 14 Extraction Methods of Natural Products from Traditional Chinese Medicines
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    Chapter 15 Bioassay-Guided Identification of Bioactive Molecules from Traditional Chinese Medicines
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    Chapter 16 NMR screening in fragment-based drug design: a practical guide.
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    Chapter 17 Practical Strategies for Small-Molecule Probe Development in Chemical Biology
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    Chapter 18 Principal component analysis as a tool for library design: a case study investigating natural products, brand-name drugs, natural product-like libraries, and drug-like libraries.
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    Chapter 19 Small-Molecule Library Screening by Docking with PyRx.
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    Chapter 20 Fluorous Photoaffinity Labeling to Probe Protein-Small Molecule Interactions
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    Chapter 21 Identification of the Targets of Biologically Active Small Molecules Using Quantitative Proteomics.
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    Chapter 22 Drug Affinity Responsive Target Stability (DARTS) for Small-Molecule Target Identification.
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    Chapter 23 Chemical Genomic Profiling via Barcode Sequencing to Predict Compound Mode of Action.
  25. Altmetric Badge
    Chapter 24 Image-Based Prediction of Drug Target in Yeast.
Attention for Chapter 23: Chemical Genomic Profiling via Barcode Sequencing to Predict Compound Mode of Action.
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  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Chapter title
Chemical Genomic Profiling via Barcode Sequencing to Predict Compound Mode of Action.
Chapter number 23
Book title
Chemical Biology
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2269-7_23
Pubmed ID
Book ISBNs
978-1-4939-2268-0, 978-1-4939-2269-7
Authors

Jeff S Piotrowski, Scott W Simpkins, Sheena C Li, Raamesh Deshpande, Sean J McIlwain, Irene M Ong, Chad L Myers, Charlie Boone, Raymond J Andersen, Jeff S. Piotrowski, Scott W. Simpkins, Sheena C. Li, Sean J. McIlwain, Irene M. Ong, Chad L. Myers, Raymond J. Andersen

Abstract

Chemical genomics is an unbiased, whole-cell approach to characterizing novel compounds to determine mode of action and cellular target. Our version of this technique is built upon barcoded deletion mutants of Saccharomyces cerevisiae and has been adapted to a high-throughput methodology using next-generation sequencing. Here we describe the steps to generate a chemical genomic profile from a compound of interest, and how to use this information to predict molecular mechanism and targets of bioactive compounds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Indonesia 1 2%
Italy 1 2%
Unknown 54 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 29%
Student > Ph. D. Student 9 16%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Postgraduate 4 7%
Other 13 22%
Unknown 6 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 31%
Agricultural and Biological Sciences 16 28%
Computer Science 4 7%
Chemistry 4 7%
Immunology and Microbiology 3 5%
Other 4 7%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2015.
All research outputs
#14,191,062
of 23,198,445 outputs
Outputs from Methods in molecular biology
#4,009
of 13,301 outputs
Outputs of similar age
#183,495
of 354,966 outputs
Outputs of similar age from Methods in molecular biology
#255
of 1,002 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,301 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,002 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.