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Attention Score in Context
| Title |
Advanced Activity-Based Protein Profiling Application Strategies for Drug Development
|
|---|---|
| Published in |
Frontiers in Pharmacology, April 2018
|
| DOI | 10.3389/fphar.2018.00353 |
| Pubmed ID | |
| Authors |
Shan Wang, Yu Tian, Min Wang, Min Wang, Gui-bo Sun, Xiao-bo Sun |
| Abstract |
Drug targets and modes of action remain two of the biggest challenges in drug development. To address these problems, chemical proteomic approaches have been introduced to profile targets in complex proteomes. Activity-based protein profiling (ABPP) is one of a growing number chemical proteomic approaches that uses small-molecule chemical probes to understand the interaction mechanisms between compounds and targets. ABPP can be used to identify the protein targets of small molecules and even the active sites of target proteins. This review focuses on the overall workflow of the ABPP technology and on additional advanced strategies for target identification and/or drug discovery. Herein, we mainly describe the design strategies for small-molecule probes and discuss the ways in which these probes can be used to identify targets and even validate the interactions of small molecules with targets. In addition, we discuss some basic strategies that have been developed to date, such as click chemistry-ABPP, competitive strategies and, recently, more advanced strategies, including isoTOP-ABPP, fluoPol-ABPP, and qNIRF-ABPP. The isoTOP-ABPP strategy has been coupled with quantitative proteomics to identify the active sites of proteins and explore whole proteomes with specific amino acid profiling. FluoPol-ABPP combined with HTS can be used to discover new compounds for some substrate-free enzymes. The qNIRF-ABPP strategy has a number of applications for in vivo imaging. In this review, we will further discuss the applications of these advanced strategies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 222 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 22% |
| Researcher | 29 | 13% |
| Student > Bachelor | 28 | 13% |
| Student > Master | 25 | 11% |
| Student > Doctoral Student | 9 | 4% |
| Other | 17 | 8% |
| Unknown | 66 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 66 | 30% |
| Biochemistry, Genetics and Molecular Biology | 38 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 17 | 8% |
| Agricultural and Biological Sciences | 15 | 7% |
| Neuroscience | 5 | 2% |
| Other | 11 | 5% |
| Unknown | 70 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 March 2022.
All research outputs
#4,716,310
of 23,243,271 outputs
Outputs from Frontiers in Pharmacology
#2,049
of 16,677 outputs
Outputs of similar age
#91,493
of 329,701 outputs
Outputs of similar age from Frontiers in Pharmacology
#67
of 398 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,677 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 87% 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 329,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.