| Title |
Next-generation antimicrobials: from chemical biology to first-in-class drugs
|
|---|---|
| Published in |
Archives of Pharmacal Research, August 2015
|
| DOI | 10.1007/s12272-015-0645-0 |
| Pubmed ID | |
| Authors |
Michelle Lay Teng Ang, Paul Murima, Kevin Pethe |
| Abstract |
The global emergence of multi-drug resistant bacteria invokes an urgent and imperative necessity for the identification of novel antimicrobials. The general lack of success in progressing novel chemical entities from target-based drug screens have prompted calls for radical and innovative approaches for drug discovery. Recent developments in chemical biology and target deconvolution strategies have revived interests in the utilization of whole-cell phenotypic screens and resulted in several success stories for the discovery and development novel drug candidates and target pathways. In this review, we present and discuss recent chemical biology approaches focusing on the discovery of novel targets and new lead molecules for the treatment of human bacterial and protozoan infections. |
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 % |
|---|---|---|
| United Kingdom | 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 61 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 22% |
| Researcher | 13 | 20% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 4 | 6% |
| Lecturer | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 20% |
| Chemistry | 12 | 18% |
| Immunology and Microbiology | 7 | 11% |
| Medicine and Dentistry | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 17 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 June 2016.
All research outputs
#18,464,797
of 22,879,161 outputs
Outputs from Archives of Pharmacal Research
#1,045
of 1,296 outputs
Outputs of similar age
#190,477
of 264,486 outputs
Outputs of similar age from Archives of Pharmacal Research
#14
of 21 outputs
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So far Altmetric has tracked 1,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.