| Title |
An “All-In-One” Pharmacophoric Architecture for the Discovery of Potential Broad-Spectrum Anti-Flavivirus Drugs
|
|---|---|
| Published in |
Applied Biochemistry and Biotechnology, January 2018
|
| DOI | 10.1007/s12010-017-2690-2 |
| Pubmed ID | |
| Authors |
Nomagugu B. Ncube, Pritika Ramharack, Mahmoud E. S. Soliman |
| Abstract |
A precipitous increase in the number of flaviviral infections has been noted over the last 5 years. Despite these outbreaks, treatment protocols for infected individuals remain ambiguous. Numerous studies have identified NITD008 as a potent flavivirus inhibitor; however, clinical testing was dismissed due to undesirable toxic effects. The binding landscape of NITD008 in complex with five detrimental flaviviruses at the RNA-dependent RNA polymerase active sites was explored. An "all-in-one" pharmacophore model was created for the design of small molecules that may inhibit a broad spectrum of flaviviruses. This pharmacophore model approach serves as a robust cornerstone, thus assisting medicinal experts in the composition of multifunctional inhibitors that will eliminate cross-resistance and toxicity and enhance patient adherence. |
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 % |
|---|---|---|
| Unknown | 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Student > Master | 5 | 17% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 30% |
| Chemistry | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 10 | 33% |
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 20 January 2018.
All research outputs
#20,459,801
of 23,016,919 outputs
Outputs from Applied Biochemistry and Biotechnology
#2,056
of 2,529 outputs
Outputs of similar age
#378,767
of 441,922 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#10
of 15 outputs
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