| Title |
Hybrid Approach for Predicting Coreceptor Used by HIV-1 from Its V3 Loop Amino Acid Sequence
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0061437 |
| Pubmed ID | |
| Authors |
Ravi Kumar, Gajendra P. S. Raghava |
| Abstract |
HIV-1 infects the host cell by interacting with the primary receptor CD4 and a coreceptor CCR5 or CXCR4. Maraviroc, a CCR5 antagonist binds to CCR5 receptor. Thus, it is important to identify the coreceptor used by the HIV strains dominating in the patient. In past, a number of experimental assays and in-silico techniques have been developed for predicting the coreceptor tropism. The prediction accuracy of these methods is excellent when predicting CCR5(R5) tropic sequences but is relatively poor for CXCR4(X4) tropic sequences. Therefore, any new method for accurate determination of coreceptor usage would be of paramount importance to the successful management of HIV-infected individuals. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 33 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 7 | 19% |
| Student > Master | 7 | 19% |
| Student > Bachelor | 3 | 8% |
| Professor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 25% |
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Medicine and Dentistry | 6 | 17% |
| Chemical Engineering | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |