| Title |
Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions
|
|---|---|
| Published in |
Beni-Suef University Journal of Basic and Applied Sciences, August 2022
|
| DOI | 10.1186/s43088-022-00280-6 |
| Pubmed ID | |
| Authors |
Mustapha Abdullahi, Adamu Uzairu, Gideon Adamu Shallangwa, Paul Andrew Mamza, Muhammad Tukur Ibrahim |
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Researcher | 2 | 13% |
| Lecturer | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Chemistry | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Social Sciences | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |