| 000 | 01542 a2200445 4500 | ||
|---|---|---|---|
| 005 | 20250518051925.0 | ||
| 264 | 0 | _c20191220 | |
| 008 | 201912s 0 0 eng d | ||
| 022 | _a1422-0067 | ||
| 024 | 7 |
_a10.3390/ijms20143572 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aWei, Yu | |
| 245 | 0 | 0 |
_aTargeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method. _h[electronic resource] |
| 260 |
_bInternational journal of molecular sciences _cJul 2019 |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 |
_aAnti-HIV Agents _xchemistry |
| 650 | 0 | 4 |
_aAntiviral Agents _xchemistry |
| 650 | 0 | 4 | _aBayes Theorem |
| 650 | 0 | 4 | _aDatabases, Pharmaceutical |
| 650 | 0 | 4 | _aDrug Discovery |
| 650 | 0 | 4 |
_aHIV Infections _xdrug therapy |
| 650 | 0 | 4 |
_aHIV-1 _xdrug effects |
| 650 | 0 | 4 |
_aHepacivirus _xdrug effects |
| 650 | 0 | 4 |
_aHepatitis C _xdrug therapy |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aModels, Molecular |
| 650 | 0 | 4 | _aMolecular Conformation |
| 650 | 0 | 4 | _aMolecular Structure |
| 650 | 0 | 4 | _aPolypharmacology |
| 650 | 0 | 4 | _aProtein Binding |
| 650 | 0 | 4 | _aQuantitative Structure-Activity Relationship |
| 700 | 1 | _aLi, Wei | |
| 700 | 1 | _aDu, Tengfei | |
| 700 | 1 | _aHong, Zhangyong | |
| 700 | 1 | _aLin, Jianping | |
| 773 | 0 |
_tInternational journal of molecular sciences _gvol. 20 _gno. 14 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.3390/ijms20143572 _zAvailable from publisher's website |
| 999 |
_c29931280 _d29931280 |
||