| 000 | 01229 a2200325 4500 | ||
|---|---|---|---|
| 005 | 20250516181911.0 | ||
| 264 | 0 | _c20150220 | |
| 008 | 201502s 0 0 eng d | ||
| 022 | _a1873-4286 | ||
| 024 | 7 |
_a10.2174/1381612819666131118164023 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aFu, Li M | |
| 245 | 0 | 0 |
_aMachine learning and tubercular drug target recognition. _h[electronic resource] |
| 260 |
_bCurrent pharmaceutical design _c2014 |
||
| 300 |
_a4307-18 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Review | ||
| 650 | 0 | 4 |
_aAntitubercular Agents _xchemistry |
| 650 | 0 | 4 | _aArtificial Intelligence |
| 650 | 0 | 4 | _aComputational Biology |
| 650 | 0 | 4 | _aDatabases, Genetic |
| 650 | 0 | 4 |
_aDrug Discovery _xmethods |
| 650 | 0 | 4 |
_aDrug Resistance, Multiple, Bacterial _xgenetics |
| 650 | 0 | 4 | _aGenes, Bacterial |
| 650 | 0 | 4 | _aGenome, Bacterial |
| 650 | 0 | 4 |
_aMycobacterium tuberculosis _xdrug effects |
| 650 | 0 | 4 |
_aPattern Recognition, Automated _xmethods |
| 650 | 0 | 4 | _aQuantitative Structure-Activity Relationship |
| 773 | 0 |
_tCurrent pharmaceutical design _gvol. 20 _gno. 27 _gp. 4307-18 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.2174/1381612819666131118164023 _zAvailable from publisher's website |
| 999 |
_c23279071 _d23279071 |
||