| 000 | 01081 a2200301 4500 | ||
|---|---|---|---|
| 005 | 20250518090031.0 | ||
| 264 | 0 | _c20210617 | |
| 008 | 202106s 0 0 eng d | ||
| 022 | _a1549-960X | ||
| 024 | 7 |
_a10.1021/acs.jcim.9b01185 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aYuan, Jui-Hung | |
| 245 | 0 | 0 |
_aDruggability Assessment in TRAPP Using Machine Learning Approaches. _h[electronic resource] |
| 260 |
_bJournal of chemical information and modeling _c03 2020 |
||
| 300 |
_a1685-1699 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aBinding Sites |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aProtein Binding |
| 650 | 0 | 4 | _aProtein Conformation |
| 650 | 0 | 4 |
_aProteins _xmetabolism |
| 700 | 1 | _aHan, Sungho Bosco | |
| 700 | 1 | _aRichter, Stefan | |
| 700 | 1 | _aWade, Rebecca C | |
| 700 | 1 | _aKokh, Daria B | |
| 773 | 0 |
_tJournal of chemical information and modeling _gvol. 60 _gno. 3 _gp. 1685-1699 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1021/acs.jcim.9b01185 _zAvailable from publisher's website |
| 999 |
_c30680003 _d30680003 |
||