| 000 | 01137 a2200301 4500 | ||
|---|---|---|---|
| 005 | 20250515194401.0 | ||
| 264 | 0 | _c20100226 | |
| 008 | 201002s 0 0 eng d | ||
| 022 | _a1549-960X | ||
| 024 | 7 |
_a10.1021/ci900308u _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aOyarzabal, Julen | |
| 245 | 0 | 0 |
_aOptimizing the performance of in silico ADMET general models according to local requirements: MARS approach. solubility estimations as case study. _h[electronic resource] |
| 260 |
_bJournal of chemical information and modeling _cDec 2009 |
||
| 300 |
_a2837-50 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAbsorption |
| 650 | 0 | 4 |
_aComputational Biology _xmethods |
| 650 | 0 | 4 | _aDrug Discovery |
| 650 | 0 | 4 | _aHigh-Throughput Screening Assays |
| 650 | 0 | 4 | _aMonte Carlo Method |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 | _aSolubility |
| 700 | 1 | _aPastor, Joaquin | |
| 700 | 1 | _aHowe, Trevor J | |
| 773 | 0 |
_tJournal of chemical information and modeling _gvol. 49 _gno. 12 _gp. 2837-50 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1021/ci900308u _zAvailable from publisher's website |
| 999 |
_c19304916 _d19304916 |
||