000 01368 a2200385 4500
005 20250515183654.0
264 0 _c20091211
008 200912s 0 0 eng d
022 _a1549-960X
024 7 _a10.1021/ci900161g
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aHansen, Katja
245 0 0 _aBenchmark data set for in silico prediction of Ames mutagenicity.
_h[electronic resource]
260 _bJournal of chemical information and modeling
_cSep 2009
300 _a2077-81 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aArtificial Intelligence
650 0 4 _aBenchmarking
650 0 4 _aComputational Biology
650 0 4 _aDatabases, Factual
650 0 4 _aMutagenicity Tests
_xmethods
650 0 4 _aMutagens
_xchemistry
650 0 4 _aNormal Distribution
650 0 4 _aSalmonella typhimurium
_xdrug effects
650 0 4 _aStructure-Activity Relationship
700 1 _aMika, Sebastian
700 1 _aSchroeter, Timon
700 1 _aSutter, Andreas
700 1 _ater Laak, Antonius
700 1 _aSteger-Hartmann, Thomas
700 1 _aHeinrich, Nikolaus
700 1 _aMüller, Klaus-Robert
773 0 _tJournal of chemical information and modeling
_gvol. 49
_gno. 9
_gp. 2077-81
856 4 0 _uhttps://doi.org/10.1021/ci900161g
_zAvailable from publisher's website
999 _c19104268
_d19104268