Predict activity based on <UL><li> a learning set and<LI>a set of previous obtained MDF SAR models for<li>any molecule submitted as HIN file by the user.</UL><BR>
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© November 2005, <A HREf='http://lori.academicdirect.org' Target='_blank' Style='color:#f6f1b0;'>Lorentz JÄNTSCHI</A>
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Learning set: 
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<option value='22583'>22583<option value='23110'>23110<option value='23151'>23151<option value='23158'>23158<option value='23159'>23159<option value='23167'>23167<option value='26449t'>26449t<option value='36638'>36638<option value='40846_1'>40846_1<option value='40846_2'>40846_2<option value='40846_4'>40846_4<option value='41521'>41521<option value='52344'>52344<option value='52730'>52730<option value='Dipeptides'>Dipeptides<option value='IChr10'>IChr10<option value='MR10'>MR10<option value='PCB_lkow'>PCB_lkow<option value='PCB_rrf'>PCB_rrf<option value='PCB_rrt'>PCB_rrt<option value='RRC443_'>RRC443_<option value='Ta395'>Ta395<option value='Tox395'>Tox395<option value='Triazines'>Triazines</select>
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