Computational  toxicology  is  a  systematic  approach  that  can  model  a  contaminant's effect  on  gene expression;   that  is,  how  the  contaminant  exposure   will  affect   cellular  behavior   and    signalling, including   protein    synthesis  i.e., proteomics  and   metabolic changes   can be looked in   applications   of    metabolites   in   tissues   and    bio fluids i.e.,   metabolomics. These   advances   were   impossible  without   the  emergence   of   bioinformatics    and   computational    chemistry    and   the   opportunities   they  provide for transforming  data   into  information.  In  specific,   computational   toxicology   would  produce   risk assessments   on  basis   of  specific   molecular   changes   rather   than   just   the   number  of   tumors, deaths,  and  over  the   clinical   changes  are  noticed  in   test  animals.




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