Persistent　organic　pollutants　(POPs)　cause　various　diseases　in　both　human　and　wildlife　and　have　become　a　new　global　environmental　problem.　The　toxic　effects　of　POPs　can　be　induced　through　their　binding　to　specific　proteins　in　the　body.　In　the　present　work,　a　reverse　virtual　screening　method　based　on　molecular　docking　was　used　to　search　for　potential　protein　targets　for　two　POPs,　4,4＇-dichlorodiphenyldichloroethane　(4,　4＇-DDD)　and　2,2＇,4,4＇,5,5＇-hexachlorobiphenyl　(CB-153),　from　a　protein　structure　database.　Targets　ranked　in　the　top　5%　were　chosen　for　analysis　using　experimental　information.　All　known　targets　appeared　in　the　top　5%　of　targets.　This　study　not　only　increases　understanding　of　the　toxic　mechanism　of　POPs,　but　may　also　aid　the　design　of　novel　recognition　elements　in　biosensors.