Phenols　represent　one　of　the　most　important　classes　of　environmental　chemicals.　Most　of　them　may　cause　serious　public　health　and　environmental　problems.　The　present　work　is　to　develop　an　effective　QSTR　model　for　acute　toxicity,　a　toxicological　endpoint　of　Phenols.　We　calculated　various　descriptors　and　used　linear　regression　way　to　select　relevant　parameters,　and　built　a　QSTR　model.　The　model　showed　a　good　forecasting　ability.　Based　on　the　descriptors,　a　further　discussion　was　presented　for　the　toxic　mechanism.