The　time　performance　of　ant　colony　clustering　seriously　restricts　its　application　for　functional　module.　A　fast　ant　colony　clustering　for　functional　module　detection　(FACC-FMD)　algorithm,　which　considerably　speeded　up　the　original　ACC-FMD　algorithm　was　developed.　The　similarity　between　each　protein　and　core　protein　group　was　computed　by　the　FACC-FMD,　then　clustered　by　the　pick-up　and　drop-down　model.　The　similarity　between　the　functional　modules　by　clustering　was　small.　Thus　FACC-FMD　eliminated　the　need　for　the　merge　operation　and　filter　operation　in　ant　colony　cluster,　and　shorten　the　running　time.　At　the　same　time,　the　essential　of　protein　was　computed　and　was　used　to　constraint　the　times　of　pick-up　and　drop-down.　Experiments　on　multiple　PPI　networks　show　that　the　FACC-FMD　algorithm　can　greatly　improve　the　time　performance　of　ant　colony　clustering　for　functional　module　detection　with　satisfactory　quality.　Moreover,　compared　with　classical　algorithms　in　recent　years,　the　FACC-FMD　also　has　advantages　in　performance　indicators.　©　2016,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.