You will be presented a sentence from biomedical research text. Extract all terms that correspond to chemical entities of biological interest (ChEBI).
Return your identified terms in a JSON array, formatted like this: ["Entity1", "Entity2", ...].
If no such entities are detected, respond by providing an empty JSON array [].

Biomedical context:
TheGenBank((http://www.ncbi.nlm.nih.gov/Genbank)accessionnumbersforthegenesandgeneproductsdiscussedinthispaperareApc(NM_007462),beta-catenin(NM_007614),AXIN2(NM_004655),plakoglobin(NM_002230),Asef(NM_015320),kinesinsuperfamily-associatedprotein3(NM_014970),EB1(NM_012325),humanhomologofDrosophilaDiscslarge(U13897),Lef1(NM_010703),Dkk1(NM_010051),K1(NM_008473),K5(NM_027011),K6(NM_008476),K8(NM_031170),K14(NM_016958),involucrin(NM_008412),loricrin(NM_008508),andShh(NM_009170).
["protein"]