AT5G13000.2
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Subcellular Consensus
(Prediction and Experimental) min:  :max.
SUBAcon:mitochondrion 0.999 What is SUBAcon? |
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| Experimental Localisations and PPI |
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SUBAcon links
AGI-AGI relationships |
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| Description (TAIR10) | protein_coding : glucan synthase-like 12 | ||||||||||||||||||||||||||||||||||||||||
| Curator Summary (TAIR10) |
encodes a gene similar to callose synthase | ||||||||||||||||||||||||||||||||||||||||
| Computational Description (TAIR10) |
glucan synthase-like 12 (GSL12); FUNCTIONS IN: transferase activity, transferring glycosyl groups, 1,3-beta-glucan synthase activity; INVOLVED IN: 1,3-beta-glucan biosynthetic process; LOCATED IN: 1,3-beta-glucan synthase complex; EXPRESSED IN: 23 plant structures; EXPRESSED DURING: 13 growth stages; CONTAINS InterPro DOMAIN/s: Glycosyl transferase, family 48 (InterPro:IPR003440), Protein of unknown function DUF605 (InterPro:IPR006745); BEST Arabidopsis thaliana protein match is: callose synthase 1 (TAIR:AT1G05570.1); Has 1373 Blast hits to 1031 proteins in 173 species: Archae - 0; Bacteria - 0; Metazoa - 71; Fungi - 677; Plants - 549; Viruses - 0; Other Eukaryotes - 76 (source: NCBI BLink). | ||||||||||||||||||||||||||||||||||||||||
| Protein Annotations |
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| Coordinates (TAIR10) | chr5:-:4110445..4121202 | ||||||||||||||||||||||||||||||||||||||||
| Molecular Weight (calculated) | 221545.00 Da | ||||||||||||||||||||||||||||||||||||||||
| IEP (calculated) | 9.21 | ||||||||||||||||||||||||||||||||||||||||
| GRAVY (calculated) | -0.10 | ||||||||||||||||||||||||||||||||||||||||
| Length | 1914 amino acids | ||||||||||||||||||||||||||||||||||||||||
| Sequence (TAIR10) (BLAST) |
0001: MSATRGGPDQ GPSQPQQRRI IRTQTAGNLG ESFDSEVVPS SLVEIAPILR VANEVESSNP RVAYLCRFYA FEKAHRLDPT SSGRGVRQFK TALLQRLERE 0101: HDPTLMGRVK KSDAREMQSF YQHYYKKYIQ ALHNAADKAD RAQLTKAYQT ANVLFEVLKA VNLTQSIEVD REILEAQDKV AEKTQLYVPY NILPLDPDSA 0201: NQAIMRYPEI QAAVLALRNT RGLPWPEGHK KKKDEDMLDW LQEMFGFQKD NVANQREHLI LLLANVHIRQ FPKPDQQPKL DDQALTEVMK KLFKNYKKWC 0301: KYLGRKSSLW LPTIQQEMQQ RKLLYMALYL LIWGEAANLR FMPECLCYIY HHMAFELYGM LAGNVSPMTG ENVKPAYGGE EDAFLRKVVT PIYEVIQMEA 0401: QRSKKGKSKH SQWRNYDDLN EYFWSVDCFR LGWPMRADAD FFCLPVAVPN TEKDGDNSKP IVARDRWVGK VNFVEIRSFW HVFRSFDRMW SFYILCLQAM 0501: IIMAWDGGQP SSVFGADVFK KVLSVFITAA IMKLGQAVLD VILNFKAHQS MTLHVKLRYI LKVFSAAAWV IILPVTYAYS WKDPPAFART IKSWFGSAMH 0601: SPSLFIIAVV SYLSPNMLAG VMFLFPLLRR FLERSNYRIV MLMMWWSQPR LYVGRGMHES AFSLFKYTMF WVLLIATKLA FSYYIEIRPL VAPTQAIMKA 0701: RVTNFQWHEF FPRAKNNIGV VIALWAPIIL VYFMDSQIWY AIFSTLFGGI YGAFRRLGEI RTLGMLRSRF ESLPGAFNDR LIPDGKNQQK KKGIRATLSH 0801: NFTEDKVPVN KEKEAARFAQ LWNTIISSFR EEDLISDREM DLLLVPYWAD RDLDLIQWPP FLLASKIPIA LDMAKDSNGK DRELKKRIES DTYMKCAVRE 0901: CYASFKNIIK FVVQGNREKE VIEIIFAEVD KHIDTGDLIQ EYKMSALPSL YDHFVKLIKY LLDNKEEDRD HVVILFQDML EVVTRDIMME DYNISSLVDS 1001: SHGGTWHGGM IPLEQQYQLF ASSGAIRFPI EPVTEAWKEK IKRIYLLLTT KESAMDVPSN LEARRRISFF SNSLFMDMPM APKVRNMLSF SVLTPYYTEE 1101: VLFSLRDLET PNEDGVSILF YLQKIFPDEW NNFLERVKCL SEEELKESDE LEEELRLWAS YRGQTLTRTG MMYYRKALEL QAFLDMAMHE DLMEGYKAVE 1201: LNSENNSRGE RSLWAQCQAV ADMKFTYVVS CQQYGIHKRS GDPRAQDILR LMTRYPSLRV AYIDEVEEPV KDKSKKGNQK VYYSVLVIYR IRLPGPAILG 1301: EGKPENQNHA IIFSRGEGLQ TIDMNQDNYM EEALKMRNLL QEFLTKHDGV RHPSILGLRE HIFTGSVSSL AWFMSNQETS FVTIGQRLLA NPLRVRFHYG 1401: HPDVFDRLFH LTRGGVSKAS KVINLSEDIF AGFNSTLREG NVTHHEYIQV GKGRDVGLNQ ISMFEAKIAN GNGEQTLSRD IYRLGHRFDF FRMMSCYFTT 1501: VGFYFSTLIT VLTVYIFLYG RLYLVLSGLE QGLSTQKGIR DNTPLQIALA SQSFVQIGFL MALPMLMEIG LERGFRTALS EFVLMQLQLA PVFFTFSLGT 1601: KTHYYGRTLL HGGAKYRSTG RGFVVFHAKF ADNYRLYSRS HFVKGLEMML LLVVYQIFGS AYRGVLAYLL ITISMWFMVG TWLFAPFLFN PSGFEWQKIV 1701: DDWTDWNKWI NNIGGIGVPA EKSWESWWEE EQEHLRYSGK RGIVVEILLA LRFFIYQYGL VYHLTITEKT KNFLVYGVSW LVIFLIFFLL FGLIFMTFIA 1801: IIVILITLAH MTIQDIIVCI LAFMPTGWGM LLIAQACKPV VHRAGFWGSV RTLARGYEIV MGLLLFTPVA FLAWFPFVSE FQTRMLFNQA FSRGLQISRI 1901: LGGHRKDRSS RNKE |
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| See Also |
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Citation
If you find this resource useful please cite one of the following publications:
Hooper CM, Castleden I, Tanz SK, Aryamanesh, and Millar, AH (2017) SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations Nucleic Acids Res. Jan 4;45(D1):D1064-D1074. doi: 10.1093/nar/gkw1041 (PubMed)
Hooper CM, Tanz SK, Castleden IR, Vacher MA, Small ID, Millar AH (2014) "SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome. Bioinformatics." 1;30(23):3356-64. (Bioinformatics) (PubMed)