Subcellular Localization
min:
: max
Winner_takes_all: plasma membrane, plastid, cytosol
Predictor Summary:
Predictor Summary:
- cytosol 2
- mitochondrion 2
- plastid 1
- plasma membrane 1
| Predictors | GFP | MS/MS | Papers |
|---|---|---|---|
PPI
No PPI Data
Homology
Paralog
| locus | Identity | Homology Identity |
|---|
Ortholog
| locus | Homology Species | Location | Identity | Homology Identity |
|---|---|---|---|---|
| AT3G11130.1 | Thale cress | cytosol, plasma membrane | 97.71 | 97.6 |
| Solyc06g051310.2.1 | Tomato | nucleus | 92.13 | 92.24 |
| Solyc05g052510.2.1 | Tomato | nucleus, plastid | 92.25 | 92.09 |
| KRG97711 | Soybean | endoplasmic reticulum, nucleus | 91.78 | 91.94 |
| KRH14933 | Soybean | nucleus | 91.78 | 91.94 |
| KRH31163 | Soybean | endoplasmic reticulum | 91.66 | 91.82 |
| KRH73205 | Soybean | nucleus | 91.9 | 91.68 |
| Solyc03g096000.2.1 | Tomato | nucleus | 90.9 | 90.95 |
| KXG22761 | Sorghum | plastid | 90.6 | 90.23 |
| EES07849 | Sorghum | plastid | 90.55 | 90.23 |
| TraesCS5D01G158800.1 | Wheat | plastid | 89.78 | 89.52 |
| TraesCS5A01G153500.1 | Wheat | golgi, unclear | 89.72 | 89.46 |
| TraesCS5B01G152300.1 | Wheat | unclear | 89.72 | 89.46 |
| TraesCS4A01G182300.1 | Wheat | extracellular, golgi | 89.9 | 89.27 |
| TraesCS4D01G130900.1 | Wheat | golgi, unclear | 89.78 | 89.15 |
| TraesCS4B01G136100.2 | Wheat | golgi, unclear | 89.72 | 88.22 |
| Os12t0104766-00 | Rice | plasma membrane | 29.71 | 87.54 |
| Os11t0104900-00 | Rice | plasma membrane | 35.82 | 87.27 |
| Os11t0104866-00 | Rice | plasma membrane | 29.59 | 87.2 |
| HORVU4Hr1G024710.4 | Barley | plastid | 89.72 | 85.79 |
| HORVU5Hr1G048010.1 | Barley | plastid | 89.49 | 84.53 |
| Zm00001d021067_P001 | Maize | cytosol, mitochondrion | 18.67 | 71.78 |
| Os12t0104800-01 | Rice | cytosol | 4.93 | 68.85 |
| VIT_03s0017g00210.t01 | Wine grape | cytosol, extracellular | 2.06 | 66.04 |
| VIT_16s0115g00130.t01 | Wine grape | cytosol | 4.17 | 61.21 |
| VIT_19s0027g01340.t01 | Wine grape | cytosol | 8.51 | 47.23 |
Protein Annotations
| Gene3D:1.25.40.10 | Gene3D:1.25.40.730 | Gene3D:2.130.10.110 | MapMan:22.1.1.1 | EntrezGene:820001 | UniProt:A0A178VB65 |
| ProteinID:AAG50828.1 | ProteinID:AAG51341.1 | ProteinID:AEE74644.1 | EMBL:AK230290 | InterPro:ARM-type_fold | ArrayExpress:AT3G08530 |
| EnsemblPlantsGene:AT3G08530 | RefSeq:AT3G08530 | TAIR:AT3G08530 | RefSeq:AT3G08530-TAIR-G | EnsemblPlants:AT3G08530.1 | TAIR:AT3G08530.1 |
| EMBL:AY094397 | EMBL:AY125528 | Unigene:At.17332 | InterPro:Clathrin_H-chain/VPS_repeat | InterPro:Clathrin_H-chain_N | InterPro:Clathrin_H-chain_linker_core |
| InterPro:Clathrin_H-chain_propeller_rpt | InterPro:Clathrin_heavy_chain | ncoils:Coil | GO:GO:0003674 | GO:GO:0005198 | GO:GO:0005488 |
| GO:GO:0005515 | GO:GO:0005575 | GO:GO:0005622 | GO:GO:0005623 | GO:GO:0005737 | GO:GO:0005794 |
| GO:GO:0005829 | GO:GO:0005886 | GO:GO:0005905 | GO:GO:0006810 | GO:GO:0006886 | GO:GO:0006897 |
| GO:GO:0008150 | GO:GO:0009506 | GO:GO:0009507 | GO:GO:0009536 | GO:GO:0009987 | GO:GO:0016020 |
| GO:GO:0016043 | GO:GO:0016192 | GO:GO:0030130 | GO:GO:0030132 | GO:GO:0030659 | GO:GO:0031410 |
| GO:GO:0032051 | GO:GO:0042802 | GO:GO:0048268 | GO:GO:0071439 | InterPro:IPR000547 | InterPro:IPR011990 |
| InterPro:IPR016025 | RefSeq:NP_187466.4 | ProteinID:OAP02223.1 | PFAM:PF00637 | PFAM:PF01394 | PFAM:PF09268 |
| PFAM:PF13838 | PIRSF:PIRSF002290 | PO:PO:0000293 | PO:PO:0007131 | PO:PO:0009025 | PFscan:PS50236 |
| PANTHER:PTHR10292 | PANTHER:PTHR10292:SF1 | UniProt:Q0WLB5 | SMART:SM00299 | SUPFAM:SSF48371 | SUPFAM:SSF50989 |
| InterPro:TPR-like_helical_dom_sf | UniParc:UPI000034F01F | SEG:seg | : | : | : |
Description
CHC2Clathrin heavy chain 2 [Source:UniProtKB/Swiss-Prot;Acc:Q0WLB5]
Coordinates
chr3:-:2586804..2595654
Molecular Weight (calculated)
193282.0 Da
IEP (calculated)
5.036
GRAVY (calculated)
-0.171
Length
1703 amino acids
Sequence
(BLAST)
(BLAST)
0001: MAAANAPITM KEVLTLPSIG INQQFITFTN VTMESDKYIC VRETSPQNSV VIIDMNMPMQ PLRRPITADS ALMNPNSKIL ALKAQVPGTT QDHLQIFNIE
0101: AKAKLKSHQM PEQVVFWKWI TPKMLGLVTQ NSVYHWSIEG DSEPVKMFDR TANLANNQII NYKCSPNEKW LVLIGIAPGS PERQQLVKGN MQLFSVDQQR
0201: SQALEAHAAS FAQFKVPGNE NPSILISFAS KSFNAGQITS KLHVIELGAQ PGKPSFTKKQ ADLFFPPDFA DDFPVAMQVS HKFNLIYVIT KLGLLFVYDL
0301: ETASAIYRNR ISPDPIFLTS EASSVGGFYA INRRGQVLLA TVNEATIIPF ISGQLNNLEL AVNLAKRGNL PGAENLVVQR FQELFAQTKY KEAAELAAES
0401: PQGILRTPDT VAKFQSVPVQ AGQTPPLLQY FGTLLTRGKL NSYESLELSR LVVNQNKKNL LENWLAEDKL ECSEELGDLV KTVDNDLALK IYIKARATPK
0501: VVAAFAERRE FDKILIYSKQ VGYTPDYLFL LQTILRTDPQ GAVNFALMMS QMEGGSPVDY NTITDLFLQR NLIREATSFL LDVLKPNLPE HAFLQTKVLE
0601: INLVTFPNVA DAVLANGMFT HYDRPRIAQL CEKAGLYIQS LKHYSELPDI KRVIVNTHAI EPQALVEFFG TLSSEWAMEC MKDLLLVNLR GNLQIIVQAC
0701: KEYCEQLGVD ACIKLFEQFK SYEGLYFFLG SYLSMSEDPE IHFKYIEAAA KTGQIKEVER VTRESNFYDA EKTKNFLMEA KLPDARPLIN VCDRFSFVPD
0801: LTHYLYTNNM LRYIEGYVQK VNPGNAPLVV GQLLDDECPE DFIKGLILSV RSLLPVEPLV EECEKRNRLR LLTQFLEHLV SEGSQDVHVH NALGKIIIDS
0901: NNNPEHFLTT NPYYDSKVVG KYCEKRDPTL AVVAYRRGQC DEELINVTNK NSLFKLQARY VVERMDGDLW DKVLDENNDY RRQLIDQVVS TALPESKSPE
1001: QVSAAVKAFM TADLPHELIE LLEKIVLQNS AFSGNFNLQN LLILTAIKAD PSRVMDYINR LDNFDGPAVG EVAVEAQLYE EAFAIFKKFN LNVQAVNVLL
1101: DNVRSIERAV EFAFRVEEDS VWSQVAKAQL REGLVSDAIE SFIRADDATH FLEVIRVSED TDVYDDLVKY LLMVRQKVKE PKVDSELIYA YAKIDRLGEI
1201: EEFILMPNVA NLQHVGDRLY DEALYEAAKI IYAFISNWGK LAVTLVKLQQ FQGAVDAARK ANSAKTWKEV CFACVDAEEF RLAQICGLNI IIQVDDLEEV
1301: SEYYQNRGCF NELISLMESG LGLERAHMGI FTELGVLYAR YRYEKLMEHI KLFSTRLNIP KLIRACDEQQ HWQELTYLYI QYDEFDNAAT TVMNHSPEAW
1401: EHMQFKDIVA KVANVELYYK AVHFYLQEHP DIINDLLNVL ALRLDHTRVV DIMRKAGHLR LIKPYMIAVQ SNNVSAVNEA LNEIYVEEED YDRLRESIDL
1501: HDSFDQIGLA QKIEKHELVE MRRVAAYIYK KAGRWKQSIA LSKKDNMYKD CMETASQSGE HELAEQLLVY FIEQGKKECF ATCLFVCYDL IRPDVALELA
1601: WINNMMDFAF PYLLQFIREY SGKVDELIKD KLEAQKEVKA KEQEEKDVIS QQNMYAQMLP LALPAPPMPG MGGGGGYGPP PQMGGMPGMP PMPPYGMPPM
1701: GGY
0101: AKAKLKSHQM PEQVVFWKWI TPKMLGLVTQ NSVYHWSIEG DSEPVKMFDR TANLANNQII NYKCSPNEKW LVLIGIAPGS PERQQLVKGN MQLFSVDQQR
0201: SQALEAHAAS FAQFKVPGNE NPSILISFAS KSFNAGQITS KLHVIELGAQ PGKPSFTKKQ ADLFFPPDFA DDFPVAMQVS HKFNLIYVIT KLGLLFVYDL
0301: ETASAIYRNR ISPDPIFLTS EASSVGGFYA INRRGQVLLA TVNEATIIPF ISGQLNNLEL AVNLAKRGNL PGAENLVVQR FQELFAQTKY KEAAELAAES
0401: PQGILRTPDT VAKFQSVPVQ AGQTPPLLQY FGTLLTRGKL NSYESLELSR LVVNQNKKNL LENWLAEDKL ECSEELGDLV KTVDNDLALK IYIKARATPK
0501: VVAAFAERRE FDKILIYSKQ VGYTPDYLFL LQTILRTDPQ GAVNFALMMS QMEGGSPVDY NTITDLFLQR NLIREATSFL LDVLKPNLPE HAFLQTKVLE
0601: INLVTFPNVA DAVLANGMFT HYDRPRIAQL CEKAGLYIQS LKHYSELPDI KRVIVNTHAI EPQALVEFFG TLSSEWAMEC MKDLLLVNLR GNLQIIVQAC
0701: KEYCEQLGVD ACIKLFEQFK SYEGLYFFLG SYLSMSEDPE IHFKYIEAAA KTGQIKEVER VTRESNFYDA EKTKNFLMEA KLPDARPLIN VCDRFSFVPD
0801: LTHYLYTNNM LRYIEGYVQK VNPGNAPLVV GQLLDDECPE DFIKGLILSV RSLLPVEPLV EECEKRNRLR LLTQFLEHLV SEGSQDVHVH NALGKIIIDS
0901: NNNPEHFLTT NPYYDSKVVG KYCEKRDPTL AVVAYRRGQC DEELINVTNK NSLFKLQARY VVERMDGDLW DKVLDENNDY RRQLIDQVVS TALPESKSPE
1001: QVSAAVKAFM TADLPHELIE LLEKIVLQNS AFSGNFNLQN LLILTAIKAD PSRVMDYINR LDNFDGPAVG EVAVEAQLYE EAFAIFKKFN LNVQAVNVLL
1101: DNVRSIERAV EFAFRVEEDS VWSQVAKAQL REGLVSDAIE SFIRADDATH FLEVIRVSED TDVYDDLVKY LLMVRQKVKE PKVDSELIYA YAKIDRLGEI
1201: EEFILMPNVA NLQHVGDRLY DEALYEAAKI IYAFISNWGK LAVTLVKLQQ FQGAVDAARK ANSAKTWKEV CFACVDAEEF RLAQICGLNI IIQVDDLEEV
1301: SEYYQNRGCF NELISLMESG LGLERAHMGI FTELGVLYAR YRYEKLMEHI KLFSTRLNIP KLIRACDEQQ HWQELTYLYI QYDEFDNAAT TVMNHSPEAW
1401: EHMQFKDIVA KVANVELYYK AVHFYLQEHP DIINDLLNVL ALRLDHTRVV DIMRKAGHLR LIKPYMIAVQ SNNVSAVNEA LNEIYVEEED YDRLRESIDL
1501: HDSFDQIGLA QKIEKHELVE MRRVAAYIYK KAGRWKQSIA LSKKDNMYKD CMETASQSGE HELAEQLLVY FIEQGKKECF ATCLFVCYDL IRPDVALELA
1601: WINNMMDFAF PYLLQFIREY SGKVDELIKD KLEAQKEVKA KEQEEKDVIS QQNMYAQMLP LALPAPPMPG MGGGGGYGPP PQMGGMPGMP PMPPYGMPPM
1701: GGY
Hydropathy Plot
About CropPAL
The Protein Annotated Locations Database (CropPAL) houses large scale proteomic and GFP localization data from published experimental studies in Soybean (Glycine max), Maize (Zea mays), Wheat (Triticum aestivum), Barley (Hordeum vulgare), Rice (Oryza sativa), Field mustard (Brassica rapa), Canola (Brassica napus), Sorghum (Sorghum bicolor), Potato (Solanum tuberosum), Tomato (Solanum lycopersicum), Banana (Musa acuminata) and Wine grape (Vitis vinifera) as well as precomputed predictions for protein subcellular localizations using protein sequences.