Factsheet for TraesCS4A01G376500.1

Subcellular Localization

min:

: max

Winner_takes_all: cytosol

Predictor Summary:

cytosol 3
plastid 1

Predictors

GFP

MS/MS

Papers

Winner Takes All:	cytosol
Any Predictor:	cytosol, plastid
MultiLoc:	cytosol
PProwler:	plastid
WoLF PSORT:	cytosol
YLoc:	cytosol

PPI

No PPI Data

Homology

Paralog

locus	Identity	Homology Identity

Ortholog

locus	Homology Species	Location	Identity	Homology Identity
TraesCS7A01G078000.2	Wheat	cytosol	97.08	98.39
TraesCS7D01G073400.1	Wheat	cytosol	97.61	97.87
TraesCS7A01G077700.1	Wheat	cytosol	71.62	96.09
Os06t0137700-01	Rice	cytosol	88.33	88.8
Zm00001d045420_P001	Maize	cytosol	85.41	86.79
Zm00001d036091_P001	Maize	plasma membrane	86.21	86.21
CDY65887	Canola	cytosol	57.82	81.34
CDY55090	Canola	cytosol	58.36	81.18
CDY45223	Canola	cytosol	57.56	80.97
KRH76673	Soybean	cytosol, nucleus	77.45	80.0
KRH28781	Soybean	cytosol, mitochondrion, nucleus	76.66	79.18
CDY33292	Canola	cytosol	75.33	78.89
Bra038888.1-P	Field mustard	cytosol	75.07	78.61
Bra012865.1-P	Field mustard	cytosol	75.07	78.39
Bra031811.1-P	Field mustard	cytosol	73.74	78.31
CDX90659	Canola	cytosol	74.8	78.12
CDY29005	Canola	cytosol	74.8	78.12
CDY16314	Canola	cytosol	74.54	78.06
CDX73745	Canola	cytosol	74.27	77.78
CDX77979	Canola	cytosol	74.01	77.5
Bra036833.1-P	Field mustard	cytosol	74.01	77.5
AT5G66280.1	Thale cress	cytosol	73.74	77.01
PGSC0003DMT400036764	Potato	cytosol	74.01	76.86
PGSC0003DMT400009345	Potato	cytosol	73.21	76.67
Solyc03g118270.1.1	Tomato	cytosol	73.74	76.58
Solyc02g084210.1.1	Tomato	cytosol	73.21	76.45
VIT_04s0023g03170.t01	Wine grape	cytosol	74.8	75.6
AT3G51160.1	Thale cress	cytosol	74.54	75.34
Bra012067.1-P	Field mustard	cytosol	73.47	75.27
EES03228	Sorghum	plastid	25.99	74.81
CDX81397	Canola	cytosol	16.18	69.32
CDY30776	Canola	cytosol	50.13	64.29
GSMUA_Achr11P...	Banana	cytosol, nucleus, plastid	17.24	53.28

Protein Annotations

KEGG:00051+4.2.1.47	KEGG:00520+4.2.1.47	MapMan:3.13.2.1.1	Gene3D:3.40.50.720	Gene3D:3.90.25.10	InterPro:GDP_Man_deHydtase
GO:GO:0003674	GO:GO:0003824	GO:GO:0006139	GO:GO:0008150	GO:GO:0008152	GO:GO:0008446
GO:GO:0009987	GO:GO:0019673	HAMAP:MF_00955	InterPro:NAD(P)-bd_dom	InterPro:NAD(P)-bd_dom_sf	PFAM:PF16363
PANTHER:PTHR43715	SUPFAM:SSF51735	TIGRFAMs:TIGR01472	EnsemblPlantsGene:TraesCS4A01G376500	EnsemblPlants:TraesCS4A01G376500.1	TIGR:cd05260
SEG:seg	:	:	:	:	:

Description

No Description!

Coordinates

chr4A:-:650870908..650872041

Molecular Weight (calculated)

41885.6 Da

IEP (calculated)

7.441

GRAVY (calculated)

-0.383

Length

377 amino acids

Sequence
(BLAST)

001: MADSSAPHSN GGAVAVADAE AVPRSLAPPR RVALVTGITG QDGSYLTELL LSKGYEVHGL IRRSSNFNTQ RLDHIYHDPH ATPSAALRPP MRLHYADLSD
101: SSSLRRALDH VLPDEVYNLA AQSHVAVSFE VPDYTADVTA TGALRLLEAV RLSAKTKPMR YYQAGSSEMF GSTPPPQSEA TPFHPRSPYA AAKVAAHWYT
201: VNYREAYGLF ACNGVLFNHE SPRRGENFVT RKITRAIGRI KVGLQTKVFL GNLSAARDWG FAGDYVEAMW LMLQQDKPDD YVVATEECHT VEEFLQAAFG
301: YTGLNWKDHV VIDKKYFRPS EVDCLQGDSS KSRRVLGWKP KVGFQQLVEM MVDNDIELAK KEKVLVDAGY RDPKQQP

Best Arabidopsis Sequence Match ( AT3G51160.1 )
(BLAST)

001: MASENNGSRS DSESITAPKA DSTVVEPRKI ALITGITGQD GSYLTEFLLG KGYEVHGLIR RSSNFNTQRI NHIYIDPHNV NKALMKLHYA DLTDASSLRR
101: WIDVIKPDEV YNLAAQSHVA VSFEIPDYTA DVVATGALRL LEAVRSHTID SGRTVKYYQA GSSEMFGSTP PPQSETTPFH PRSPYAASKC AAHWYTVNYR
201: EAYGLFACNG ILFNHESPRR GENFVTRKIT RALGRIKVGL QTKLFLGNLQ ASRDWGFAGD YVEAMWLMLQ QEKPDDYVVA TEEGHTVEEF LDVSFGYLGL
301: NWKDYVEIDQ RYFRPAEVDN LQGDASKAKE VLGWKPQVGF EKLVKMMVDE DLELAKREKV LVDAGYMDAK QQP

Arabidopsis Description

MUR1MUR_1 [Source:UniProtKB/TrEMBL;Acc:A0A178V6B0]
SUBAcon: [cytosol]

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.