CropPAL

Subcellular Localization

min:

: max

Winner_takes_all: mitochondrion, cytosol

Predictor Summary:

nucleus 1
plastid 1
cytosol 4
mitochondrion 1

Predictors

GFP

MS/MS

Papers

mitochondrion: 28499913

msms PMID: 28499913 doi

S Komatsu, X Wang, X Yin, Y Nanjo, H Ohyanagi, K Sakata

Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan. Electronic address: ksakata@maebashi-it.ac.jp., Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba 305-8518, Japan., Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba 305-8518, Japan; Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan., Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba 305-8518, Japan; Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan. Electronic address: komatsu.setsuko.fu@u.tsukuba.ac.jp., King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal 23955-6900, Saudi Arabia.

PPI

No PPI Data

Homology

Paralog

locus	Identity	Homology Identity

Ortholog

locus	Homology Species	Location	Identity	Homology Identity
KRH13141	Soybean	cytosol	90.85	91.45
KRH44774	Soybean	cytosol	79.08	79.61
KRH44771	Soybean	cytosol, mitochondrion	78.43	78.95
KRH13115	Soybean	cytosol	75.16	75.66
KRH17964	Soybean	cytosol	60.78	60.78
KRH32895	Soybean	cytosol	48.37	48.37
KRH07297	Soybean	cytosol	47.71	48.34
KRH72121	Soybean	cytosol, vacuole	43.14	46.81
KRH38207	Soybean	cytosol	45.1	45.1
VIT_01s0011g05120.t01	Wine grape	cytosol	42.48	43.05
VIT_01s0011g05110.t01	Wine grape	cytosol	38.56	39.07
VIT_01s0011g05130.t01	Wine grape	cytosol	37.91	38.41
VIT_01s0011g05070.t01	Wine grape	cytosol	18.3	37.84
AT1G70870.1	Thale cress	cytosol	30.07	33.09
CDY09498	Canola	cytosol	31.37	32.88
Bra007950.1-P	Field mustard	cytosol	31.37	32.88
CDY03712	Canola	cytosol	30.72	32.19
KRH13947	Soybean	cytosol	29.41	29.03
CDY41464	Canola	cytosol	26.8	27.89
Bra016363.1-P	Field mustard	cytosol	26.8	27.89
CDY41462	Canola	cytosol	24.84	26.03
CDX91697	Canola	cytosol	24.84	25.68
KRH13946	Soybean	cytosol	25.49	25.16
Bra016361.1-P	Field mustard	cytosol	21.57	25.0
KRH37979	Soybean	cytosol	24.18	23.87
AT1G23120.2	Thale cress	vacuole	26.8	20.71
KRH13944	Soybean	cytosol	18.3	20.0

Protein Annotations

EMBL:ACUP02004956	EMBL:BT089824	EnsemblPlants:KRH44775	EnsemblPlantsGene:GLYMA_08G230500	EntrezGene:100499848	Gene3D:3.30.530.20
GO:GO:0006950	GO:GO:0006952	GO:GO:0008150	GO:GO:0009607	InterPro:Bet_v_I/MLP	InterPro:IPR023393
InterPro:START-like_dom_sf	PANTHER:PTHR31907	PANTHER:PTHR31907:SF2	PFAM:PF00407	ProteinID:KRH44775	ProteinID:KRH44775.1
SMART:SM01037	SUPFAM:SSF55961	UniParc:UPI0000E646F5	UniProt:C6SXD0	MapMan:35.1	:

Description

hypothetical protein

Coordinates

chr8:-:18861953..18863544

Molecular Weight (calculated)

17762.8 Da

IEP (calculated)

6.441

GRAVY (calculated)

-0.622

Length

153 amino acids

Sequence
(BLAST)

001: MSLAGKITTE IGVHATATKW FNLFATQLHH VQNLTDRVHG TKLHQGEDWH HNETVKHWTY TIDGKVTTCL ESIESIDEQS KTITYKLFSG DIDHNYKNFK
101: FIFQAIDDND HGGTIIKWTV EYERLREEVD PPYGHIEYLH KCTKDIDGHL LKA

Best Arabidopsis Sequence Match ( AT1G70890.1 )
(BLAST)

001: MAEASSLVGK LETEVEIKAS AKKFHHMFTE RPHHVSKATP DKIHGCELHE GDWGKVGSIV IWKYVHDGKL TVGKNKIEAV DPEKNLITFK VLEGDLMNEY
101: KSFAFTLQVT PKQGESGSIA HWHLEYEKIS EEVAHPETLL QFCVEISKEI DEHLLAEE

Arabidopsis Description

MLP43MLP-like protein 43 [Source:UniProtKB/Swiss-Prot;Acc:Q9SSK5]
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.