Q8UAK2 AF NFT

Putative ribose/galactose/methyl galactoside import ATP-binding protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibyljczwzy3v36tkgofty4gqn3c34hzr72nxgremy3vsysjk5z42u/metadata.json
IPFS of structure file: 
bafybeiav6rxghw6tojzbbob7yukc77w4euk5u6zrcracpgk646oyqsyqse/AF-Q8UAK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4DFa4212bcA4e8C4A6FaABF30918b7cc4486C3Db
First NFT owner address (bech32): 
genesis1fhayyy4u5n5vffh640esjx9he3zgds7m5r5vaf
Current NFT ID #341595 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
341595
Accession (UniProt):
Q8UAK2
Name::
Putative ribose/galactose/methyl galactoside import ATP-binding protein 2
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM FABRUM (STRAIN C58 / ATCC 33970)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q8UAK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8UAK2|RGMG2_AGRFC Putative ribose/galactose/methyl galactoside import ATP-binding protein 2 OS=Agrobacterium fabrum (strain C58 / ATCC 33970) OX=176299 GN=Atu3371 PE=3 SV=2 MVVSPSTMAAVRASGAVPNAEFLLAADGIRKEFPGVVALDDVQFHLKRGTVHALMGENGAGKSTLMKILAGIYQPDNGEIRLKGAPIRLDSPLDALENGIAMIHQELNLMAYMTVAENIWIRREPKNRLGFIDHGEMYRRTETLLERLGIDLDPETRVGELSVASRQMVEIAKAVSYNSDVLIMDEPTSALTEREVEHLFRIIRDLRERGIGIVYITHKMNELFEIADEFSVFRDGKYIGTHASTDVTRDDIIRMMVGREITQMFPKEEVPIGDVVLSVKNLNLDGVFHDVSFDVRAGEILGVAGLVGSGRSNVAETVFGVTPASSGTISIDGKPVSIDSPTTAISHRMAFLTEDRKDTGCLLILNILENMQIAVLQDKYVANGFVQENALSEACEEMCRKLRVKTPHLYERIENLSGGNQQKVLIGRWMLTKPRILILDEPTRGIDVGAKAEIHKLVCEMARQGVAVIMISSEMPEVLGMSDRVMVMHEGRVTGFLARSEATQVKVMDLASR