A0KGY3 AF NFT

Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5umcysnyttksga5hxemif5gdqisv5u6bspmaz4uxh2ml5dfsazy/metadata.json
IPFS of structure file: 
bafybeih7x35brpq2oddt3xtwm3ihndkwcrygpxen4mi335dy3r62cgadwi/AF-A0KGY3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #23918 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
23918
Accession (UniProt):
A0KGY3
Name::
Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnE
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KGY3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KGY3|ARNE_AERHH Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnE OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=arnE PE=3 SV=1 MDILLLLLVCLLTCGGQMLQKQAVVSWQRRPCNHWQKLRSPWLIASVAALGCGMLLWIYLLQRLPLSMAYPMLSINLVLVLVGSRLFFHEQISYHNWLGVGAIIVGALLLGGLL