B7LRC4 AF NFT

Probable sugar efflux transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif36lsgx6mei5w32nxkv777ghbsttjokg7pesmgt45ypuirfh7ug4/metadata.json
IPFS of structure file: 
bafybeicnfln2xn2ag6cqwdoumplmc3un34t3oahv2k4dxk7ksur3l7zj5u/AF-B7LRC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #433008 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433008
Accession (UniProt):
B7LRC4
Name::
Probable sugar efflux transporter
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LRC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LRC4|SOTB_ESCF3 Probable sugar efflux transporter OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=sotB PE=3 SV=1 MTTNTVTRKVAWLRVVTLAIAAFIFNTTEFVPVGLLSDIAASFHMETAQTGIMLTIYAWVVALMSLPFMLLTSQVERRRLLICLFVLFIASHILSFMAWSFTVLVISRIGVAFAHAIFWSITASLAIRLAPAGKRAQALSLLATGTALAMVLGLPVGRIVGQYFGWRTTFLAIGVGAFLTLLCLIKLLPLLPSEHSGSLKSLPVLFRRPALMSIYLLTVVVVTAHYTAYSYIEPFVQNIAGLSANFATVLLLILGGAGIIGSVIFGKLGNNHASVLVSVAIALLMACLLLLMPASVSETHLAILSIFWGIAIMMIGLGMQVKVLALAPDATDVAMSLFSGIFNIGIGAGALVGNQVSLHWSMADIGYVGAIPAFLALVWSVIIFRRWPVVLEEQPQH