Q2N9A7 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid76t2nutnskde7xhjxghrr4ipkeajf4ghltc3t3gwf24ejtxuz3y/metadata.json
IPFS of structure file: 
bafybeielpdvav56okdqriy625iahvwxbem3tc5tvmrj7rmlbf75fmq2jti/AF-Q2N9A7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA3982b0D16daaC5E84d2174159ed91c4Ce1827a7
First NFT owner address (bech32): 
genesis15wvzkrgkm2k9apxjzaq4nmv3cn8psfa8d9qlt0
Current NFT ID #111411 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111411
Accession (UniProt):
Q2N9A7
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
ERYTHROBACTER LITORALIS (STRAIN HTCC2594)

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 Q2N9A7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2N9A7|EFG_ERYLH Elongation factor G OS=Erythrobacter litoralis (strain HTCC2594) OX=314225 GN=fusA PE=3 SV=1 MAREYPLERYRNIGIMAHIDAGKTTTTERILYYTGKSYKIGEVHDGAATMDWMEQEQERGITITSAATTTFWTAEDATKDPMSDPETLREGQPKHRINIIDTPGHVDFTIEVERSLRVLDGAVAVFDGVAGVEPQSETVWRQADKYKVPRMCFINKLDRTGADFYYCVQSIIDRLGATPLVLYLPIGAESDLQGVVDLVNMRGIVWQAEDLGAKYEFVEIPADLADKAAEYREKLVETAVEQDDDAMEAYLETGEAPDAATLKRLIRKGTMDRAFVPVLCGSAFKNKGVQPLLDAVVDYMPSPLDVPAIKGVLPDTDTEETRPSSDDEPFSALAFKIMNDPFVGSLTFTRIYSGKLSKGQVLNSVKDKKEKIGRMLLMHSNNREDIDEAFAGDIVAIAGMKDTTTGDTLCDPANPIILERMEFPDPVIELSVEPKTKADQEKMGVALNRLAAEDPSFRVSTDHESGQTIIKGMGELHLDILVDRMKREFKVEANVGAPQVAYRESLAREVEVTYTHKKQSGGSGQFGEAKVVVTPGERGQGIIFEDEIKGGNIPREYIPSVEKGMREQAESGYLVGFPIIDFTIRLIDGKYHDVDSSTVAFEITGRGAMREAAERGGIKLLEPIMKVEVVTPEDYLGDVIGDLNSRRGQIQGTDSRGNAQAVEAFVPLANMFGYVNELRSFTQGRAQYTMQFSHYDEVPANVAQEVKEKLA