B5BGZ2 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigbqbuujpibfrkrm7ug7rx3gfj2n3zaquunp3477akhbfahndwksm/metadata.json
IPFS of structure file: 
bafybeih3stpm525omu7edtjxzlef4mgnz52m4s22ji6ctv53pwqrdzb32y/AF-B5BGZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9158EdADb642805f96B766361CCD41b795b0Ac79
First NFT owner address (bech32): 
genesis1j9vwmtdkg2q9l94hvcmpen2pk72mptrevw7emt
Current NFT ID #111701 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111701
Accession (UniProt):
B5BGZ2
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Salmonella paratyphi A (strain AKU_12601)

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 B5BGZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5BGZ2|EFG_SALPK Elongation factor G OS=Salmonella paratyphi A (strain AKU_12601) OX=554290 GN=fusA PE=3 SV=1 MARTTPIARYRNIGISAHIDAGKTTTTERILFYTGVNHKIGEVHDGAATMDWMEQEQERGITITSAATTAFWSGMAKQYEPHRINIIDTPGHVDFTIEVERSMRVLDGAVMVYCAVGGVQPQSETVWRQANKYKVPRIAFVNKMDRMGANFLKVVGQIKTRLGANPVPLQLAIGAEEGFTGVVDLVKMKAINWNDADQGVTFEYEDIPADMQDLANEWHQNLIESAAEASEELMEKYLGGEELTEEEIKQALRQRVLNNEIILVTCGSAFKNKGVQAMLDAVIDYLPSPVDVPAINGILDDGKDTPAERHASDDEPFSALAFKIATDPFVGNLTFFRVYSGVVNSGDTVLNSVKTARERFGRIVQMHANKREEIKEVRAGDIAAAIGLKDVTTGDTLCDPENPIILERMEFPEPVISIAVEPKTKADQEKMGLALGRLAKEDPSFRVWTDEESNQTIIAGMGELHLDIIVDRMKREFNVEANVGKPQVAYREAIRAKVTDIEGKHAKQSGGRGQYGHVVIDMYPLEPGSNPKGYEFINDIKGGVIPGEYIPAVDKGIQEQLKSGPLAGYPVVDLGVRLHFGSYHDVDSSELAFKLAASIAFKEGFKKAKPVLLEPIMKVEVETPEENTGDVIGDLSRRRGMLKGQESEVTGVKIHAEVPLSEMFGYATQLRSLTKGRASYTMEFLKYDDAPNNVAQAVIEARGK