A1SNN6 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2okri6j3erksgrwdhohxfh7hfvadpn6dkxcblvb2rykw4axdqke/metadata.json
IPFS of structure file: 
bafybeia6jlxktv7igsgk2obkmnahynnxf256aibkntsitraoyywhazbkua/AF-A1SNN6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xadc5f8709a462818d02825689ca98a962837C2C5
First NFT owner address (bech32): 
genesis14hzlsuy6gc5p35pgy45fe2v2jc5r0sk9ahwjn7
Current NFT ID #111577 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111577
Accession (UniProt):
A1SNN6
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Nocardioides sp. (strain ATCC BAA-499 / JS614)

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 A1SNN6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1SNN6|EFG_NOCSJ Elongation factor G OS=Nocardioides sp. (strain ATCC BAA-499 / JS614) OX=196162 GN=fusA PE=3 SV=1 MAVDITTDLNKVRNIGIMAHIDAGKTTTTERILFYTGITYKIGEVHEGAATMDWMEQEQERGITITSAATTCWWKDHQINIIDTPGHVDFTAEVERSLRVLDGAVAVFDGVAGVEPQTMTVWRQANKYAVPRMCFVNKLDRTGADFFRCVDMMVERLNSTPLVLQLPIGAESDFLGVVDLVGMRALTWRGETKMGEDYEVEEIPAELAEQAAEYREKLLETLSEADDDVMEKYLEGEDFTVEELEAAIRRATLADKVNPVLCGTAFKNKGVQPLLDAVVKFLPSPLDIGEIIGHSVKDENEKVSRKPADSEPFSGLAYKIASDPHLGKLIYIRVYSGKLEAGSTVVNSVNGRKERIGKVYQMHANKREEIASVGAGQIVAVMGLKDTKTGHTLSDPQHQVVLESMTFPAPVIEVAIEPKTKSDQEKLGTAIQRLSDEDPTFTVKSDEETGQTIIAGMGELHLEILVDRMRREFRVEATVGKPQVAYRETIRRKVENHSYTHKKQTGGSGQFAKVIISLEPSIDPETNTGAGYEFVNNVSGGRVPREYIPSVDQGAQEAMEFGVLAGYPMVDVKVTLEDGAYHDVDSSELAFKIAGNQAFKEAARQAKPVLLEPMFAVEVTTPETFLGTVIGDINSRRGHIQAQEERHGDMVISALVPLSEMFGYVGDLRSKTSGQASYSMEFDSYAEVPQGIADEIIKKVRGE