A7IAP7 AF NFT

Probable translation initiation factor IF-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihm5jpurghchbc53kxffic3vsj7l7ocbybv4ktrxvuejlnnxb5fbe/metadata.json
IPFS of structure file: 
bafybeicqoqomgwlsyppu2q544dfnfmkn33lpo7srokdvvyu5xw2svyckwe/AF-A7IAP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9A56922FbaEc811f803d391e4C6E0a6e08B2a5F0
First NFT owner address (bech32): 
genesis1nftfyta6ajq3lqpa8y0ycms2dcyt9f0srlnc5r
Current NFT ID #184958 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
184958
Accession (UniProt):
A7IAP7
Name::
Probable translation initiation factor IF-2
Experimental Method:
Predicted structure
Sequence source:
Methanoregula boonei (strain DSM 21154 / JCM 14090 / 6A8)

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 A7IAP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7IAP7|IF2P_METB6 Probable translation initiation factor IF-2 OS=Methanoregula boonei (strain DSM 21154 / JCM 14090 / 6A8) OX=456442 GN=infB PE=3 SV=1 MSDPKIRTPIVCVMGHVDHGKTSLLDRIRGSSVVASEAGAITQHIGATIVPIEAIRKMSGSMEKIPINIPGLLFIDTPGHHAFTTLRARGGALADMAILVVDISQGFQPQTIEALQILRNCKTPFVIAATKVDRIHGWRINKDESFLSSFGKQNERVKTDIETKTYEIVGKLSDLGFSADRYDRVSDFQRNLAIVPVSAHTGEGIADLLMIMIGLAQRYMGEELKLSAEGPGEGTVLEVKEERGLGTTLDVILYNGTLSVGDEIAMASQDDVVTTKVRSLLKPRPMKEILIEDRFERVKSVVAASGIKVSAPGLEKVIAGSPLFVTRGNMDELAARIRKEMQEIHVNLAEEGIVIKADTIGALEALCKELESKEIKVMRAQVGPVSRHDLIDTETIKNPTFRVLLSFNTPILPDAADMIKDPLYTQVKVFSGQVIYQLIDQYVAWRDEQKRIAEKAQFEHVMMPAKIRLLPDCVFRQSNPAVVGVRVLGGKLRADVDLVKTDGKKIGHLKTMQLRQESIKEADAGLEVAISIEGATVGRQLNVGDDLLVDLPERHVKVLEREMLKNLNISTQEVLAEFVAIRRKAEPFWGK