Q9VNX8 AF NFT

Eukaryotic translation initiation factor 2A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifuheoyasfmzpr4ruga65nith33eigoshhu5hg372uusqlpxypr7q/metadata.json
IPFS of structure file: 
bafybeidw446axpqhm4ufad4isnikntukxmz2wtgw4efi5dz7wtlqdmxuiy/AF-Q9VNX8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x744CdE2c0e41F74D7F5Aef2e7116425c8499d7f4
First NFT owner address (bech32): 
genesis1w3xdutqwg8m56l66auh8z9jztjzfn4l5gkrj6t
Current NFT ID #114909 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
114909
Accession (UniProt):
Q9VNX8
Name::
Eukaryotic translation initiation factor 2A
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VNX8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VNX8|EIF2A_DROME Eukaryotic translation initiation factor 2A OS=Drosophila melanogaster OX=7227 GN=CG7414 PE=1 SV=1 MAAAADLVVPTLAIRSSVAVELWSSAGSKQPFEHKPHLPREETKSSRSICFSSNGRYFAYSNGQEVKVLQASRDSAASWPVICVLPRPKAFYLQFSPRGSYLCTWEHYAITKDRPEGSPNLLVYEVATGVEVFAIVQKNQADWQPSWSADESIFALVVGGEALFYDLGEGAEKGFATTSRKIGGSRGGMLSLGPGNCPPFLAFYTPGAKGAPSMCKLYKYPALGQNQTVACKSFFQADRVEMLWNKRGSGLLLLTSTEVDKSGASYYGNQAVHFMATKGDTCSVPLSKEGPVHCVKWSPKATEFVVVYGFMPSKAALYNLKCDVVFDFGEGPRNCAYFNPFGNLIALAGFGNLPGAVEVWDVSKREKLANLKCADTTVFEWHPNGEWFVTATTAPRLRISNGFKVYHYSGALLHETMWPQGQELLGIEWQQFADKTFSEPKITKAKHEGIKSSQPEASKKAYTPPHLRLLKEGKNPEKYLPQPSIPGLAPTAAAGGVNGNKRNNKNKQRSARKDVNVVNGGDADSAPTEVVDQAAPVARQSPVFVAAEERKPQHTPRQKYQPDNAADQPPNSYGQGHPNGQHISDKERKIRSVAKKLSDIKKLKVRRSQGENLELNQLNKIKMEAQYLDELKALKQSA