Q9VLK2 AF NFT

Ribosomal L1 domain-containing protein CG13096

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpbucwqosejdcqmoevmbxlfewolz7qf2t3xztf3mrg23g5lglx3e/metadata.json
IPFS of structure file: 
bafybeihlxlowoqegp2qnb4wwuccl6nam2um7uurutdu3adihplxv34cfxy/AF-Q9VLK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #514502 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
514502
Accession (UniProt):
Q9VLK2
Name::
Ribosomal L1 domain-containing protein CG13096
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 Q9VLK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VLK2|Y3096_DROME Ribosomal L1 domain-containing protein CG13096 OS=Drosophila melanogaster OX=7227 GN=CG13096 PE=1 SV=1 MVKVQKPQPKSLNKSASIEGVVKKKGKPEKTKKLATDATLELASNKKAKNAAPVKKDAIKKEPEVSKKGAEKKQSKAAKRPLILAPPESPAAPAPAAKKSKAKPAASGAPVGKKIEAKKPLILAPPESPVPPKKQEKKTKAAPVKAKKEPAPAKKSVQDPVPSIKKVPAAKKSGQTAALTKKTAKTEKQAAPAKPAKAQPASQLQKKAKAVQKLSKPASPPKSKKALSKSKPGQAKGNAVNKEPAKSKKPVELTFELKAFDEKRFHEIVNENNVTKVCAALKSVVSEEVEKKKNTSIFSDYRYVLQVCSYKIPSCPKRMVKLNLKHSLVGKDDDVALIVPDLQRGAKFDYDPTKQHYEDMLREAGVKQRLTVVPFNQLRNEMGSFEAKRKFLNSYDYLLCDGRLSGQATAFLGKNTQKPRNVLHSLRLSKDNDKLPQEVTRALTRTAFRQLSKGDLIAVPVGNHEITAEQLAENILLVIKQLQEVYPGGLANIRSMYLKIDITGTSALPLYVSMCAPPEDVPYVVGPREQRMLKLKKQANEVLSKFAMTKDAEFIKLTSDQVKRKAQLRKEKAALLAADAAPKDNDGGDAAVPAKKARKESSSEGAKADAESDEEEEVEEAEDSAGESGDEDEEGHDGDDTDEDEDEDDDDDNEDGDDDEDEDDDEEDDDEEDDDDDDDEE