Q9VXT5 AF NFT

CWF19-like protein 2 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihs6bdggsqkmfi2apre3vc5hgizs3pcmuhd2fszre4jqa45jhymj4/metadata.json
IPFS of structure file: 
bafybeidhehvtkcw7bikmkiuqp4sx5x6wcrgpdc2hmvpagxw545ozgy4xhq/AF-Q9VXT5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x016eFb7c373f5274707F0796798db50F79ed4fDe
First NFT owner address (bech32): 
genesis1q9h0klph8af8gurlq7t8nrd4pau76n77pkq4kx
Current NFT ID #47692 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
47692
Accession (UniProt):
Q9VXT5
Name::
CWF19-like protein 2 homolog
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 Q9VXT5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VXT5|C19L2_DROME CWF19-like protein 2 homolog OS=Drosophila melanogaster OX=7227 GN=CG9213 PE=1 SV=2 MSYIQFESGREKDKARQELREAREAMLQQAKERAELRGQRERQKELRGEADWMLPALAKKLEKPAKKSKKNVSKHKSRSKSKSSKKSRKHRNSSSSSESSTSSSSSFSEDEKERKRRKKKSKRSRKESASEDEWVEAPPPLAADNVTKKEPPQRDDWMTSESLLLKTFSRERKEPAKPNEKAQQIDAYDPAKSGRELNPYWKSNGTGLPGFQKPQDDDERQAKPHSSSSAQGSSRGWRKPGAKAPSPPRRSRSRSKSATSSDEEEEEAVQQPKSRPSCLTDEQINELAGKAIKAELKGKKELAAELNQQLEAARKERAEFIASGESVRNANTRPAKSKASAEHVLLTKVDQSGNVRPLVQSGDPNESYGGRMGPKRGSKKVDTHVDGQRVRYFADDDRYDIKQMFEREKHATAAEVNLQYADIVSKHKNPNDDLDDIFADKVRKQISASDAEKREMQSAIREHEKLVATLDNCERCFDSAKLDKQLLVSLGDKIYLSLPWYMGLQSGHCILTTLQHVPCCTQLDEDAWEEISNFRKALTRMFAARRQDVVFYEIANKLHRRPHLSVHCIPIPASQGEMAPFYFKKAIEESEQEWCINKQLVSLRQKSLRAAIPKGLPYVWVHFGMDSGFAHVIEDEDRFPANFAQEILGGMLELNPNAWRKPRKEANPIGKVKSFAENWKKFDCTQN