Q54MP2 AF NFT

Coiled-coil domain-containing protein 22 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieq5mpfv6q5rc33ndsqgqvgryu2miyzj3pmsu6nw2za55jxegvaye/metadata.json
IPFS of structure file: 
bafybeigtp4emmh7d3ik4uktyrc5cnh666gtydlz4yz6ziwwi5t4ku6p2r4/AF-Q54MP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDe420b84cE9331dD74361d57077b159dd4aA3b7c
First NFT owner address (bech32): 
genesis1mepqhpxwjvca6apkr4tsw7c4nh225wmu3ud4sm
Current NFT ID #54317 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
54317
Accession (UniProt):
Q54MP2
Name::
Coiled-coil domain-containing protein 22 homolog
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54MP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54MP2|CCD22_DICDI Coiled-coil domain-containing protein 22 homolog OS=Dictyostelium discoideum OX=44689 GN=DDB_G0285813 PE=3 SV=1 MDEADGIILITLKDLGCEIEENETIKNFDSEMVYKCILAYLRVINEQKVINLTNTLPKNMSARVNACSLIANIIKDSGYRSELSYHNLLYPNVNDIRKIFIFLGQLLPKKEVESGGVSIQKLEDQICQYLQGCVKESWIPYFCPFSKRIPGNYSTATLFTTTGGNLRIPSRGRQLKVTPGLEQYYSQYLEPLTLQTNRFEDIAPSVFEYNLSIYAEAQERDNEWNDKGVSSGMNPIDYRKNKQKQVLSKMNDSIRQSIIDGGNNQISSNCNSGDSFLDIISEFRGNSLDVGGQFNRKKAFTNELNNNNNNNNDSTTNTNKVETEIETEEQRQLKRQAEIDALQSQIDEISESIQLHNKEMLDFLSLMRQSESENLEQDQQREVLEKQYKIKKKTFSLLDDAEGNMKELQSLCNQTSSNLLEMSGEWEKVRKPIIEKYRSLKDKQNNQADETKSKLDRIKEMRILIKKLVSEVQQKDDQFQQLQDQYKQAPKDSNRSQYTRRILETVKNIKKQKVDIDKVLLDTKNLQKEINTITDTAVRTFELVKDLLYNDAKKDQTAKQAIKSFAIIDDKFQKLFKTIDETGNFQNNILNLNSKIEHVSQKTNTLNSDRVVQDLKNIKSENQSLIKQIKTLIETKN