Q54FY7 AF NFT | MOLNFT bioinformatics, blockchain

Copine-E

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihx3uch3nnorqvc6zp2nqwtd2d2fyr75lzpcz2cbtmsi43foxzl5a/metadata.json

IPFS of structure file:

bafybeie7ehagpamg6pdw7ef62ij7xsxdvny52w64ymvl3b34bqqrcaiucy/AF-Q54FY7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xD0cfbEc245A8BAC2A6eE43DE22b2C650C2c695B5

First NFT owner address (bech32):

genesis16r8masj94zav9fhwg00z9vkx2rpvd9d49s2r9p

Current NFT ID #75757 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
75757
Accession (UniProt):
Q54FY7
Name::
Copine-E
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 Q54FY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54FY7|CPNE_DICDI Copine-E OS=Dictyostelium discoideum OX=44689 GN=cpnE PE=2 SV=1 MSDSSIVNLSKEGDSNFSSATINLSKVDDTVNVSNATINLSKVTIDPSNQMSNPSNQGINLSKCTKVELRFKCMNLKDMDTFSKSDPQIFVYEKKGNNNNNNNSKPILIGSTEMISNNLNPVFKKTVTIDYHFERIQNLKFEVLDIDGGGKNDTIGDFSITLGNIISKPGKKVIGEIKCNGKQTGTIEIIAEEIQETGQNIILKLQGSKLDKKDLFSSDPFFKIFKSSANGNLLVYQSPVIKSNINPIYNPIIFKLEEFNGGDMFRELTFEFWDYDTIGDNDFIGSFKTTTDEILKGQVREFTLINPKKLSKSSYKNSGKIVFTDARLIAQPTFIDYLSGGCEINLMIAIDCTASNGMPSDRTSLHYNTPTHESEYARSILAVGNVLAPYDSDGKIELLGFGAERFGGVTSHCFQFGPKAEARGIEEVLSTYNKVIPTIKLSYPTNFQEIIKHAHKKSIKGVDSKNQKYTILLILTDGEITDMEETIEEIVKASSKAPLSIVIVGVGIASFELMKKLDGDENQLSDKNGVIATRDIVQFVPFKKYENDPEQLAAETLCEIPEQLIGYMKSQNYFPNMKN