Q2TLY2 AF NFT

Macoilin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihai225bqqgefwtps44koimyn6e24wedvazkjupnawccsbjbetqwm/metadata.json
IPFS of structure file: 
bafybeifbtvd3ilz24ekwdljfnafjezomr4bmitgfi7yr3nblibjy55dy4i/AF-Q2TLY2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30d872b97D5A8BBB2071246F96F833576bC307D1
First NFT owner address (bech32): 
genesis1xrv89wtat29mkgr3y3hed7pn2a4uxp73ejvvak
Current NFT ID #223270 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
223270
Accession (UniProt):
Q2TLY2
Name::
Macoilin-1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q2TLY2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2TLY2|MACO1_DANRE Macoilin-1 OS=Danio rerio OX=7955 GN=Maco1a PE=2 SV=1 MKRRNADCSKLRRPLKRNRITEGIHSSTFLYLKFLVVWALVLLADFVLEFRFEYLWPFWLFIRSVYDSFRYQGLAFSVFFVCVAFTSDIICLLFIPKQWLFFAASTYVWVQYVWHTERGVCLPTVSLWILFVYIEAAIRFKDLKHFHVDLCRPFAAHCIGYPVVTLGFGFKSYVSYKMRLRKQKEVQKENEFYMQLLQQALPPEQQMLQRQERETEEATSKGMSEADSVLVAQNGTAINKKLPISLPELEYKEKGKDSAKDKKQQQHSIGINNNILQTVDAKLQDIEYMENHLNAKRLNNELGGSAENLFLKEEVGAGGGSAPSKHYKNSSPRSHNSTNGSVPSSSSNRSDKKQKCTGKNLAPHRDLMENCIPNNQLSKPDALVRLEQDIKKLKADLQASRQVEQDLRSQISSLSSAERSMRSELGQLRQENELLQNKLHNAVQAKQKDKQTIVQLEKRLKAEQEARAAVEKQLAEEKKRKKMEEATAARAVALAAASRGECTDSLKSRIRELESECKKLTHDMKLKEEQIRELELKAQELHKYKENEKDTEVLMSALSAMQDKTQHLENSLSAETRIKLDLFSALGDAKRQLEIAQGQILQKEQEIKELKQKIAEVMAVMPSITYSAETNNMTPVTPHYSSKFMDTSPSSLDPNASVYQPLKK