Q9YIC2 AF NFT

Congerin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamvst2c4mqskpqlha6c2v245xlu3ugopz2nhbyjvmyq66ly352bq/metadata.json
IPFS of structure file: 
bafybeidbvzwu4cyd3skuaqxilf4odiy64qo44jxogbn67vdxixqbgoslti/AF-Q9YIC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeCDf58944d8eAe177c5bd8604F42e1Cfaac85467
First NFT owner address (bech32): 
genesis1an0439zd36hpwlzmmpsy7shpe74vs4r80zfyey
Current NFT ID #209072 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
209072
Accession (UniProt):
Q9YIC2
Name::
Congerin-2
Experimental Method:
Predicted structure
Sequence source:
CONGER MYRIASTER

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 Q9YIC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9YIC2|LEG2_CONMY Congerin-2 OS=Conger myriaster OX=7943 PE=1 SV=3 MSDRAEVRNIPFKLGMYLTVGGVVNSNATRFSINVGESTDSIAMHMDHRFSYGADQNVLVLNSLVHNVGWQQEERSKKFPFTKGDHFQTTITFDTHTFYIQLSNGETVEFPNRNKDAAFNLIYLAGDARLTFVRLE