P63113 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeich4ahyywhbkluhktonxmda2emvs3e6qe2d64rqyghcyypmeuzohu/metadata.json
IPFS of structure file: 
bafybeie7kx3paxcq7ozskk7lnpvnsnn66gsobxg5uojvakijmqxfqvl6cm/AF-P63113-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE9F57a3d4309Bf38514229Fce9463e130999cA02
First NFT owner address (bech32): 
genesis1a86h502rpxlns52z987wj337zvyenjsz794jvw
Current NFT ID #255240 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255240
Accession (UniProt):
P63113
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 P63113 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P63113|MYG_CANLF Myoglobin OS=Canis lupus familiaris OX=9615 GN=MB PE=1 SV=2 MGLSDGEWQIVLNIWGKVETDLAGHGQEVLIRLFKNHPETLDKFDKFKHLKTEDEMKGSEDLKKHGNTVLTALGGILKKKGHHEAELKPLAQSHATKHKIPVKYLEFISDAIIQVLQSKHSGDFHADTEAAMKKALELFRNDIAAKYKELGFQG