P02167 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifibniqsmjulbiaqgv74ss53ur3o5kjkkq6xgnqlgxngw3wf2kihe/metadata.json
IPFS of structure file: 
bafybeie6cgti3z5ppyfexgdfjxv37enogpo5gayacf5jlbhvnum623sive/AF-P02167-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0C565B44183A2EdEAd47c93586302667F007a919
First NFT owner address (bech32): 
genesis1p3t9k3qc8ghdat28ey6cvvpxvlcq02geue8x4l
Current NFT ID #255295 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
255295
Accession (UniProt):
P02167
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
Nycticebus coucang

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 P02167 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02167|MYG_NYCCO Myoglobin OS=Nycticebus coucang OX=9470 GN=MB PE=1 SV=2 MGLSDGEWQSVLNVWGKVEADLAGHGQEILIRLFTAHPETLEKFDKFKNLKTPDEMKASEDLKKHGVTVLTALGGILKKKGQHEAEIKPLAQSHATKHKIPVKYLEFISGAIIHVLQSKHPGDFGADAQGAMSKALELFRNDIAAKYKELGFQG