O73727 AF NFT

Insulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigh37gnfucmly4n6a6fporvinaygnbpqqadyd7ev46aczupryzo3u/metadata.json
IPFS of structure file: 
bafybeifrkg6sqhwfgh55dbritc4azuq6j2rkahlrayzftf3kmqo7lexdaq/AF-O73727-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29f928A539587e32C04DF7AaE14EcA8425395917
First NFT owner address (bech32): 
genesis198uj3ffetplr9szd774wznk2ssjnjkghhuftmg
Current NFT ID #190522 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
190522
Accession (UniProt):
O73727
Name::
Insulin
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 O73727 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O73727|INS_DANRE Insulin OS=Danio rerio OX=7955 GN=ins PE=3 SV=1 MAVWLQAGALLVLLVVSSVSTNPGTPQHLCGSHLVDALYLVCGPTGFFYNPKRDVEPLLGFLPPKSAQETEVADFAFKDHAELIRKRGIVEQCCHKPCSIFELQNYCN