P80015 AF NFT

Azurocidin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpem7ltwyvbtfgnu7cgg3xg7zcwmkawvbqxezzri4ppzwh5swytu/metadata.json
IPFS of structure file: 
bafybeib2ckzvc4xgcbakkz4qixrphx2fi43imuwwgj4ajjmjabaq2atx7u/AF-P80015-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #50323 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
50323
Accession (UniProt):
P80015
Name::
Azurocidin
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 P80015 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P80015|CAP7_PIG Azurocidin OS=Sus scrofa OX=9823 GN=AZU1 PE=1 SV=2 MPALRFLALLASLLATSRVGLATLADIVGGRRAQPQEFPFLASIQKQGRPFCAGALVHPRFVLTAASCFRGKNSGSASVVLGAYDLRQQEQSRQTFSIRSISQNGYDPRQNLNDVLLLQLDREARLTPSVALVPLPPQNATVEAGTNCQVAGWGTQRLRRLFSRFPRVLNVTVTSNPCLPRDMCIGVFSRRGRISQGDRGTPLVCNGLAQGVASFLRRRFRRSSGFFTRVALFRNWIDSVLNNPPA