P20160 AF NFT

Azurocidin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib77rprfhgzztadrsgbyujkhod7eai3vnzox47qzc4d72lmerbudm/metadata.json
IPFS of structure file: 
bafybeifknypjxonqjdycpbrp43bx6a5epxiy7zenaupt6fz7pzua2danmy/AF-P20160-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFe0F6F52e06108B713093Cf01406F947Bc410fED
First NFT owner address (bech32): 
genesis1lc8k75hqvyytwycf8ncpgpheg77yzrldspjc90
Current NFT ID #50322 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
50322
Accession (UniProt):
P20160
Name::
Azurocidin
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 P20160 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P20160|CAP7_HUMAN Azurocidin OS=Homo sapiens OX=9606 GN=AZU1 PE=1 SV=3 MTRLTVLALLAGLLASSRAGSSPLLDIVGGRKARPRQFPFLASIQNQGRHFCGGALIHARFVMTAASCFQSQNPGVSTVVLGAYDLRRRERQSRQTFSISSMSENGYDPQQNLNDLMLLQLDREANLTSSVTILPLPLQNATVEAGTRCQVAGWGSQRSGGRLSRFPRFVNVTVTPEDQCRPNNVCTGVLTRRGGICNGDGGTPLVCEGLAHGVASFSLGPCGRGPDFFTRVALFRDWIDGVLNNPGPGPA