P0C0R4 AF NFT

Lipase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigm3r5sz727x5luslvkjfamgpz5byzl6w3eqge42mafvjmozbpr7i/metadata.json
IPFS of structure file: 
bafybeicqf2gdesmkgvqtefxyd7t2nfjn2iws7vmqhsauso47cpr6i4indi/AF-P0C0R4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x09DE4AAEB85d3D0679f6dB486Eff63b5c3a841aB
First NFT owner address (bech32): 
genesis1p80y4t4ct57sv70kmdyxalmrkhp6ssdt5y9zww
Current NFT ID #215188 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215188
Accession (UniProt):
P0C0R4
Name::
Lipase
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 12228 / FDA PCI 1200)

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 P0C0R4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0R4|LIP_STAES Lipase OS=Staphylococcus epidermidis (strain ATCC 12228 / FDA PCI 1200) OX=176280 GN=lip PE=3 SV=1 MKTRQNKYSIRKFSVGASSILIAALLFMGGGSAQAAEQQQDKGTVENSTTQSIGDGNEKLSEQQSTQNKNVNEKSNVNSITENESLHNETPKNEDWIQQQKDSQNDNKSESVVEQNKENEAFVQNHSEEKPQQEQVELEKHASENNQTLHSKAAQSNEDVKTKPSQLDNTAAKQEDSQKENLSKQDTQSSKTTDLLRATAQNQSKDSQSTEEINKEVNNDTQQVTAKNDDAKVESFNLNSKEEPLKVDKQANPTTDKDKSSKNDKGSQDGLANLESNAVATTNKQSKQQVSEKNEDQTNKSAKQKQYKNNDPIILVHGFNGFTDDINPSVLTHYWGGDKMNIRQDLEENGYEAYEASISAFGSNYDRAVELYYYIKGGRVDYGAAHAAKYGHERYGKTYEGVYKDWKPGQKIHLVGHSMGGQTIRQLEELLRHGNPEEVEYQKQHGGEISPLYQGGHDNMVSSITTLGTPHNGTHASDLLGNEAIVRQLAYDVGKMYGNKDSRVDFGLEHWGLKQKPNESYIQYVKRVQNSKLWKSKDSGLHDLTRDGATDLNRKTSLNPNIVYKTYTGESTHKTLAGKQKADLNMFLPFTITGNLIGKAKEKEWRENDGLVSVISSQHPFNQKYVEATDKNQKGVWQVTPTKHDWDHVDFVGQDSTDTKRTRDELQQFWHGLAEDLVQSEQLTSTNK