O67614 AF NFT

Bacteriohemerythrin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehcdydl7a6qinyv6v7phnntrxdtz3ek6tjbsj3767ypcev5e5a3a/metadata.json
IPFS of structure file: 
bafybeidir67jwnldtkti6jrxaxmurkfgc24hjsyeo5d7sdsd5ovdl3xifu/AF-O67614-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa42b77e44c8e40c55Bc7cD30451A215C5d1d49d2
First NFT owner address (bech32): 
genesis15s4h0ezv3eqv2k78e5cy2x3pt3w36jwj7l06gh
Current NFT ID #168201 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168201
Accession (UniProt):
O67614
Name::
Bacteriohemerythrin
Experimental Method:
Predicted structure
Sequence source:
AQUIFEX AEOLICUS (STRAIN VF5)

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 O67614 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O67614|HEMTB_AQUAE Bacteriohemerythrin OS=Aquifex aeolicus (strain VF5) OX=224324 GN=aq_1719 PE=3 SV=1 MLIRPNKVQKVGNLFMDTVHEEEIRLLNQLYDTLMKKDVEKADQLMDELLVDLEDHFTTEEELMREFEFFAYPMHKAEHDTMRKRFKEVYDKWKKEKNPEEVVRFLKEEFVPWLKSHVARWDSTTAQQLGD