O67662 AF NFT

Uncharacterized protein aq_1793

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2rx4z3oscrk4siqaramg5l3lerj7rpj5s2mjpe3wrddwyjv2hga/metadata.json
IPFS of structure file: 
bafybeiaan3nc4y2vckiajtllcoevjvcieangwfvodnug7ft3v652u3am4u/AF-O67662-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa4785222Bbe47502ED0a362Ddab993F3F3B268aC
First NFT owner address (bech32): 
genesis153u9yg4mu36s9mg2xcka4wvn70emy69v6rl83x
Current NFT ID #509319 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509319
Accession (UniProt):
O67662
Name::
Uncharacterized protein aq_1793
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 O67662 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O67662|Y1793_AQUAE Uncharacterized protein aq_1793 OS=Aquifex aeolicus (strain VF5) OX=224324 GN=aq_1793 PE=4 SV=1 MMSPMASILMYTHFRMWKHALNVWSITLFQNFRLTAELIILFTLLNFLFLIPVMNVFAFFIHNVVNFSLIIYFSKLYLKVKGNEEEYKREIERTKLAQALKTYLPHAVTLTFATYAMTVAYLILLFVSLLILGLITGITVFTFGTDFIIAYLIFIVLLLILYFWIITSYPVFFARTVIEGQTPRDFFFLFLTAPFSKLLWKLAFSLEVLFSSFVIGFFSLFIFLFQFVMSHLFPPLFFLTYFVAFSNTLLIYLFGVISVSYLLWKREGK