P0CI64 AF NFT

Uncharacterized protein ATEG_07673.1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3fhcojijro4unbh2vrwbc7aydmx4ywkhyff562bvscackhwyx5m/metadata.json
IPFS of structure file: 
bafybeibsb4o27kwiwp4wkwgknmn2pxzf4enhd3hicx4jctdgbdlc7roqh4/AF-P0CI64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7025bA95cbd795796733105284DD3E7B741Ab901
First NFT owner address (bech32): 
genesis1wqjm49wt672hjeenzpfgfhf70d6p4wgp99rgvp
Current NFT ID #293294 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
293294
Accession (UniProt):
P0CI64
Name::
Uncharacterized protein ATEG_07673.1
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 P0CI64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CI64|PEP2_ASPTN Uncharacterized protein ATEG_07673.1 OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=ATEG_07673.1 PE=3 SV=1 MPDLHTLPAGSRPERAIRNNGPSDLALERYKLRELAEGWPCYRDACEWENLRSIFHPDAHIYTTWTGLTHHLQFIEASKTGMDNGVFIMHRIHGSTTDIDPSGVRAVTKMKATITQRFSGLPCVSGGTCEADAESDCRFIFFWEKLDGSEYPELDQQWRARFVRHWYEKDKLIAVTAGRDPVIDLEKLQQYPPGYRHLAYLQESTMGVKVLLDLPGHRREGSTVNGQKHDLFQEYPMLHGCNSYKDNRGFPTTLKSIALREIRMKYLFDVI