E3QCU0 AF NFT

Probable Xaa-Pro aminopeptidase P

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdy77b6etthopdtdr227yiqvgqgqi4blrkt4a2dndcofpljvfohy/metadata.json
IPFS of structure file: 
bafybeicu26eu6wfayfvyyepsltjbo34s7ebxplvarkp7ztidpwzlht5hky/AF-E3QCU0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #15547 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
15547
Accession (UniProt):
E3QCU0
Name::
Probable Xaa-Pro aminopeptidase P
Experimental Method:
Predicted structure
Sequence source:
COLLETOTRICHUM GRAMINICOLA (STRAIN M1.001 / M2 / FGSC 10212)

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 E3QCU0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E3QCU0|AMPP1_COLGM Probable Xaa-Pro aminopeptidase P OS=Colletotrichum graminicola (strain M1.001 / M2 / FGSC 10212) OX=645133 GN=AMPP PE=3 SV=1 MERIDTTGRLSRLRELMKERNVDVYVIPSEDSHASEYIAGCDARREFISGFSGSAGCAVVTLDKAALATDGRYFNQASKQLDQNWLLLKQGLQDVPTWQEWSAEQSAGGKVVGVDPELITGSIAKKLTEKVKRSGGSDLVPLDENLVDLVWAEARPARPKNPIKVLPEKFSGKDVKTKLKELRQELDRKNSRAFVVSMLDEIAWLFNLRGDDIPYNPVFFSYAIITSDSATLYVDASKLGEETRAYLADNDVCVKPYDIVFDSINTLRSSDTSCQTTSGVSSKRFMISTKASWALKRSLGGDSQVDEVRSPIGDSKAVKNKSEMAGMRACHIRDGAALIEYFAWLEDQLVAKKVKLDEVQAADKLEQLRSKQKDYVGLSFDTISSTGANAAVIHYKPERGACSIIDPTAIYLCDSGAQYLDGTTDTTRTLHFGQPTEAEKLAYTLVLKGNIALDTAIFPKGTTGFAIDCLARQHLWKEGLDYRHGTGHGVGSYLNVHEGPIGIGTRVQFAEVALAPGNVLSIEPGFYEDGSYGIRIENVAMVTEVKTKHSFGDKPYLGFEHVTMVPYCRNLIEPNLLTAEEKAWLNAHHADILQKTKGYFQDDPLTMTWLARETQPL