E4UPZ6 AF NFT

Inactive metallocarboxypeptidase ECM14

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7mbivmm3ib4iywig4em6dxszudyi4pwndlo2ve5dbqul5zg5qru/metadata.json
IPFS of structure file: 
bafybeig63qbnevusebbw2bsjxvuxpkvtaguwbqclkc3xfx6ddm6nr7me2q/AF-E4UPZ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0FAc74Bf23fFf003DE1B308Db5D5D92f90E0bFbd
First NFT owner address (bech32): 
genesis1p7k8f0erllcq8hsmxzxmt4we97gwp0aamagj2e
Current NFT ID #109876 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
109876
Accession (UniProt):
E4UPZ6
Name::
Inactive metallocarboxypeptidase ECM14
Experimental Method:
Predicted structure
Sequence source:
Arthroderma gypseum (strain ATCC MYA-4604 / CBS 118893)

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 E4UPZ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E4UPZ6|ECM14_ARTGP Inactive metallocarboxypeptidase ECM14 OS=Arthroderma gypseum (strain ATCC MYA-4604 / CBS 118893) OX=535722 GN=ECM14 PE=3 SV=1 MHFSVRLSLLLTLASSLPLVSAIPQHEDQAYTFPSPGRSATANTDPVLEVGRETQRTPSAWTRLRDSLVESVWGLPQRKEGGEWRTRNQVTTASRAPATLQARYGEDVVLRFTIKTQEEVKALVEASNILFLDVWGSHDDWVDIRLSRDVIPSLLGLLPPSLQSSHVPLIRDLAQTIYESYPKTNPSSPSQQGPTTRRFSPSASTSKTKPQETKNIFFQDYQPLSVLLPWMRLLVSMFSSHATLISVGTTAEGRDIPALRVGVHPTNNAQQAPRRRTIVISGGAHAREWISVSTVSYIAYSFITGYGKSRSITKLLEQFDYVFIPTVNPDGYAYTFSTDRLWRKNRQQTSLSFCPGIDLDHSWGYEWDGNATRSNPCSENYAGDQPFEAIEAREIATWARKEVTVNNVQFVAFVDLHSYSQQILYPYGHSCAHLPANLENLEELGAGLAKAIRKTSRENYDVKAACRGIVASSMGDKDADEAVTSSALESTAGSALDWFYHDMDVRFSYQIKLRDRGSYGFLLPREQIVPTGKEIYRAMVAMGKFLVSPHILTGDLNGPHAAEETQNYDDDFEEDEAEEDSDVFRAQGDDMSS