D4AKU7 AF NFT

Inactive metallocarboxypeptidase ECM14

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibaofogbbnpyydzb4pl6fgfzbf3ppueedxzn5uhneyycfetdhwase/metadata.json
IPFS of structure file: 
bafybeiae3ljkfcxo7d7pusdbbvcqf3xktwcrcm2bpupawedn5h6axqqhwa/AF-D4AKU7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x69fe6F117F2a7A69d08092045a94492C55E403eC
First NFT owner address (bech32): 
genesis1d8lx7ytl9faxn5yqjgz949zf9327gqlv08euk6
Current NFT ID #109875 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
109875
Accession (UniProt):
D4AKU7
Name::
Inactive metallocarboxypeptidase ECM14
Experimental Method:
Predicted structure
Sequence source:
Arthroderma benhamiae (strain ATCC MYA-4681 / CBS 112371)

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 D4AKU7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D4AKU7|ECM14_ARTBC Inactive metallocarboxypeptidase ECM14 OS=Arthroderma benhamiae (strain ATCC MYA-4681 / CBS 112371) OX=663331 GN=ECM14 PE=3 SV=1 MHFSVRLSLFLTLASSLPLVSAVPQHEDQAYTFSSSGRSAATDTDPALEVRQETQRTPSAWTRLRDSLVESVWGLPQRSEGCESRPRNRAKTVSRAPATLQARYGEDVVLRFTIKNQEEVKALVEASNILFLDVWGSHDDWVDIRLSRDVIPSLLGLLPPSLQTSHVPLIRDLAQTIYESYPKAGSASPSQQGPTTRRFSPSASTSKSKPHETKNIFFQDYQPLSVLLPWMRLLVSMFSSHTTLISVGTTAEGRDIPALRVGVHPTNNAQQAPRRRTIVISGGTHAREWISVSTVSYIAYSFITGYGKSKSITKLLEQFDYVFIPTVNPDGYAYTFSTDRLWRKNRQQTSLSFCPGIDLDHSWGYEWDGNATRSNPCSESYAGDQPFEAVEAREIASWARNEVTVNNVHFVAFVDLHSYSQQILYPYGHSCAHLPANLENLEELGAGLAKAIRKSSRENYDVKAACRGIVASCTGDKDADEPATSSALESTAGSALDWFFHDLDVRFSYQIKLRDRGSYGFLLPREHIVPTGKEIYRAMVAMGKFLVSPHVLEEDIDGLRASEEPQDYDNDLEDGEDDKDEQGSTVFRAQADDLQS