Q72ZC1 AF NFT

UPF0173 metal-dependent hydrolase BCE_4747

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4occaicdycghy5xrjubedaallgylkc4yy725tldwcui2qveq7za/metadata.json
IPFS of structure file: 
bafybeihyb2gkxuauhdyyqu7x5gcqblmpj2sbzw7mdkkc4jonsllibxe2hm/AF-Q72ZC1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #518088 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
518088
Accession (UniProt):
Q72ZC1
Name::
UPF0173 metal-dependent hydrolase BCE_4747
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ATCC 10987 / NRS 248)

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 Q72ZC1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72ZC1|Y4747_BACC1 UPF0173 metal-dependent hydrolase BCE_4747 OS=Bacillus cereus (strain ATCC 10987 / NRS 248) OX=222523 GN=BCE_4747 PE=3 SV=1 MKVSYHGHSVVKIETNGKVILIDPFLTGNPKTDLKAEDVKVDAILLSHGHGDHVGDTVELAKKNNAVVVAPFELATFLSWQGVKTHPMHIGGSHEFDFGKVKFTQAFHGSSYIDEENKTITYTGMPAGILFTAEEKTLYHAGDTALFSDMKLIGELNNIDVAFLPIGDNFTMGPEDAVLAAKWVQAKTVVPMHYNTFPVIEQDPYQFVEKLQNCTGKVLEAGESITL