Q817E2 AF NFT

UPF0173 metal-dependent hydrolase BC_4613

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigonphijd3m6qog7jpshjymosd3vn4wya7om47kaqzcnorjriyysy/metadata.json
IPFS of structure file: 
bafybeidrdrg72lezyot7x6v6gileta5x4dcu6c5ozcbbaoo3yxokblb34u/AF-Q817E2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0CC4140Ba225D530b2DC080d22627144DEBB1186
First NFT owner address (bech32): 
genesis1pnzpgzazyh2npvkupqxjycn3gn0tkyvx4m40qh
Current NFT ID #517899 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
517899
Accession (UniProt):
Q817E2
Name::
UPF0173 metal-dependent hydrolase BC_4613
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q817E2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q817E2|Y4613_BACCR UPF0173 metal-dependent hydrolase BC_4613 OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=BC_4613 PE=3 SV=1 MKVSYHGHSVVKIEANGKVILIDPFLTGNPKTDLKTEDVKVDAILLSHGHGDHVGDTVELAKKNNAVVVAPFELATFLSWQGVNTHPMHIGGSHEFDFGKVKFTQAFHGSSYIDEENKTITYTGMPAGILFTAEEKTVYHAGDTALFSDMKLIGELNKVDLAFLPIGDNFTMGPEDAVLAAKWINAKTVVPMHYNTFPVIEQDPYQFVEKLQNCTGKVLEAGESITL