B9J0B4 AF NFT

UPF0173 metal-dependent hydrolase BCQ_4418

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxtxvg6pucrj5swlyjsp2u5rfbloyootferrqs3ighxu3sdl5i34/metadata.json
IPFS of structure file: 
bafybeicypckwdv4cz3ggpk3skdnqq6abeeusru7uyafp7skiflaitt5cle/AF-B9J0B4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01e3c8dae821844D1746b8af2984AbeaEaFbE719
First NFT owner address (bech32): 
genesis1q83u3khgyxzy696xhzhjnp9tat40hece0q0q4u
Current NFT ID #517555 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
517555
Accession (UniProt):
B9J0B4
Name::
UPF0173 metal-dependent hydrolase BCQ_4418
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9J0B4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9J0B4|Y4418_BACCQ UPF0173 metal-dependent hydrolase BCQ_4418 OS=Bacillus cereus (strain Q1) OX=361100 GN=BCQ_4418 PE=3 SV=1 MKVSYHGHSVVKIETNGKVMLIDPFLTGNPKTDLKAEDVKVDAILLSHGHGDHVGDTVELAKKNNAVVVAPFELATFLSWQGVKTHPMHIGGSHEFDFGKVKFTQAFHGSSYIDEENKTITYTGMPAGILFTAEEKTLYHAGDTALFSDMKLIGELNNVDVAFLPIGDNFTMGPEDAVLAAKWVQAKTVVPMHYNTFPVIEQDPYQFVEKLQNCTGKVLEAGESITL