Q633I4 AF NFT

UPF0173 metal-dependent hydrolase BCE33L4354

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwy2eqw7mg3moitlclkcwn7daz2sxcbgqbveubbcwiuz4dsfh2ze/metadata.json
IPFS of structure file: 
bafybeia4xelk5amch5dv43rn6fe3loms6ifg5mqwgrzvpl65wsyhxqicii/AF-Q633I4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7d3F8Df98067F4f9E1c48c9318F80d34BF5B4923
First NFT owner address (bech32): 
genesis105lcm7vqvl60ncwy3jf337qdxjl4kjfrkndhvd
Current NFT ID #517443 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
517443
Accession (UniProt):
Q633I4
Name::
UPF0173 metal-dependent hydrolase BCE33L4354
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q633I4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q633I4|Y4354_BACCZ UPF0173 metal-dependent hydrolase BCE33L4354 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L4354 PE=3 SV=1 MKVSYHGHSVVKIETNGKVILIDPFLTGNPKTDLKAEDVNVDAILLSHGHGDHVGDTVELAKKNNAVVVAPFELATFLSWQGVNTHPMHIGGSHEFDFGKVKFTQAFHGSSYIDEENKTITYTGMPAGILFTAEEKTLYHAGDTALFSDMKLIGELNNIDVAFLPIGDNFTMGPEDAVLAAKWVQAKTVVPMHYNTFPVIEQDPYQFVEKLQNCTGKVLEAGESITL