Q737C1 AF NFT

Putative metal-dependent hydrolase BCE_2729

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibx4swsxar76ppxzucbp62ob6thyqwkin5r5uinncrpoo6pc54hzi/metadata.json
IPFS of structure file: 
bafybeifxkm4ffif3oypznwbt725nxnjt34i36yulfe6czoyducomvvp5cy/AF-Q737C1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #513467 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
513467
Accession (UniProt):
Q737C1
Name::
Putative metal-dependent hydrolase BCE_2729
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 Q737C1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q737C1|Y2729_BACC1 Putative metal-dependent hydrolase BCE_2729 OS=Bacillus cereus (strain ATCC 10987 / NRS 248) OX=222523 GN=BCE_2729 PE=3 SV=1 MNDLRYPIGQFTYKRPITEEMIDTWIQEIEDLPNELTKAIKDLDQKQLDTPYRVGGWTVRQVVHHVVDSHMNSYIRFKLALTEKNPTIKPYKEEKWAELPDSKLPVDVSLVMLESLHKRWVNLLYSLELEDLEKTFNHPETGETKLAVAIGLYAWHGRHHTAHITSLRKRLNW