Q63AN7 AF NFT

Putative metal-dependent hydrolase BCE33L2441

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiayvcqdu3ybwwyjmgkxy6imi4mi33edwam2dvnemys7miiorfe7ui/metadata.json
IPFS of structure file: 
bafybeidurmv4udbolxwb5pkx36g2cxsxnhlxhdfqtmpopyo5ooentk6es4/AF-Q63AN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFfa14EF9812cbceCFF953A0e1f923941F78cc638
First NFT owner address (bech32): 
genesis1l7s5a7vp9j7welu48g8ply3eg8mce33cpxjfa5
Current NFT ID #512400 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
512400
Accession (UniProt):
Q63AN7
Name::
Putative metal-dependent hydrolase BCE33L2441
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 Q63AN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63AN7|Y2441_BACCZ Putative metal-dependent hydrolase BCE33L2441 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L2441 PE=3 SV=1 MNDLRYPIGQFTYKRPITEEMIDTWIQEIEDLPNELTKAIKDLDQKQLDTPYRVGGWTVRQVVHHVVDSHMNSYIRFKLALTEKNPTIKPYKEEKWAELPDSKLPVDVSLVMLDSLHKRWVNLLYSLELEDLEKTFNHPDTGETKLAAAIGLYAWHGRHHTAHITSLRKRLNW