Q63GA7 AF NFT

UPF0295 protein BCE33L0445

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidm3fyx72fmxkmm3cuj5427aleffpi5erpi2rlqnggicxu5srfukq/metadata.json
IPFS of structure file: 
bafybeidpwvprntz7xwbmjqfqctc4tlit6r4pgqtzugldmvxqibwb7lwtfa/AF-Q63GA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x942A92ee72eC160e5F130822A2087F929bD89118
First NFT owner address (bech32): 
genesis1js4f9mnjastquhcnpq32yzrlj2da3ygca02zzg
Current NFT ID #517640 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
517640
Accession (UniProt):
Q63GA7
Name::
UPF0295 protein BCE33L0445
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 Q63GA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63GA7|Y445_BACCZ UPF0295 protein BCE33L0445 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L0445 PE=3 SV=1 MSIKYSNKINKIRTFALSLVFIGLFIAYLGVFFRENIIIMTTFMMVGFLAVIASTVVYFWIGMLSTKTVQIICPSCDKPTKMLGRVDACMHCNQPLTMDRNLEGKEFDEKYNKKSYKA