Q63G97 AF NFT

UPF0229 protein BCE33L0458

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic23wuqotqsazf2olamt2xis7t7pmhqmxfglej7wvbdb6jjklm5si/metadata.json
IPFS of structure file: 
bafybeibzto237u3h543ejhrodye7reciryn4rqfr3hkxvuwz3go5e3h3jy/AF-Q63G97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #517860 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
517860
Accession (UniProt):
Q63G97
Name::
UPF0229 protein BCE33L0458
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 Q63G97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63G97|Y458_BACCZ UPF0229 protein BCE33L0458 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L0458 PE=3 SV=1 MGEENQPNYTISQENWSLHRKGYDDQQRHQEKVQEAIKNNLPDLVTEESIVMSNGKDVVKIPIRSLDEYKIRYNYDKNKHVGQGNGDSKVGDVVARDGSGGQKQKGPGKGQGAGDAAGEDYYEAEVSILELEQAFFKELELPNLKRKEMDENRIEHVEFNDIRKTGLWGNIDKKRTMISAYKRNAMRGKASFHPIHQEDLKFRTWNEVLKPDSKAVVLAMMDTSGSMGIWEKYMARSFFFWMTRFLRTKYETVDIEFIAHHTEAKVVPEEEFFSKGESGGTICSSVYKKALELIDNKYSPDRYNIYPFHFSDGDNLTSDNARCVKLVEELMKKCNMFGYGEVNQYNRHSTLMSAYKNIKDENFRYYILKQKADVFHAMKSFFREESGEKMA