Q79VJ4 AF NFT

Urease subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibivxrrj3iufrou4kxqswox577aq2zc5xcnumx4rnd3ch3nufv7wq/metadata.json
IPFS of structure file: 
bafybeictf463ges4gmtmiu4jhrm3vf5bzhcbca25wvtbdvzkl5xsm2n3oe/AF-Q79VJ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #490809 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
490809
Accession (UniProt):
Q79VJ4
Name::
Urease subunit beta
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025)

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 Q79VJ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q79VJ4|URE2_CORGL Urease subunit beta OS=Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025) OX=196627 GN=ureB PE=1 SV=1 MIPGEYILSSESLTGNVGREAKTIEIINTGDRPVQIGSHFHFAEVNPSISFDRSEGYGFRLDIPSGTAVRLEPGDARTVNLVAIGGDRIVAGFRDLVDGPLEDLKVNVWEGREDGWRRSSAAGDAPQELPQVEAAERGRKLDDATDVDTNVGTEEGFEEGRN