P64764 AF NFT

Uncharacterized protein Mb0967

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiccpljgekl7tdna5blwnbo77u32h3cc7b4pgoqfelmf6nzrxky5o4/metadata.json
IPFS of structure file: 
bafybeideol2y2ug2ca5vhy5qooz4vdpibangku5m5p5ev2gc6wxattfiqq/AF-P64764-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #523240 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523240
Accession (UniProt):
P64764
Name::
Uncharacterized protein Mb0967
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 P64764 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64764|Y967_MYCBO Uncharacterized protein Mb0967 OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=BQ2027_MB0967 PE=4 SV=1 MGRSATIAMVPKRRDAMNRHSGPILSSGFIASSSNSCPANSLRMPSALAAETLSFDDRAVRRSTHHPGGGYPQKHAINLQSGLCPAYANASR