P64772 Uncharacterized protein Mb0980 MolNFT, Molecular NFT on GenesisL1

Uncharacterized protein Mb0980

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeievg2yaqecwanbed74ritp5ctowphc6acbk2c6vvnmkaasmvjwaca/metadata.json

IPFS of structure file:

bafybeibr5szpafwymqyxmz6ct7h3uhuaevxvg4nniwu4p2v4rii42xvcsm/AF-P64772-F1-model_v2.pdb

First NFT owner address (eip-55):

0xF735868Ed28047cF23BA5d3456038A2327881C43

First NFT owner address (bech32):

genesis17u6cdrkjspru7ga6t569vqu2yvncs8zr7dfejp

Current NFT ID #523342 owner (web3):

0xA2ED127c7DF83E1D9Fa8D7c517410A1D4A5B70F5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523342
Accession (UniProt):
P64772
Name::
Uncharacterized protein Mb0980
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 P64772 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64772|Y980_MYCBO Uncharacterized protein Mb0980 OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=BQ2027_MB0980 PE=4 SV=1 MNRVSASADDRAAGARPARDLVRVAFGPGVVALGIIAAVTLLQLLIANSDMTGAWGAIASMWLGVHLVPISIGGRALGVMPLLPVLLMVWATARSTARATSPQSSGLVVRWVVASALGGPLLMAAIALAVIHDASSVVTELQTPSALRAFTSVLVVHSVGAATGVWSRVGRRALAATALPDWLHDSMRAAAAGVLALLGLSGVVTAGSLVVHWATMQELYGITDSIFGQFSLTVLSVLYAPNVIVGTSAIAVGSSAHIGFATFSSFAVLGGDIPALPILAAAPTPPLGPAWVALLIVGASSGVAVGQQCARRALPFVAAMAKLLVAAVAGALVMAVLGYGGGGRLGNFGDVGVDEGALVLGVLFWFTFVGWVTVVIAGGISRRPKRLRPAPPVELDADESSPPVDMFDGAASEQPPASVAEDVPPSHDDIANGLKAPTADDEALPLSDEPPPRAD

P64772 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P64772 research and analysis (ICN3D with VR)

FASTA sequences

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