Q9RMW7 Uncharacterized protein pXO2-67/BXB0090/GBAA_pXO2_0090 MolNFT, Molecular NFT on GenesisL1

Uncharacterized protein pXO2-67/BXB0090/GBAA_pXO2_0090

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeichtu3tainvlp6vbyl634nhdhwfxymbbbokeuxq5uwgzbuqwbb3im/metadata.json

IPFS of structure file:

bafybeib7v362v3276r4c5by4o6ohm72mem6tknq344bx2xeedrnkxsl4yy/AF-Q9RMW7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6D71747Ba3BA61acAd0bA28226C08437a119C1D7

First NFT owner address (bech32):

genesis1d4chg7arhfs6etgt52pzdsyyx7s3nswhhye5ln

Current NFT ID #520639 owner (web3):

0x19F44B1773A4D9415AbF9EEbe11eFb2E99963C9F

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520639
Accession (UniProt):
Q9RMW7
Name::
Uncharacterized protein pXO2-67/BXB0090/GBAA_pXO2_0090
Experimental Method:
Predicted structure
Sequence source:
BACILLUS ANTHRACIS

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 Q9RMW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RMW7|Y6590_BACAN Uncharacterized protein pXO2-67/BXB0090/GBAA_pXO2_0090 OS=Bacillus anthracis OX=1392 GN=pXO2-67 PE=4 SV=2 MIFPLFGANVLMVVVKSVKNENKEPFFRRGLKNINTKECIVNILIICDSYIKIYNLYN

Q9RMW7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9RMW7 research and analysis (ICN3D with VR)

FASTA sequences

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