Q9RMW0 AF NFT

Uncharacterized protein pXO2-74/BXB0102/GBAA_pXO2_0102

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigau55ppnupymxa5gcuhstbgnyyahdfs6ecmkszhihd4dqzbjvy4e/metadata.json
IPFS of structure file: 
bafybeic7mw5aibxi3eqyz5hrqld7ne34qisrv23vl3oae4fllsdjggtjfu/AF-Q9RMW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a518D7f85eD490B16cdD47CeC359Ccb050F802E
First NFT owner address (bech32): 
genesis1pfgc6lu9a4ysk9kd637wcdvuevzslqpwg9q2ut
Current NFT ID #520650 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520650
Accession (UniProt):
Q9RMW0
Name::
Uncharacterized protein pXO2-74/BXB0102/GBAA_pXO2_0102
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 Q9RMW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RMW0|Y6602_BACAN Uncharacterized protein pXO2-74/BXB0102/GBAA_pXO2_0102 OS=Bacillus anthracis OX=1392 GN=pXO2-74 PE=4 SV=1 MSTEKLYSTADLAEELEMTKQGMNQAVKAGRIEAPAYYIGAYKGWTEEQVERIKGKIYEKEQEIKDIVRCIPYGLTPSGSEYLKHNPELALKYLEQAIKECENEMEKVINSDDKKYIGMDIFVGSCKERFEQIRDNLTRNSKNNS