Q9RN17 AF NFT

Uncharacterized protein pXO2-15/BXB0014/GBAA_pXO2_0014

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4b55wm3v2alxz5naoeitatfpqgbfvplccmzrspi75t7qkjkuw6a/metadata.json
IPFS of structure file: 
bafybeib7m2yutue3mxo73cntcz26xmnhx33jdecvgxodsqo2n4f7czojka/AF-Q9RN17-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #520546 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520546
Accession (UniProt):
Q9RN17
Name::
Uncharacterized protein pXO2-15/BXB0014/GBAA_pXO2_0014
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 Q9RN17 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RN17|Y6514_BACAN Uncharacterized protein pXO2-15/BXB0014/GBAA_pXO2_0014 OS=Bacillus anthracis OX=1392 GN=pXO2-15 PE=4 SV=2 MLFNLVLQSYSQIEKLYDKEATEIKDNCQNHIYIMSTNKDTIEEISHRAGHKTVIGKSSNESHLETDNKITKNADQQRIISPERLAQFIEGETLLLRALHRQDLKRKKVRAYPILNTRETSMPYRWQFLGKDFDTSKDLNEIDIPSLHTGLDLTDLYLNFLDFIVNPVAKKEYIKKQQSNPVVKTEPIDINEIIKALIGLVKEKRNRNNSEDIQKRLVQMLLDYATDTIFPKTEEVEFLIEHSSDNEMKRHLEKLLDMLKKIDLKLGGKVEK