Q9RN27 AF NFT

Uncharacterized protein pXO2-05/BXB0004/GBAA_pXO2_0004

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeictqh273aj5664x2qnqvh4drqthwadua4brkkltsfd5q5rdbsec4a/metadata.json
IPFS of structure file: 
bafybeibnhco4pt3223y4xmgibd3dbyx25d553fahmwe36p4lxj5w27vxzq/AF-Q9RN27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7e0FFEEde44b37B891B739816c83d100c7a675E3
First NFT owner address (bech32): 
genesis10c8lam0yfvmm3ydh8xqkeq73qrr6va0rjas0sp
Current NFT ID #520527 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520527
Accession (UniProt):
Q9RN27
Name::
Uncharacterized protein pXO2-05/BXB0004/GBAA_pXO2_0004
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 Q9RN27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RN27|Y6504_BACAN Uncharacterized protein pXO2-05/BXB0004/GBAA_pXO2_0004 OS=Bacillus anthracis OX=1392 GN=pXO2-05 PE=4 SV=1 MSIKFWMNKEGRKPANTKRKAYLFTLGSFVTMFFVLCISPVFSGATYKFEEMKIGEYQSLSSTVKIAVAKKEYNPDNQTLRIDYELRADNDSQILSNMKYKVENKYIKQKDNNVKTKVYRASDNYIVVISENVPEEFGVVSSVVKPEYIHPELQNDVDDLKERSMKMYVLENEKLINRELKKKSKDFYEREYLAFSQQALRKEIEKKMEDKSSAMKQLKIKNEQLTKEMEYQTEGEKVKTKNTINSNESTINNHQKEIDVLKEDIKMKEKKIQLLDEKKKTI