Q14IJ3 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigs7nc2ko22ch2rtiophrhcwl2awll6lidrcs25yrwr6qvn25mbnq/metadata.json
IPFS of structure file: 
bafybeiakoh7hshpydwyztsj3dktq5houlqpnqcyo6nhvca2b6ggyllbhee/AF-Q14IJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x530483e256322e793FD6db9fDe7C0068338f61A8
First NFT owner address (bech32): 
genesis12vzg8cjkxgh8j07kmw0aulqqdqec7cdgsxlfh0
Current NFT ID #168923 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
168923
Accession (UniProt):
Q14IJ3
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
FRANCISELLA TULARENSIS SUBSP. TULARENSIS (STRAIN FSC 198)

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 Q14IJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q14IJ3|HFQ_FRAT1 RNA-binding protein Hfq OS=Francisella tularensis subsp. tularensis (strain FSC 198) OX=393115 GN=hfq PE=3 SV=1 MSRISSLQDPFLNALRKEKVSVSVYLVNGIKLQGQVEAFDQFCIVLRNTVNQMVYKHAISTIVPAKSVRMIYNSFNPYHQNSNDEQDENVDDIHSDDLEIQENEGNIHE