Q0AYA9 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfh542fhs663n7zdwyaiwc764lul4ddd7e2twzhy645xo4rtoea4/metadata.json
IPFS of structure file: 
bafybeia53gmwjjuq6ljxzd3xolzqwrq4y2rtetprfvppm3v5litmv2gf4m/AF-Q0AYA9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xea9f5858064346e9f9d471d9b68B63FAeCE0379C
First NFT owner address (bech32): 
genesis1a204skqxgdrwn7w5w8vmdzmrltkwqduuttcmx0
Current NFT ID #169097 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
169097
Accession (UniProt):
Q0AYA9
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
SYNTROPHOMONAS WOLFEI SUBSP. WOLFEI (STRAIN DSM 2245B / GOETTINGEN)

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 Q0AYA9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0AYA9|HFQ_SYNWW RNA-binding protein Hfq OS=Syntrophomonas wolfei subsp. wolfei (strain DSM 2245B / Goettingen) OX=335541 GN=hfq PE=3 SV=1 MSKSQINLQDAFLNQVRKDKIPVTVFLVNGFQIKGMVRGFDNFTVIIEVDQKQQLVYKHAISTVAPLRPISMLNLEAKSDDD