Q9PH57 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiax3no24nhf7fwsecrcvbihcuoalkdv2yz4u2y7lphkopyobea33i/metadata.json
IPFS of structure file: 
bafybeiepokbwxylycm7q6v2sfvijo6qummeho2jkqgg46ukcfx6g4j5cvi/AF-Q9PH57-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa061E7856E358859183c372f1C6C510d7B387268
First NFT owner address (bech32): 
genesis15ps70ptwxky9jxpuxuh3cmz3p4ansungehsk9m
Current NFT ID #169128 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169128
Accession (UniProt):
Q9PH57
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PH57 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PH57|HFQ_XYLFA RNA-binding protein Hfq OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=hfq PE=3 SV=1 MAKGQSLQDPFLNALRRERVPVSIYLVNGIKLQGTIESFDQFVVLLRNTVSQMVYKHAISTVVPARNVRVGPGGGYVQSGSDTLQINDDEVE