Q1CEF5 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5cyw2jcltvzua5q42ecdd3hwfps3a52vdlw5deolct7x3rs6gqy/metadata.json
IPFS of structure file: 
bafybeie3apx6a4lzmctwhh5cr2v2jdmmowguoxjduluo4igy427hefb34m/AF-Q1CEF5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA32Fdfbad4dfbdC07f57d6Aa6C5862EDA88D0Ec3
First NFT owner address (bech32): 
genesis15vhalwk5m77uql6h664xckrzak5g6rkrwkgxdp
Current NFT ID #169138 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169138
Accession (UniProt):
Q1CEF5
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CEF5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CEF5|HFQ_YERPN RNA-binding protein Hfq OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=hfq PE=3 SV=1 MAKGQSLQDPFLNALRRERVPVSIYLVNGIKLQGQVESFDQFVILLKNTVSQMVYKHAISTVVPSRPVSHHSNTPSGSTNNYHGSNPSAPQQPQQDSDDAE