Q7W6Q2 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihe6nr4z6e2w6l6l743glqn2x5yi6wprbnrhjqewtyts7fbqh4gce/metadata.json
IPFS of structure file: 
bafybeiawv6modpenrw5me4rdbriljs7fzxm764atjrha2ulmlcd5mivyra/AF-Q7W6Q2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD8F3D068a9DC758Bf81Ccd312cF842A9701dc5a7
First NFT owner address (bech32): 
genesis1mreaq69fm36ch7que5cje7zz49cpm3d8gtlxse
Current NFT ID #168815 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
168815
Accession (UniProt):
Q7W6Q2
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W6Q2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W6Q2|HFQ_BORPA RNA-binding protein Hfq OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=hfq PE=3 SV=1 MSNKGQTLQDPFLNTLRKEHVPVSIYLVNGIKLQGQIESFDQYVVLLRNTVTQMVYKHAISTVVPARAVNFQVEVPAE