Q7VWL6 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibr77ny6jn3kg2vf74vadryu4bhlhovz27ciybujz5o4dngrqhrie/metadata.json
IPFS of structure file: 
bafybeiakdtskp4ql7kmjko7yaiolqm7xzyrbtc2cssvm2wmugbh25rxwli/AF-Q7VWL6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3585a7211e5A6fD4E35fc8EBAe71C7dC52c7d56b
First NFT owner address (bech32): 
genesis1xkz6wgg7tfhafc6ler46uuw8m3fv04ttlsys30
Current NFT ID #168817 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
168817
Accession (UniProt):
Q7VWL6
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VWL6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VWL6|HFQ_BORPE RNA-binding protein Hfq OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=hfq PE=3 SV=1 MSNKGQTLQDPFLNTLRKEHVPVSIYLVNGIKLQGQIESFDQYVVLLRNTVTQMVYKHAISTVVPARAVNFQVEVPAE