A5I9G0 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnnxu7v46pqcvv3zpnjhx2pbfhw6twuacgcks3fw24wph77wcf3u/metadata.json
IPFS of structure file: 
bafybeidjn4obpxjvjp33d3rgruunwapmxl4enxrpru7hi4y7oopcvzxvzm/AF-A5I9G0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x380F4C021CE17d70f3CC9D2B58C6c7D60cC516CA
First NFT owner address (bech32): 
genesis18q85cqsuu97hpu7vn54433k86cxv29k2jns05t
Current NFT ID #168956 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168956
Accession (UniProt):
A5I9G0
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Legionella pneumophila (strain Corby)

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 A5I9G0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5I9G0|HFQ_LEGPC RNA-binding protein Hfq OS=Legionella pneumophila (strain Corby) OX=400673 GN=hfq PE=3 SV=1 MSKNHLLQDPFLNELRKEKVPVSVFLVNGIKLHGIIDSFDQYVVMLKNSITQMVYKHAISTVVPSRMVKIPAEESSGEEEGTVAD