Q0HMN9 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvmg5b5cbffimm2jgf2xfrhbczvkva4vlx2q7brem243zpephp6a/metadata.json
IPFS of structure file: 
bafybeihqpscanenvpnpxfex7yonpayrju3dk6h7k2ny6446kezc2zq2ju4/AF-Q0HMN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x079259f5Fd4eeDe65D1d953dAFA16Bf9e3204575
First NFT owner address (bech32): 
genesis1q7f9na0afmk7vhgaj576lgttl83jq3t4wyg4vl
Current NFT ID #169081 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169081
Accession (UniProt):
Q0HMN9
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-4)

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 Q0HMN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HMN9|HFQ_SHESM RNA-binding protein Hfq OS=Shewanella sp. (strain MR-4) OX=60480 GN=hfq PE=3 SV=1 MAKGQSLQDPFLNALRRERVPVSIYLVNGIKLQGQVESFDQFVILLKNTVSQMVYKHAISTVVPARPFNVAGHQNAQGGYGAQDDMPSGE