Q67NL2 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecbyinmsm6muvyxurr6dglafpxnfvpqheiqnzyoz2i77oyo53qwi/metadata.json
IPFS of structure file: 
bafybeia7li4vh5jf6vcumyayesgfjfauy3722tvmzrs7nhcq6ic4k5mjla/AF-Q67NL2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #169096 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
169096
Accession (UniProt):
Q67NL2
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67NL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67NL2|HFQ_SYMTH RNA-binding protein Hfq OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=hfq PE=3 SV=1 MTKASASLQDGFLNLLRRENIPATIYLVNGYQLKGYIRGFDNFTVAVEVDGRVQLVYKHALSTITPARPLPVSVSQIMRAGEGQEVEGEE