A9L3V9 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvtsac5jbja5zqwpefeirazvjhovysuy3drvmp3lohij2ojs2sqe/metadata.json
IPFS of structure file: 
bafybeieat2xfx4d4v6jjjd6in6pwrrauilscjhjnvykt2kibe2g37laohy/AF-A9L3V9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3Af7660F8080a2693850B96a490d521cFe767A18
First NFT owner address (bech32): 
genesis18tmkvruqsz3xjwzsh94yjr2jrnl8v7scn2mptf
Current NFT ID #169070 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169070
Accession (UniProt):
A9L3V9
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Shewanella baltica (strain OS195)

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 A9L3V9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9L3V9|HFQ_SHEB9 RNA-binding protein Hfq OS=Shewanella baltica (strain OS195) OX=399599 GN=hfq PE=3 SV=1 MAKGQSLQDPFLNALRRERVPVSIYLVNGIKLQGQVESFDQFVILLKNTVSQMVYKHAISTVVPARPFNVTGHQNAQGGYGAQDDAPSGE