Q87VJ4 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzqsdksfqlhtsgnyhwbskr2z5svy7impeduxnckd7zt4upvkq5ky/metadata.json
IPFS of structure file: 
bafybeiewzewgplc7qc4tsxdcb7s6ov2ajfhio56ti24kb743budj46gdnm/AF-Q87VJ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xba31ece4AF855B34a2e42Cd078F4CF4BefAF90B2
First NFT owner address (bech32): 
genesis1hgc7ee90s4dnfghy9ng83ax0f0h6ly9juptz3r
Current NFT ID #169024 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169024
Accession (UniProt):
Q87VJ4
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS SYRINGAE PV. TOMATO (STRAIN ATCC BAA-871 / DC3000)

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 Q87VJ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87VJ4|HFQ_PSESM RNA-binding protein Hfq OS=Pseudomonas syringae pv. tomato (strain ATCC BAA-871 / DC3000) OX=223283 GN=hfq PE=3 SV=1 MSKGHSLQDPYLNTLRKEKVGVSIYLVNGIKLQGTIESFDQFVILLKNTVSQMVYKHAISTVVPVRPIRLPSATDADGADAEPGNA