Q0K967 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjqjt7parvsvxaaea33d4bdn75s3z4jgpgc6leiiitr5egudgvou/metadata.json
IPFS of structure file: 
bafybeihwqioy7zk7g3dthlh3dynvl2nsaqypxhsfjuqto3qfyajijadu2e/AF-Q0K967-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x684d073E366366ddffC95957482409C0CF2729Da
First NFT owner address (bech32): 
genesis1dpxsw03kvdndml7ft9t5sfqfcr8jw2w6tawfh5
Current NFT ID #168885 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168885
Accession (UniProt):
Q0K967
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0K967 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0K967|HFQ_CUPNH RNA-binding protein Hfq OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=hfq PE=3 SV=1 MSNKGQLLQGPFLNALRKEHVPVSIYLVNGIKLQGNIESFDQYVVLLRNTVTQMVYKHAISTVVPARAVNFRVDDAAEA