Q2K942 AF NFT

Putative pre-16S rRNA nuclease

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifohvqirl66wygcm27bfbnx4gctihwpfqx4zl3ruwh72i7bcf5lsy/metadata.json
IPFS of structure file: 
bafybeiebvmyzszasdhz3m3idb25w6yoh6w42aifvxeo72zh3f4gmhfdqr4/AF-Q2K942-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78a503a9F23864BFbc868D392a218431330dD1fd
First NFT owner address (bech32): 
genesis10zjs820j8pjtl0yx35uj5gvyxyesm50ax6ld78
Current NFT ID #537472 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
537472
Accession (UniProt):
Q2K942
Name::
Putative pre-16S rRNA nuclease
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2K942 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K942|YQGF_RHIEC Putative pre-16S rRNA nuclease OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=RHE_CH01852 PE=3 SV=1 MTVLTIEEIAEILPPGQAIAGLDLGTKTIGLSISDLGRRFATPRPVIRRIKFTIDAQALLDFASAEKVAGFVIGLPMNMDGSAGPRVQATRAFVRNMEQKTALPFIYWDERLSTVAAERVLIEMDVSRAKRAERIDSAAASFILQGALDRLSLLARSAGDEFSA