Q9ZDG2 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized protein RP367

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibdo5aqdu2qchth3fy2zqu3z2zwuy4ctgyi7jq42wed4nvsqdvwlm/metadata.json

IPFS of structure file:

bafybeib24hvckpjiukg2wqhkoo7skibjlpqzn6dfkmpb74kf27fsv3flnq/AF-Q9ZDG2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xaa53776A41fB2e67da75A96E8a53746b6874aAB4

First NFT owner address (bech32):

genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30

Current NFT ID #515998 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
515998
Accession (UniProt):
Q9ZDG2
Name::
Uncharacterized protein RP367
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA PROWAZEKII (STRAIN MADRID E)

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 Q9ZDG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZDG2|Y367_RICPR Uncharacterized protein RP367 OS=Rickettsia prowazekii (strain Madrid E) OX=272947 GN=RP367 PE=4 SV=1 MFISNIFQKFFSFLFVLLITTLVCADPKKVAVIVPLEHDSMYKIVSGIQEALKDIDVEILVKNAHADPNILLAIINQIKDHDIDLIIPIGTTVSQTTISHIINKPIVCAAAIINGKNLPLVTGVNDEIKITDTISKLPFLENITLIYSSSEKVIPEVEMLKLYAKNNNISLYTAMIQNLNDMPIAVKNAPKNTQSFIILKDHLIVSGINILKQEAFVRRIPLIASDEGSVINGATIAVGVQEKQIGVEAGLMAKKILQGIAPKDIPFSDMKDFTLFINLKSFLKQDILTQENLSVLPFKHKEF