Q92JQ5 AF NFT

Uncharacterized protein RC0012

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicr62y7fhbcbnw3mnagdxbcr2nxlqjyusbf2dnf5bcfa6r4rp7o6e/metadata.json
IPFS of structure file: 
bafybeigykmiew4rl4avptoxz5h57q62hj7nqvveelqsefhythzu2s44ccu/AF-Q92JQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #502689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502689
Accession (UniProt):
Q92JQ5
Name::
Uncharacterized protein RC0012
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 Q92JQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JQ5|Y012_RICCN Uncharacterized protein RC0012 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0012 PE=4 SV=1 MFFSLSYASEKAVIITDYKPVFLPVIAENKKIRIAIRSYLNNEKSYFVLVDPNSFKTEIALQELVILPTNKIEKENLLKKLSKTPYIKVLNKYSSTPYIQQNYGATSSMYKVKGQFLTIDMCPSSKSFEKDFFKKLVELSIKLNKPIPIAICVSGLWINKHTEEFLWLLKQQENGYLQITWVNHSFSHPYFKDKPLEDNFLLSNKDDFENEVLEAGKILVSYNIAPSPFFRFPGLVSDQTLIEKLKDLGFIPLGSNAWLAKGEKVQNGSFILVHGNSNEKAGIDLIMPMLPELKLLPIEKAFLLHDN