Q92JP5 AF NFT

Uncharacterized protein RC0022

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifd32zb2o64zetci4o5oy7kj6we37zgywn7xos7k4worpivtz5aym/metadata.json
IPFS of structure file: 
bafybeifl5pmyc2xtdk6xdbldkwnomvqopmcladrsad7ma5vihhmnle7so4/AF-Q92JP5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #502789 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502789
Accession (UniProt):
Q92JP5
Name::
Uncharacterized protein RC0022
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 Q92JP5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JP5|Y022_RICCN Uncharacterized protein RC0022 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0022 PE=4 SV=1 MDKCRKANLYQKMGYYNEYILCKFEESLKYYKKALKIDQELVHPSFIASSLNNIGVIYEN