Q92GU9 AF NFT

Uncharacterized protein RC1023

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic664c23mmu5pucinwnl455vq346dvwx4vsnfsqggeyvvlqkmdg6i/metadata.json
IPFS of structure file: 
bafybeig6du6n4qhs5pabaijkvqlxfmcvgcu5gz6tod5ws6sj6633xgnogm/AF-Q92GU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #503735 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
503735
Accession (UniProt):
Q92GU9
Name::
Uncharacterized protein RC1023
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 Q92GU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92GU9|Y1023_RICCN Uncharacterized protein RC1023 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC1023 PE=3 SV=1 MRKLLLIITVFFTFNVAQASLPNIVASVNDEPITLNEFRARKKMIMALNNVESLTPAQDKQLSDLALKSLIDESLLFQYAGDREIPQEEIENAIKSIEDRNKMPHGSLLQYLKSRSVNPDSFISQIKSELIKMNILSSLSRSVQVSNKEIDVAILSSDQKDVEISMQVFTSKDGGNKAFTQMNNLKNRLKKCADVKKSLYDNFATMQIITDKLSKIEGVKQTIVKDLTPDKASNVFEVNNKFEITLVCSKKILNVNEDENNYVVNFLTNKKISQKAQKMFENMRKKAAIKIMLPS