Q92JP4 AF NFT

Uncharacterized protein RC0023

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidm6gq3vay464ivlnury6fpne3kwmpz2imr2z3ic75oheft5o3yzi/metadata.json
IPFS of structure file: 
bafybeifvvp5kyevt2imgsufu3557qjoq4yfajufrxrt6oh27lxmw7puxse/AF-Q92JP4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAB101f7Cfd0D22Bf85F642916550b92ff64174f9
First NFT owner address (bech32): 
genesis14vgp7l8ap53tlp0kg2gk259e9lmyza8eh4c2zx
Current NFT ID #502796 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502796
Accession (UniProt):
Q92JP4
Name::
Uncharacterized protein RC0023
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 Q92JP4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JP4|Y023_RICCN Uncharacterized protein RC0023 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0023 PE=4 SV=1 MLCFEAICLGAINSSSKNFTCVKEFVRAYPELTNKITNEHPEYFIDGSILRICVNDKAILNKLLASG