Q92JE4 AF NFT

Uncharacterized protein RC0123

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibksn25whdcqbpn7opkl6avu7ocghekkxmfyn7s23cqq5ielntawm/metadata.json
IPFS of structure file: 
bafybeid2e62hpvbes3s7e6lsu32wdbxzkkn55cn3x7jickgnwf3c4gc3ga/AF-Q92JE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE136f7458dc8cd9A7a4468E4BCD663dA9A275Ba3
First NFT owner address (bech32): 
genesis1uym0w3vderxe57jydrjte4nrm2dzwkardr5j6k
Current NFT ID #505284 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
505284
Accession (UniProt):
Q92JE4
Name::
Uncharacterized protein RC0123
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 Q92JE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JE4|Y123_RICCN Uncharacterized protein RC0123 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0123 PE=3 SV=2 MRILIILSIILCSLSIRADLEYVDNEIYNYNGGSNENGCVEVYDPYEKFNRKVFVFNSVLDYIILRPLAVGYKNITNDYVKARVNSFVSNVDTPLTAINYGLQLNYDKTMKSVWRFLINTTLGIGGLFDVAGKVGLPSDRQTFGSTLAHYGVAPGPYLVLPIIGSTNARDMTDSVITNYALNPLMYYTHNDFDLGVLAVSKINDRYVVLPFSDYVMKNSTDPYVAIRSALHRVREASVQYPENFKCPKPKN