Q92JH1 AF NFT

Uncharacterized protein RC0096

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicggafxat3atemqgpnucypsx5t5qebeausrybsfymp74crqhrsh2y/metadata.json
IPFS of structure file: 
bafybeicxokcsa77o3zegeguauy2vogsj3z2lihs2czxighc43vg6lprktu/AF-Q92JH1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #503534 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503534
Accession (UniProt):
Q92JH1
Name::
Uncharacterized protein RC0096
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 Q92JH1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JH1|Y096_RICCN Uncharacterized protein RC0096 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0096 PE=4 SV=1 MINNIFIKIFLVFLVCMSAIYFGYQYYQNSKPVITIYPDELPTKIKPSIIENNQIAAVHSTIYENLIAKDTNIKTVKLLPDPEKPMSIDSRNQSQSDESFDEISNLIALIEPNNNAKNETDLNIIKLEKGSKDKVSNAKNCKNNESYKVQLGSVKSEAEAMKEGERIKKQFPKILKNVVITTKKVKYDDGKFFYLILAGDYGSLSQAKAVCKKLAYNKQSCVLK