Q92H76 AF NFT

SCO2-like protein RC0895

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiby2k55pjkwlle2mjqxdkecdvkdlqr4bhr2qcnnytenugjlqy7ccu/metadata.json
IPFS of structure file: 
bafybeigqtpbrz7p7gr4qzo7tvupcue2bq6x5xwuovnk42caze4itnmo72m/AF-Q92H76-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #421616 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
421616
Accession (UniProt):
Q92H76
Name::
SCO2-like protein RC0895
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 Q92H76 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92H76|SCO22_RICCN SCO2-like protein RC0895 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0895 PE=3 SV=1 MKIQSNVIKIIIVISLLIGVGALYLLLSLRTPEKPLAGQVNIYEDNVKIGGDFELIDQNGEIFNSDKLKGNLSLIYFGFTSCPDICPTSLNKMTEIVEILNKHKIDILPVFITIDPKRDTPIALKEYLKHFHPKFIGLTGNEQQIKDVTDKFKVFYARVHGDDDDPNYMLDHSSFTYLIDANGKYLKHFYLDSSPKEMMEFLRNE