Q92JC9 AF NFT

Probable GTP-binding protein EngB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5c6rxu5ict4rium6aj5wib2gadqacd242udqwqieqx5w4qzfy2e/metadata.json
IPFS of structure file: 
bafybeicnhp6cgqg3kxuxubayjphtchygmgrzigvfvfwyf3zyzq24hvdr6e/AF-Q92JC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #117177 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
117177
Accession (UniProt):
Q92JC9
Name::
Probable GTP-binding protein EngB
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 Q92JC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JC9|ENGB_RICCN Probable GTP-binding protein EngB OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=engB PE=3 SV=2 MTTQKIVPTKSTDGSKLFRHQAKFVAGAMNINQILNFSLPEIAFVGKSNVGKSSLINTICNNKNLAKVSNTPGRTRQINFFNLADKLIIVDLPGYGFANVPISVKEQWGVLISYYLRNSYNLRLVNLLIDSRRGIKENDKKVADLLLANKREFQIIFTKSDKVTDHKNLHDEAQNFLATLNYSCNVMYVSNRSKEGARELKASLAKCIKPQK