Q92JL0 AF NFT

Uncharacterized protein RC0057

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqdr4p65lb6xtjuzpzcud3o7hnkaias22jhvnokpsnadcdkaq6fa/metadata.json
IPFS of structure file: 
bafybeidhjys7q5t64ws2tkxttym53v5y7vef4oo32dyyvqzlrq3wuofbo4/AF-Q92JL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd32AB9A0bD3424Dd2967E6fD3d3E7c1f3833E0bD
First NFT owner address (bech32): 
genesis16v4tng9axsjd62t8um7n60nuruur8c9acqxh53
Current NFT ID #503177 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
503177
Accession (UniProt):
Q92JL0
Name::
Uncharacterized protein RC0057
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 Q92JL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JL0|Y057_RICCN Uncharacterized protein RC0057 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0057 PE=4 SV=1 MLGKNDIKNVHKKLNVAKDFQNFNDEHCNIVTLSKVINDEGKKHIVVEAEVAFKGLTEEQKQEYQNRDGKNWYNVMPECERKLVDQYTDTI