Q92JQ1 AF NFT

Uncharacterized protein RC0016

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaebbvqrhhewvjvvqwnzygdplnckyuyy6piu3j3jz72gkhjs2m77e/metadata.json
IPFS of structure file: 
bafybeiderqdwws3b2lz4cbizn6spvkihjo26rmucicdalahb62rak6y72y/AF-Q92JQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5ce0D3c69518629Fa692C944CeBE0a3596343B38
First NFT owner address (bech32): 
genesis1tnsd8354rp3flf5je9zva0s2xktrgwecwfvd2w
Current NFT ID #502728 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502728
Accession (UniProt):
Q92JQ1
Name::
Uncharacterized protein RC0016
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 Q92JQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JQ1|Y016_RICCN Uncharacterized protein RC0016 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0016 PE=4 SV=1 MLGLAIMAISFIFMSYSPKPELIFDANHMAVGVKDRENKLVIHADKIPAFNRTYWANWFGQKDSMVLPLENNIF