Q92JD2 AF NFT

Uncharacterized protein RC0135

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtczwe7urqkzlozjntzvu3rkvi22rww47j6tk2sqx4wwvoolye3u/metadata.json
IPFS of structure file: 
bafybeig32uqqcnlygccx35zyiuoaygyecar72a4thkdnxnwofasnymvlze/AF-Q92JD2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF4bb4e5FAc04d8727C4ae3523172c2f5b40A2130
First NFT owner address (bech32): 
genesis17ja5uhavqnv8ylz2udfrzukz7k6q5gfsy2lydr
Current NFT ID #506280 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
506280
Accession (UniProt):
Q92JD2
Name::
Uncharacterized protein RC0135
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 Q92JD2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JD2|Y135_RICCN Uncharacterized protein RC0135 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0135 PE=4 SV=1 MPSSFPEYISNLNPKPLSTKEQIDHNQAAFCIMKDLNYIDNHLVALKQLQQAEQIAIGQTDSNFLSYINAMIGRSYQQLGLFDNAIQQFQDSIENSFEAKQYYNVENSYKELVTAHQPQGTLAKLKN