Q92JL4 AF NFT

Uncharacterized protein RC0053

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjqxgxodpehi2fpwy3xjv6pshbbseolk5nnmz6azuyjxau24m6pq/metadata.json
IPFS of structure file: 
bafybeicpvrjay4u7g7rkuerl3akunbojhu43sstqkyu57lpy4kauvlwixu/AF-Q92JL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE0E909db0A358B7D2E6DeddBd6BF78332E2b9B9C
First NFT owner address (bech32): 
genesis1ur5snkc2xk9h6tndahdad0mcxvhzhxuu25d0rh
Current NFT ID #503133 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
503133
Accession (UniProt):
Q92JL4
Name::
Uncharacterized protein RC0053
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 Q92JL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JL4|Y053_RICCN Uncharacterized protein RC0053 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0053 PE=4 SV=1 MKASLTCVGEYYNNVEQTELYLKAVASLRQTALYTSKPKDTDILLGKAFYKAGKLSEAGTVLNKYIYILSRE