Q92JM7 AF NFT

Uncharacterized protein RC0040

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihr6vxaoywff5xmcfnbvur2dcj4xrvju6mxbbxyr5thiklar5t4ue/metadata.json
IPFS of structure file: 
bafybeicfo2emayag4nvjjkkythw7d5vqyluufxfxhv2e23c3v64yn5ff6u/AF-Q92JM7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #502998 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502998
Accession (UniProt):
Q92JM7
Name::
Uncharacterized protein RC0040
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 Q92JM7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92JM7|Y040_RICCN Uncharacterized protein RC0040 OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=RC0040 PE=4 SV=1 MLPDQALPIYNLLEKLLKETHKSINDCYKNENLYKHQLAKIYCQQAQICTPNGSTKLSKNSIGLYENAANLGSEEANIKLGKIEFKSGNYVKALEYFKNLCKRSF