Q9F9F2 AF NFT

17 kDa surface antigen

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaafukedy36rnvgx3u2kfm4bjcndhiozk37hijorn643jul6yxncq/metadata.json
IPFS of structure file: 
bafybeibysgxzy6hqy6ne3qpkqqxlqqzz33p55ck6v43vflb42obogtemuy/AF-Q9F9F2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3d944850D26fB5c0d71746C4caCa5CD27831DE39
First NFT owner address (bech32): 
genesis18k2ys5xjd76up4chgmzv4jju6furrh3eljrnzv
Current NFT ID #186 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
186
Accession (UniProt):
Q9F9F2
Name::
17 kDa surface antigen
Experimental Method:
Predicted structure
Sequence source:
Rickettsia felis (strain ATCC VR-1525 / URRWXCal2)

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 Q9F9F2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9F9F2|17KD_RICFE 17 kDa surface antigen OS=Rickettsia felis (strain ATCC VR-1525 / URRWXCal2) OX=315456 GN=omp PE=3 SV=1 MKLLSKIMIIALAASMLQACNGPGGMNKQGTGTLLGGAGGALLGSQFGKGKGQLVGVGVGALLGAVLGGQIGAGMDEQDRRLAELTSQRALEATPSGTSVEWRNPDNGNHGYVTPNKTYRNSTGQYCREYTQTVVIGGKQQKAYGNACRQPDGLWQVVN