Q1ZXI9 AF NFT

Frizzled and smoothened-like protein O

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3yd6zbieif37cjilbr656m56leevwoxv74afecxrcm3wttkx5qa/metadata.json
IPFS of structure file: 
bafybeidgwozzl7nt6pq2g4aryg4z7qs4byvkf4zkpml72bbnmcwkw5mqdu/AF-Q1ZXI9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4450b8770f8579152a0dD84fBd7622763A5eC221
First NFT owner address (bech32): 
genesis1g3gtsac0s4u322sdmp8m6a3zwca9as3p2ax7e7
Current NFT ID #136567 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136567
Accession (UniProt):
Q1ZXI9
Name::
Frizzled and smoothened-like protein O
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q1ZXI9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1ZXI9|FSLO_DICDI Frizzled and smoothened-like protein O OS=Dictyostelium discoideum OX=44689 GN=fslO PE=3 SV=1 MKKLNYLLIVSFIFILNLLISKSQVLIDVTAKCELIDSLSPCKDNLNYTHIYLPTGYTQAAISAQITPLFQQASILPTDCQSNLKNLLCISSYMECNENIPNISPSFPLPSYPCNKYCEKVKDVCSAYMAILGPYVNCSAVQNGNEFFPHTGTDYDLTAYGGSANEEIQCSGPNLASNSTSAPIKFCPSPLIWVDSDTINNKRAYQETTPNCVLPCPTNVYTEKEYKTKFYSEAILFSFSTACSFYLIFTFGVFPNKYTNRNWIIVYLGITAICLAISYAVQEARYGGGDWRCTSDPGRYKSSEDGTCILGGFFFQIGGLGTILFLSLYSFDMFLTMNMMTNKYFIQTSVGMWALIIFYALLPIKHYESSIASAGCWLSNEDNMFWQYFCFYVPSYVATFFLGVFIITSIYKVFKMTVMFKSIKDKRILLLNIRSIIFLIAIMFCVSFSTMYPLYVTYNGDDFSKSVEVYVTCLYANIPNGNEVCPQIVFPQFSLRYMNAITMAIIGIVGLIGLGIDPHILQIYRESIRFKFLLGLVGIQWGTNSPQPLKQGSTTDSSSGSGSGNGSNSGNNRENRKSQRKSRGVSIGMKKINLSASSESSNNLLNQSTPGNLNINESISSIDTSNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYSNNNNNNNNNNNNIERINSDNV