Q645T0 AF NFT

Taste receptor type 2 member 9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwwjhm3j4r4o5oxba7z5murvteconbpbme6wuhubb5foxhr4k4ze/metadata.json
IPFS of structure file: 
bafybeiawtnleiln2jor43ln6aytf45fqgeulzucz5a5qkyizokwuvtkexm/AF-Q645T0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #456728 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
456728
Accession (UniProt):
Q645T0
Name::
Taste receptor type 2 member 9
Experimental Method:
Predicted structure
Sequence source:
MACACA MULATTA

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 Q645T0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q645T0|TA2R9_MACMU Taste receptor type 2 member 9 OS=Macaca mulatta OX=9544 GN=TAS2R9 PE=3 SV=1 MPSTIEAIYIILIAGELTIGIWGNGFIVLVNCIDWLKRRDVSLIDIILISLAISRICLLCVISLDGFFILLFPGTYDTNVLESIMDAVWTFANNSSLWFTSCLSIFYLLKIANISHPFFFWLKLKINKVILAILLGSFLISLIISFPINGMWYNLFKVSHEENITWAFKVSTIPGAFKQLTLNLGAMVPFILCLISFFLLLFSLVRHTKQIQLHATGFRDPSTEAHMRAVKAVIIFLLLLILYYPVFLVMTSSTLIPQGKLVLMIGDIVTVIFPSSHSFILIMGNSKLRAAFLKMLRFVKGFLRRRKPFVP