Q645S2 AF NFT

Taste receptor type 2 member 60

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiadxx42z4lwxkvm6ebabw5idy4fbshoc4qu4k2efslgxokhiuqz2i/metadata.json
IPFS of structure file: 
bafybeigew77doabbkzgsskbyw77ypftkymn7xn7lobjtpjsc6pjhium6hy/AF-Q645S2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD5bf898F66688040Aa805A8ff7313dC69c1239Ca
First NFT owner address (bech32): 
genesis16klcnrmxdzqyp25qt28lwvfac6wpyww2prhrrv
Current NFT ID #456515 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
456515
Accession (UniProt):
Q645S2
Name::
Taste receptor type 2 member 60
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 Q645S2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q645S2|T2R60_MACMU Taste receptor type 2 member 60 OS=Macaca mulatta OX=9544 GN=TAS2R60 PE=3 SV=1 MNGDHMVLGSSVTDQKAIILVIILLLLCLVAIAGNGFITAALGVEWVLRGTLLPCDKLLVSLRASRFCLQWVVMGKTIYVLLYPTAFPYNPVLQFLAFQWDFLNAATLWFSSWLSVFYCVKIATFTHPVFLWLKHKLSEWVPWMFFSSVGLSSFTTILFFIGNHSIYQNYLRNHLQPWNVTGNSIWSYCEKFYLFPVKMITWTMPTAVFFICMILLITSLGRHMEKALLTTSGFREPSVQAHVKALLALLSLAMLFISYFLSLVLSAAGIFPPLDFKFWVGESVIYLCAGVHPIILLFSNRRLRAVLERCRSSRCRTP