Q645T2 AF NFT

Taste receptor type 2 member 14

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6wjfcpct4epdzun2f4dsczszr7vwhqoudrvlkmvljww23efxy6i/metadata.json
IPFS of structure file: 
bafybeiggzffhxdwd5f767mefioak2sfph6gzyjjyd7adnmyhlclhh64jja/AF-Q645T2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA2ED127c7DF83E1D9Fa8D7c517410A1D4A5B70F5
First NFT owner address (bech32): 
genesis15tk3ylralqlpm8ag6lz3wsg2r499ku84aw2nna
Current NFT ID #456433 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
456433
Accession (UniProt):
Q645T2
Name::
Taste receptor type 2 member 14
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 Q645T2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q645T2|T2R14_MACMU Taste receptor type 2 member 14 OS=Macaca mulatta OX=9544 GN=TAS2R14 PE=3 SV=1 MDGVIKSIFTFILIVEFIIGNLGNSFIVLVNCIDWVKRRKISLVDQILIALAISRISLVWSIFGSWCVSVFFPALFATEKLLRMLTNIWTVTNHFSVWLATILGTFYFLKIANFSNSIFLYLKWRVKKVVLVLLLVTLGLLFLNILLINIHINASINGYRGNMTCSSASCNFIRFSRAIALTSTVFVLIPFTLSLATSLLLSFSLWKHHKKMQHTVKGYRDVSTKAHRGVMQTVITFLLLYAVFLLTFFISIWASVRLKENQIIILSEMMGLAYPSGHSCVLILGNKKLRQASLSVLWWLRYRFKHGEPSGHKEFRESS