Q5QNP2 AF NFT

Trace amine-associated receptor 13c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidsz4ls4cz5ceq5lqs3u6hsursq5a7kruab6bpjjornrwqevewybe/metadata.json
IPFS of structure file: 
bafybeigw4wcuacufaj4uurjcwfuyynnzs34aa2a7ksmkqmeebb62mbal7y/AF-Q5QNP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbe76286E675B2761093E18e8e83091B43cd8ACCf
First NFT owner address (bech32): 
genesis1hemzsmn8tvnkzzf7rr5wsvy3ks7d3tx0yyvrdh
Current NFT ID #456685 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
456685
Accession (UniProt):
Q5QNP2
Name::
Trace amine-associated receptor 13c
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q5QNP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5QNP2|TA13C_DANRE Trace amine-associated receptor 13c OS=Danio rerio OX=7955 GN=taar13c PE=1 SV=1 MDLSSQEYDPSQFCFPAVNNSCLKGTHHVSTQTVVYLILASAMTVTVLGNSVVIISIAHFKQLQTPTNILVMSLALADLLLGLVVMPFSMIRSVDGCWYYGETFCLLHTGFDLFLTSVSIFHLIFIAVDRHQAVCFPLQYPTRITIPVAWVMVMISWSMAAFYSYGVVYSKANLEGLEEYIASVYCMGGCTLYFNALWSVLDTLLTFFLPCSVMVGLYARIFVVAKKHIKSITEANQNENENVFKNPRRSERKAAKTLGIVVGAFILCWLPFFINSLVDPYINFSTPYALFDAFGWLGYTNSTLNPIIYGLFYPWFRKTLSLIVTLRIFEPNSSDINLFTV