Q9JJT2 AF NFT

GDNF family receptor alpha-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigynir24a3dp62ivtfyn4cyefvrerlxwcbtlkxsejohn6qvxeimxm/metadata.json
IPFS of structure file: 
bafybeidwlsoe3c23gucckbfhlsobzrvlnlkqiojbtttdnq53toqp4ubwma/AF-Q9JJT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4450b8770f8579152a0dD84fBd7622763A5eC221
First NFT owner address (bech32): 
genesis1g3gtsac0s4u322sdmp8m6a3zwca9as3p2ax7e7
Current NFT ID #146723 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
146723
Accession (UniProt):
Q9JJT2
Name::
GDNF family receptor alpha-4
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9JJT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9JJT2|GFRA4_MOUSE GDNF family receptor alpha-4 OS=Mus musculus OX=10090 GN=Gfra4 PE=2 SV=2 MAHCMESALLLLLLLGSASFTDGNRCVDAAEACTADERCQQLRSEYVARCLGRAAPGGRPGPGGCVRSRCRRALRRFFARGPPALTHALLFCGCEGSACAERRRQTFAPACAFSGPGLVPPSCLEPLERCERSRLCRPRLLAFQASCAPAPGSRDRCPEEGGPRCLRVYAGLIGTVVTPNYLDNVSARVAPWCGCAASGNRREECEAFRKLFTRNPCLDGAIQAFDSLQPSVLQDQTAGCCFPRVSWLYALTALALQALL