Q7SZP9 AF NFT

Apelin receptor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihiest3h2bw3t72nkvd4zozc6c4myfz4byn6nhiz5h4lqwqlsquey/metadata.json
IPFS of structure file: 
bafybeic2k6kk2zqmglfsiggj5e7vyo4u2mod7uy5ufegmfznk4onazbote/AF-Q7SZP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7dcbAD470f5929B90D67D043964f6a19Cd5f2dD5
First NFT owner address (bech32): 
genesis10h9663c0ty5mjrt86ppevnm2r8x47tw4qwzlvj
Current NFT ID #18322 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
18322
Accession (UniProt):
Q7SZP9
Name::
Apelin receptor A
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 Q7SZP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7SZP9|APJA_DANRE Apelin receptor A OS=Danio rerio OX=7955 GN=aplnra PE=1 SV=2 MEPTSEYTETYDYYDTGYNDSGCDYSEWEPSYSLIPVLYMLIFILGLSGNGVVIFTVWRAKSKRRAADVYIGNLALADLTFVITLPLWAVYTALGYHWPFGVALCKISSYVVLVNMYASVFCLTCLSFDRYLAIVHSLSSGRLRSRATMLASLGAIWFLSCLLAVPTLLFRTTVDDTGSNRTTCAMDFSLVTLNQDHESLWIAGLSLSSSALGFLLPFLAMTVCYCFIGCTVTRHFSHLRKEDQKKRRLLKIITTLVVVFAFCWTPFHVLKSMDALSYLDLAPNSCGFLHFLLLAHPYATCLAYVNSCLNPFLYAFFDLRFRSQCLCLLNLKKAMHGHMSSMSSTLSAQTQKSEVQSLATKV