Q708S4 AF NFT

Acid-sensing ion channel 4-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifbj5vin2nhj3x2wm5vayjfdsye5kthkmgiykvg466hqjgzoxly74/metadata.json
IPFS of structure file: 
bafybeih2r4mv45dodazks2vaskt2ap3dpcpkpmqmepn36invn55eh2dc3m/AF-Q708S4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #28472 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
28472
Accession (UniProt):
Q708S4
Name::
Acid-sensing ion channel 4-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 Q708S4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q708S4|ASI4A_DANRE Acid-sensing ion channel 4-A OS=Danio rerio OX=7955 GN=asic4a PE=2 SV=1 MPIEFVCKIKFAEEDEKQKGNQDGDKESLIEESCSPPTKDLAGFASASSLHGINHIFVSGRLGVRQTLWALAFLVSLALFLYQAAKCAISYLEHPHVTALNEEATPEMVFPAVTICNINRFRFSALTDADIYHLANLTGLPPKNKDGHKPTDLEYPAPDMQDIFNRTGHQLEEMLKSCNFSGQNCSAEDFTVVYTRYGKCYTFNGNKTTSRKTKQGGMGNGLEIMLDIQQDDYLPIWKETNETSLEAGIRVQIHSQDEPPYIHQLGFGVSPGFQTFVSCQEQRLTYLPQPWGNCRSTSEQMIPGYDTYSISACRLRCETLEVLRECKCRMVHMPGDANICTPSDIKCVDKALALLQKSSGDTCFCETPCNLTRYGKELSMVKIPSKGSARYLSRKYDKSEDYIRDNFLVLDIFFEALNYETIEQKKAYDVAGLLGDIGGQMGLFIGASVLTILEILDYVYEVIKHRLERLLRPQRDDKKQTQQQQQASTVATVNLEEMKAKDSSEMSRSHSEGAYANTILPNHHHHHRTHHRVSEDFAC