Q05037 AF NFT

Potassium voltage-gated channel subfamily A member 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeignex7rk5kqvmp4vbtw5gfie7l6ug7tareo5aotnp7huslofaeizy/metadata.json
IPFS of structure file: 
bafybeia6o5nslb6mm2lfcrzaflvwt4znqymolqz5ip5legm6l4upsmmm6y/AF-Q05037-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #199262 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
199262
Accession (UniProt):
Q05037
Name::
Potassium voltage-gated channel subfamily A member 4
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 Q05037 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q05037|KCNA4_BOVIN Potassium voltage-gated channel subfamily A member 4 OS=Bos taurus OX=9913 GN=KCNA4 PE=1 SV=1 MEVAMVSAESSGCNSHMPYGYAAQARARERERLAHSRAAAAAAVAAATAAVEGGGGSGGSQHHHHPSRGACTSHDPQSGRGSRRRRRPHPEKKKVHHRQSSFPHCSDLMPSGSEEKILRDLSEEDEEEDDEEDEEEEGRFYYSEEDHGEECSYTDLLAQDDGGGGGGGSGGGGYSSVRYSDCCERVVINVSGLRFETQMKTLAQFPETLLGDPEKRTQYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLKRPVNVPFDIFTEEVKFYQLGEEALLKFREDEGFVREEEDRALPENEFKKQIWLLFEYPESSSPARGIAIVSVLVILISIVIFCLETLPEFRDDRDLIMALSTGGHGGLLNDTSAPHPENSGHTIFNDPFFIVETVCIVWFSFEFVVRCFACPSQALFFKNIMNIIDIVSILPYFITLGTDLAQQQGGGNGQQQQAMSFAILRIIRLVRVFRIFKLSRHSKGLQILGHTLRASMRELGLLIFFLFIGVILFSSAVYFAEADEPTTHFQSIPDAFWWAVVTMTTVGYGDMKPITVGGKIVGSLCAIAGVLTIALPVPVIVSNFNYFYHRETENEEQTQLTQNAVSCPYLPSNLLKKFRSSTSSSLGDKSEYLEMEEGVKESLCAKEKCQGKGDDSETDKNNVSNAKAVETDV