B4SYE8 AF NFT

Low affinity potassium transport system protein kup

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazg2idb5xuqkzodyybdaxecigwni5dk7fxy2ssimy2em4lzavlde/metadata.json
IPFS of structure file: 
bafybeifup2j6rtd6akrkjz7cowanvbluqpap5w7go5qn3xja6y5xstccle/AF-B4SYE8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xddD89F6cedc3679f21663f3046B4aB3D5161E34E
First NFT owner address (bech32): 
genesis1mhvf7m8dcdne7gtx8ucydd9t84gkrc6whvv4gj
Current NFT ID #206339 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206339
Accession (UniProt):
B4SYE8
Name::
Low affinity potassium transport system protein kup
Experimental Method:
Predicted structure
Sequence source:
Salmonella newport (strain SL254)

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 B4SYE8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4SYE8|KUP_SALNS Low affinity potassium transport system protein kup OS=Salmonella newport (strain SL254) OX=423368 GN=kup PE=3 SV=1 MSTDNKQSLPAITLAAIGVVYGDIGTSPLYTLRECLSGQFGFGVERDAVFGFLSLIFWLLIFVVSIKYLTFVMRADNAGEGGILTLMSLAGRNTSARTTSMLVIMGLIGGSFFYGEVVITPAISVMSAIEGLEIVAPQLDTWIVPLSIIVLTLLFMIQKHGTGMVGKLFAPIMLTWFLILAVLGLRSIIANPEVLHALNPVWAVRFFLEYKTVSFIALGAVVLSITGVEALYADMGHFGKFPIRLAWFTVVLPSLVLNYFGQGALLLKHPEAIKNPFFLLAPDWALIPLLILAALATVIASQAVISGVFSLTRQAVRLGYLSPMRIIHTSEMESGQIYIPFVNWLLYFAVVVVIVSFEHSSNLAAAYGIAVTGTMVLTSILSTTVARKNWHWNKYFVALILIAFLCVDIPLFSANLDKLLSGGWLPLSLGLIMFTIMTTWKSERFRLLRRMHEHGNSLEAMIASLEKSPPVRVPGTAVYMSRALSVIPFALLHNLKHNKVLHERVILLTLRTEDAPYVHNVRRVQIEQLSPTFWRVVASYGWRETPNVEEVFHRCGLEGLSCRMMETSFFMSHESLIVGKRPWYLRLRGKLYLLLQRNALRAPDQFEIPPNRVIELGTQVEI