B7M5A3 AF NFT

Low affinity potassium transport system protein kup

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih25xzqazjtkbhygom5lt6jfugc2mogqrjf3yrglb62trwplz2hj4/metadata.json
IPFS of structure file: 
bafybeifxljeixbja4bimoe5t3k7f4lqnekbtsegghzg3ukrd6zz4g2p6yy/AF-B7M5A3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #206263 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206263
Accession (UniProt):
B7M5A3
Name::
Low affinity potassium transport system protein kup
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O8 (STRAIN IAI1)

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 B7M5A3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7M5A3|KUP_ECO8A Low affinity potassium transport system protein kup OS=Escherichia coli O8 (strain IAI1) OX=585034 GN=kup PE=3 SV=1 MSTDNKQSLPAITLAAIGVVYGDIGTSPLYTLRECLSGQFGFGVERDAVFGFLSLIFWLLIFVVSIKYLTFVMRADNAGEGGILTLMSLAGRNTSARTTSMLVIMGLIGGSFFYGEVVITPAISVMSAIEGLEIVAPQLDTWIVPLSIIVLTLLFMIQKHGTAMVGKLFAPIMLTWFLILAGLGLRSIIANPEVLHALNPMWAVHFFLEYKTVSFIALGAVVLSITGVEALYADMGHFGKFPIRLAWFTVVLPSLTLNYFGQGALLLKNPEAIKNPFFLLAPDWALIPLLIIAALATVIASQAVISGVFSLTRQAVRLGYLSPMRIIHTSEMESGQIYIPFVNWMLYVAVVIVIVSFEHSSNLAAAYGIAVTGTMVLTSILSTTVARQNWHWNKYFVALILIAFLCVDIPLFTANLDKLLSGGWLPLSLGTVMFIVMTTWKSERFRLLRRMHEHGNSLEAMIASLEKSPPVRVPGTAVYMSRAINVIPFALMHNLKHNKVLHERVILLTLRTEDAPYVHNVRRVQIEQLSPTFWRVVASYGWRETPNVEEVFHRCGLEGLSCRMMETSFFMSHESLILGKRPWYLRLRGKLYLLLQRNALRAPDQFEIPPNRVIELGTQVEI