Q7REK3 AF NFT

Putative chloroquine resistance transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia2wopffruhekq3y3e7dioamncat2xl3f5nruoag5bdpmwmmww3d4/metadata.json
IPFS of structure file: 
bafybeiefhks3xnag6lp4wbotgk22hxy6zpl2nlv2b6j5mwx5gd62ahblb4/AF-Q7REK3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5659035936050aC2c0e7124CfC7caB9D45fEB205
First NFT owner address (bech32): 
genesis12evsxkfkq59v9s88zfx0cl9tn4zlavs92hmazf
Current NFT ID #77743 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
77743
Accession (UniProt):
Q7REK3
Name::
Putative chloroquine resistance transporter
Experimental Method:
Predicted structure
Sequence source:
PLASMODIUM YOELII YOELII

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 Q7REK3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7REK3|CRT_PLAYO Putative chloroquine resistance transporter OS=Plasmodium yoelii yoelii OX=73239 GN=PY05061 PE=3 SV=1 MTVIKKGKNKKKNLKNDDRYKELDSLITNGSEIGDNSGRSCIKRFFKIIGNEMKNNVYVYFLSILYLCVCVMNKVFAKRTLNKMGNYSFVTSETHNIICIVVFQLLYFIYRKTSTSGYKNESQKNFGWQFFLISLLDASTVIISMIGLTRTTGNIQSFIMQLIIPVNMYFCFMFLGYRYHLFNYLGAFIILITIAVVETFLSFETQSENSIIFNLIMISALIPLSFSNMTREVVFKKHKINILRLNAMVVLFQFFTSLLVLPVYNIPFLKEIYMPFSEMSTNINNGLRCLFYGQNTVVENCGVGMVKMCDNCEGAWKTFITFSFFNICDNLLACYIIDKFSTMTYTIVSCIQGPAITIAYYFKFLAGDAVRKPRILDFLTLFGYLFGTIIYRIGNIILEKKKMVKSQNSNDSEAELTCIETSTA