Q8SQI5 AF NFT

Probable ABC transporter ECU01_0200/ECU01_1410

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieqzlfgifhcglrllzleeld5ltvwqhyjgueajpbv5e4q5ixlqwr6fy/metadata.json
IPFS of structure file: 
bafybeibyjd7qvtmbqjikyso6chcs4u3lki4d2ef75saqvtmzbjemueh6lu/AF-Q8SQI5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA282412EdfcE4C50dd88EF2f60821010627e7F46
First NFT owner address (bech32): 
genesis152pyztkleex9phvgauhkpqsszp38ul6x7ht2cy
Current NFT ID #3344 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3344
Accession (UniProt):
Q8SQI5
Name::
Probable ABC transporter ECU01_0200/ECU01_1410
Experimental Method:
Predicted structure
Sequence source:
ENCEPHALITOZOON CUNICULI (STRAIN GB-M1)

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 Q8SQI5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8SQI5|ABC1_ENCCU Probable ABC transporter ECU01_0200/ECU01_1410 OS=Encephalitozoon cuniculi (strain GB-M1) OX=284813 GN=ECU01_0200 PE=3 SV=1 MRRMDRWTVCRRLASMARPVSFLEAALMAVVAACIVLGKWFDVMSIKRRGLIINGLKDIKGMGSANVSSIYGDAAAFLVLRTLSSAFTESKAILFSAVTNRVVQASTSRILDLTMHAAHSCEIKPTELNRIVERGNRKISKVLVKTLTVATPALFRLALLFREVHAMFGPKYLVPILFTAAAYAAYTCVMLRIRARYRKEINNADNSVSRRIHECVSNVDLVRACCSEQFEVSRLAGEMETMWALKLSDKGCVGMTNLGQRALFSVLFVHVAFKGIADMAALRMTVGDLSVLFSFVLSIDASMWTLGGIARDLGFWLTDCTDLLCLHDGLERAAEQGPGAGAAAEGMAACPSSPPGEAAAVEFDDVSFAYPRSAAYPRSAHVLSGVSFRIMRGERVGIIGRPGSGKSTILRLILMLHRHKGRIRVNGAELWSASPRAVRGSIGCILQDGLLFDESILYNVMYGCPRAGFHRVLRECKNAGLSDVVRRKGLHSRMKALSGGEMQMVSLARCFLKDAPLMLLDEATSKLDAETERDVFGLMMGMRGKTIVMVLHDLWMTEHLDRVILVDSGTVKEVGTHSELMGLRGMYWRMKTASRE