P78588 AF NFT

Probable ferric reductase transmembrane component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6ubmu7p66zj2yr7xnb4gupnvexi2pzjha6yyet4odzn545l5iuu/metadata.json
IPFS of structure file: 
bafybeifnaqzqz6nw3ypo3uvof5lvfmru2ka6sbu52hdzbnenuzqkqjyn7e/AF-P78588-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4F645e7408E44AD5ad5D75Dc57907ED9c9F89Dbf
First NFT owner address (bech32): 
genesis1faj9uaqgu39dtt2awhw90yr7m8yl38dl6456yg
Current NFT ID #136077 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136077
Accession (UniProt):
P78588
Name::
Probable ferric reductase transmembrane component
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS

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 P78588 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P78588|FREL_CANAX Probable ferric reductase transmembrane component OS=Candida albicans OX=5476 GN=CFL1 PE=3 SV=1 MTESKFHAKYDKIQAEFKTNGTEYAKMTTKSSSGSKTSTSASKSSKSTGSSNASKSSTNAHGSNSSTSSTSSSSSKSGKGNSGTSTTETITTPLLIDYKKFTPYKDAYQMSNNNFNLSINYGSGLLGYWAGILAIAIFANMIKKMFPSLTNNLSGSISNLFRKHLFLPATFRKKKAQEFSIGVYGFFDGLIPTRLETIIVVIFVVLTGLFSALHIHHVKDNPQYATKNAELGHLIADRTGILGTFLIPLLILFGGRNNFLQWLTGWDFATFIMYHRWISRVDVLLIIVHAITFSVSDKATGKYKNRMKRDFMIWGTVSTICGGFILFQAMLFFRRKCYEVFFLIHIVLVVFFVVGGYYHLESQGYGDFMWAAIAVWAFDRVVRLGRIFFFGARKATVSIKGDDTLKIEVPKPKYWKSVAGGHAFIHFLKPTLFLQSHPFTFTTTESNDKIVLYAKIKNGITSNIAKYLSPLPGNTATIRVLVEGPYGEPSSAGRNCKNVVFVAGGNGIPGIYSECVDLAKKSKNQSIKLIWIIRHWKSLSWFTEELEYLKKTNVQSTIYVTQPQDCSGLECFEHDVSFEKKSDEKDSVESSQYSLISNIKQGLSHVEFIEGRPDISTQVEQEVKQADGAIGFVTCGHPAMVDELRFAVTQNLNVSKHRVEYHEQLQTWA