Q59V93 AF NFT

Very-long-chain 3-oxoacyl-CoA reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjfsnl46ls3eju6ig7qdthoyagi563aboq76lgoxfrcf5ugv3ctq/metadata.json
IPFS of structure file: 
bafybeibma3xvxfx636posmwumtb3pdgi4vf47qlm5w234sjb3554jbkohi/AF-Q59V93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE003902db888E1BF0c2d1b36b7F21a1c2D402E3C
First NFT owner address (bech32): 
genesis1uqpeqtdc3rsm7rpdrvmt0us6rsk5qt3uwe8qdk
Current NFT ID #236387 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
236387
Accession (UniProt):
Q59V93
Name::
Very-long-chain 3-oxoacyl-CoA reductase
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q59V93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59V93|MKAR_CANAL Very-long-chain 3-oxoacyl-CoA reductase OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=CAALFM_CR06070WA PE=3 SV=3 MPFTQFLDKYSDNLAIQYAIIFALLLGVFKLTVFSLKFASLIYDIFLAPATDFSKYGAASGKWAVVTGASDGIGKEYAFQLAKKGFSIVLVSRTQSKLELIATEIESKYKVNTKIVAFDASTDDEENYLKLEKAVFDLPVTILINNVGQSHSIPVPFLKTEKKELKDIITINTTATLRITQIVAPIIVSTVENPHPKQLRGLILTMGSFGGLLPTPYLATYSGSKSFLQAWSAALAGELQADHVDVELVISYLVASAMSKIKRTSLSIPNPKQFVTSTLNGVGRRNGAQERFATSTPYWTHALMHFAIDNTVGVYSKIANKLNLQMHQSIRRRALKKAARLAAAAEKKD