Q4P622 Very-long-chain 3-oxoacyl-CoA reductase MolNFT, Molecular NFT on GenesisL1

Very-long-chain 3-oxoacyl-CoA reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeic3jfy3lzxvmfehck7we523tgkkw7tt6o5fepbsfjwmznqyhvjlri/metadata.json

IPFS of structure file:

bafybeiarocju6bv7ihshbw2ib4v2a3ak3cjotg2mui7w3nxkgfkvink7a4/AF-Q4P622-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4bC225Cd2778aD8b434c09FeFE8BcBb702fea729

First NFT owner address (bech32):

genesis1f0pztnf80zkcks6vp8l0az7tkup0afefmk9lmj

Current NFT ID #236410 owner (web3):

0x9a16e2ba530Eb8eb0711578707D5d2408e91C7E5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
236410
Accession (UniProt):
Q4P622
Name::
Very-long-chain 3-oxoacyl-CoA reductase
Experimental Method:
Predicted structure
Sequence source:
USTILAGO MAYDIS (STRAIN 521 / FGSC 9021)

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 Q4P622 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4P622|MKAR_USTMA Very-long-chain 3-oxoacyl-CoA reductase OS=Ustilago maydis (strain 521 / FGSC 9021) OX=237631 GN=UMAG_04441 PE=3 SV=1 MAIEQHIDGLLRHVGLRVDHGLTPVSASLVLLAGIGALSVGTFALRLVRLFADVYILPGNSVSKYGANKKDLTRASWAVVTGATDGIGREFALQLARKGFNIVLVSRSPEKLGSVAAEIEAATPGVRTKTQAIDFALGDERQYEGLEHTVKGLNVGVLVNNVGKSHNMPVTFTETSEEEMEDIIEINVVSVLRVSKMIIPGMVDRKRGLVLNLGSFAGQVTTPMLATYAGSKAFLSGWSQALGEEVKRSNVDVSLLNTYFVVSNLSKIRKSSAMIPTPKQYVTQVLKTLGRNGGAVGRPYTATPWPGHALVDWATTFVLPRGWLLSYTYGQQVATRKRALNKAHKAVKSA

Q4P622 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q4P622 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience