Q6C4K3 AF NFT

tRNA-dihydrouridine(47) synthase [NAD(P)(+)]

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaenslqg7thsdfhonui5u2kncqrwf5r4pinf5ptfklfssewy3m45u/metadata.json
IPFS of structure file: 
bafybeiazxfilm6gc2xf6xw6ppjn7b7qiqz7pklisl6uneq7zf5bpasjely/AF-Q6C4K3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x060A96566bD4c5307580a69e9a7f20B8092e47B1
First NFT owner address (bech32): 
genesis1qc9fv4nt6nznqavq560f5leqhqyju3a3judr62
Current NFT ID #106928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
106928
Accession (UniProt):
Q6C4K3
Name::
tRNA-dihydrouridine(47) synthase [NAD(P)(+)]
Experimental Method:
Predicted structure
Sequence source:
YARROWIA LIPOLYTICA (STRAIN CLIB 122 / E 150)

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 Q6C4K3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6C4K3|DUS3_YARLI tRNA-dihydrouridine(47) synthase [NAD(P)(+)] OS=Yarrowia lipolytica (strain CLIB 122 / E 150) OX=284591 GN=DUS3 PE=3 SV=1 MSDEPVVKKTKVEDLPDTIVDSVYEKQLAEGRVRGVASIKPEYLVARASADARDAPPSVNDDLAEGGEKPEEKKKGGQNKNRSLKQRKDAIKMCSSALQFKEDGSPQECSYGDKCKFEHDLQKYLESKPKDIEGVCPVFDLTGQCPQGYKCRWLSSHRDSEGKLLVDEEKKKANADNKELNHVFKHLNPLQRKKYDLSKSDEAIKLIDAQIVRDEDDEQTKLEKKETIEIDTGRIRPSEKKKLDLKGKYIVSPLTTVGNLPYRRLMKDLGADVTYGEMALTLPLIQGHKAEWALTRCHSSEVTEGNHFGVQVTAPKHWQAIKAAQAVSELCTGISEINLNCGCPIDLVYRQGAGSALMDQQGKTARIVRGMSMVSGDVPITVKMRTGTGSTPTAKKLTARLLAEGQTAAFTLHGRSRAQRYTKLADWNYIREVADSVVNTRDDVREKSELDDHVISHPTWVVGNGDCYTWSDWHRAVDEAHVDSVMVARGALIKPWIFEEVESRQHIDKSATERLEYFQKFAQYGLEHWGSDQYGVNQTRRYLCEFMSFTHRYVPSGILEYLPAKMNDRPDLWKGRDEMETLLGSSDYRDWIKVTERFLGPVGDEFEFTPKHKSNAYPTESG