Q5ALL3 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgmseurchqe6nateb6m3iccwxbplwf73ni43ohdwguars5lxlkpm/metadata.json
IPFS of structure file: 
bafybeiey4nh4nm37o4adio2giewsclzneav6havy62izk4hzsxpbl5oqea/AF-Q5ALL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #106903 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
106903
Accession (UniProt):
Q5ALL3
Name::
tRNA-dihydrouridine(47) synthase [NAD(P)(+)]
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 Q5ALL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ALL3|DUS3_CANAL tRNA-dihydrouridine(47) synthase [NAD(P)(+)] OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=DUS3 PE=3 SV=2 MITPEKRTLDEPEVGSESKKPNNSTHVKGVAAIKAEYLVPTSSLTVVEYDDDEAEGGDREGESKPRNKKKQKGQNHKRDLKQKKDIIKLCPSLIDPEDDRICQVGADKCRFHHDIASYLESKPQDIDGICPVFEALGYCPTGIKCRWLKSHYNPETSKLIKDGDKMETAKTTNYEVNHIDKDQKMEMQKKKYFFKISQPVIKYLDSRIQNEANLAKQKEERKDNEASYVEAPFTIAEKKKLYLRNAKIVSPLTTVGNLPYRRLMKTLGADVTYSEMALSVPLIQGHNPEWALPKAHVSEYPGFGVQIASSKHWAAAKAAEAIYRNTTHVSELNLNCGCPIDLLYKQGQGSALLDQPSKLLRILSGMNASSGDIPVTVKIRTGIKEGKNTAVNLVSRVLEEGNAAAITLHGRSRQQRYSKEADWNYIAEVGTVVKNWNEQQKEDKEGRDRDPVYFVGNGDVYSHEDWYEHVNTDGIDSVMVARGALIKPWIFEEVEAQQYLDKSSSERLDILGKFAKYAIEHWGSDEYGVGLSRRFMCEFLSFTHRYIPVGIMERLPPKLNERPPKWVGRNDLETLLASTDYKDWIKITEMFLGKATDDFQFTPKHKSNAYENK