P56584 AF NFT

L-ornithine N(5)-monooxygenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeign2ba74ife2kl3azim6jtmnwypxkzs2wpxtsb2ybufc4vrfhofoi/metadata.json
IPFS of structure file: 
bafybeidk5jzfk3alw377dpxw4kzhiuwslwyyjqjjifrpy6dzflu6rickqa/AF-P56584-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #428694 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
428694
Accession (UniProt):
P56584
Name::
L-ornithine N(5)-monooxygenase
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 P56584 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P56584|SIDA_USTMA L-ornithine N(5)-monooxygenase OS=Ustilago maydis (strain 521 / FGSC 9021) OX=237631 GN=SID1 PE=1 SV=2 MSAPTLDVESPLAASTSSLRAMNMVSSHTTVAKDEIYDLLGIGFGPAHLALSISLRESSEANETNFKAHFLEKRGHFAWHPALLLPGSQLQVSPLKDLVTLRDPASTYSFYNYLHSHGRLARYINKEQGVPSRREWTSYLAWAARRMNQAVSYGQDVISIEPLALASASPDAKQDTVAVRPASAQEADSLCLYQVRIRDESTGHIVNRYARNLSVAVGGVPKLPPAFQAAWDEQQRAPHSIPRLVHSGFYIPSMLKLEPELHKAASLRHPDAAAQLDDSSRLRLAVIGAGQSSTEMFMNLHSRFPSAIVTMIFRASALVPSDDTGFVNSAAFDPERTDEFWQASETQRRKWLQEFKRTNYSVVRTDLLNELHDAMYDKYEVQLPEELQDPTEKQAGRMEMRRCTEVVEVTPLDDGIQLTMRDNLRNAKLETIRFDAVFLGTGFIRSPSKMRFLEQLKPFYPALDAEWMSRDTIAEEDEVSKSIDVEDEEVIERRREMLRGITRDYRLVPASAMQSDAVRSGKSSPGSGSDASSTSSQQTLASENSTENLPEASLYVLGGNEATHGLSDSLLSIVAHRAGELTTSLLQRLPRTRRGTASSAATQPAASTVASAAKTSPTVSVTQTKARQAAQVVNDKLAALSGLHLDATS