Q59YV0 AF NFT

Lon protease homolog 2, peroxisomal

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigck674fozn6wyrjn3eedyoewa4yjzapwt2cmgksz7qitprlalqnq/metadata.json
IPFS of structure file: 
bafybeigtua2oznnn6xomck7rj3vx4tfnov7dqt6v7qnqxwa32t2lgc72sq/AF-Q59YV0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4F015BE9Fc88b150093089bCcd861f892dBcD42
First NFT owner address (bech32): 
genesis1kncpt05lez932qynpzduekrplzfdhn2zfewqg0
Current NFT ID #216704 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
216704
Accession (UniProt):
Q59YV0
Name::
Lon protease homolog 2, peroxisomal
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 Q59YV0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59YV0|LONP2_CANAL Lon protease homolog 2, peroxisomal OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=CAALFM_C305360CA PE=3 SV=1 MAKYNNNSNASKATNLKQQVVLPTYTLDSNLVLLPGIMYNVTFSRFKAAALLYRYKNFISQVSIINNLLNEYDFNSGNTNEEERFEAEQKLEQPETYHEINPSVISPEAVEGIKEFFQYETGMKTGRGVEKGVKSTQNDAIKEFDWLTLAIIPNLEKIKNPETNSSAGDGSSSSKVVTVARIVGIVDDTTNIKLTLQAITRGVQIKDDGKNNHHKRGLKTNEQVIGIDWNHNVSDLKGKFTTLQKNYQQLFQSIDKFLIDYREALDYNKNNSNNNNNNNNNRNGNLSLIKGNSTTYSNNKNYDDKPNQDIKSQNLLTLNPLANALYMQLVGSKDFNKAFHRLQKLFSQVIQGDEYKIDNETYLRLVDLTCGILPFPNFQKLALLNEYKLDDRSILINEMMSQLIQIFGNLQTNTSFVNSWFHSEATNIQKATVVANQLKSIRNLLEGMTKNRPIKPNKRNSGPASSAPSFSNGKTPPARPKVNHHQDGSHGHDSDYDNNDDDDDGDEDLKAIFNFIKHKLPTISSLSADSKRLILKDFKRVKASANSPGGGGNSDFHVLRNYLEIVMDIPWDNYVTKFKSNKDIDLKLAKKQLDDDHYGLEHVKKRLIQYLVVLKLLGINAEKDQALQSKDEENSKNPAHSDSNSNSNCNSNSRSLTKSPTSSLASKTPSSIVIANNDETYLAKQQAKTRNQKSITEAKTNVSTKMVPSNESIQVSKNNKSPIIMLAGPPGTGKTSLAKSIASALGRNFQRISLGGIKDESEIRGHRRTYVGAMPGLLIQALRKSRCMNPVILLDEIDKVIGGNSGGVNKFNGDPSAALLEVLDPEQNNTFIDHYLGFPVDLSQVIFICTANDPWNMTRPLLDRLEMIEIGAYDYNEKLIIGKKYLLPRQIKRNGFPVTKVGKNNTGNQDEFIKINDDTMKKVILDYTRGEAGVRNFERRLGTLCRFKAVEYCEWLNKDIKNYNPIIDENDLPIYLGVPYSSGDVTTEGTVGVGVVHGLSYNSDGSGSVLVFESIGFDRRISNGNKEHNGGDGSGGNGATLNMTGRLGEVLMESGKIGLVFIKSMIYKNILKFDNNNNNNTNRHLLLDKYNNLDIHMHVPMGSVSKDGPSAGVTMALSFLSVLLDKPVPSDIAMTGEITLRGIVLPIGGVKEKLMGAHLNANIKRMIVPRENRKDLIKEYSRSIEEAGEVLDHHLINDLIKDNEDNEFKLTQVEDYYQNKYGISLFYAKEFYDIIKIVWNEDEVLLKENNSRLLEYHI