O64894 AF NFT

Acyl-coenzyme A oxidase, peroxisomal

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawo3jjlfaswod7yismgr2mb7hrinspezr3irj44la4epzobv3bsi/metadata.json
IPFS of structure file: 
bafybeigpeijtwjzv4mohlsimme2euxh5bzfkggceezrjqgshnwwjlypufu/AF-O64894-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #6553 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
6553
Accession (UniProt):
O64894
Name::
Acyl-coenzyme A oxidase, peroxisomal
Experimental Method:
Predicted structure
Sequence source:
CUCURBITA MAXIMA

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 O64894 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O64894|ACOX2_CUCMA Acyl-coenzyme A oxidase, peroxisomal OS=Cucurbita maxima OX=3661 GN=Acx PE=1 SV=1 MASPGEPNRTAEDESQAAARRIERLSLHLTPIPLDDSQGVEMETCAAGKAKAKIEVDMGSLSLYMRGKHREIQERVFEYFNSRPELQTPVGISMADHRELCMKQLVGLVREAGIRPFRFVNEDPAKYFAIMEAVGSVDVSLAIKMGVQFSLWGGSVINLGTKKHRDRFFDGIDNVDYPGCFAMTELHHGSNVQGLQTTATFDPITDEFIINTPNDGAIKWWIGNAAVHGKFATVFAKLVLPTHDSRKTADMGVHAFIVPIRDLKSHKTLPGIEIHDCGHKVGLNGVDNGALRFRSVRIPRDNLLNRFGEVSRDGKYKSSLPSINKRFAATLGELVGGRVGLAYSSASVLKIASTIAIRYSLLRQQFGPPKQPEVSILDYQSQQHKLMPMLASTYAFHFSTMQLVEKYAQMKKTHDEELVGDVHALSAGLKAYVTSYTAKSLSTCREACGGHGYAVVNRFGTLRNDHDIFQTFEGDNTVLLQQVAAYLLKQYQEKFQGGTLAVTWNYLRESMNTYLSQPNPVTARWESADHLRDPKFQLDAFQYRTSRLLQSVAVRLRKHTKNLGSFGAWNRCLNHLLTLAESHIESVILAQFIESVQRCPNANTQATLKLVCDLYALDRIWNDIGTYRNVDYVAPNKAKAIHKLTEYLCFQVRNIAQELVDAFDLPDHVTRAPIAMKSNAYSQYTQYIGF