Q2TZH4 AF NFT

Histone-lysine N-methyltransferase set9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6kncgmimhw655sies7ao5jhzpjb5xkagxd5gadathqpc5d4l6by/metadata.json
IPFS of structure file: 
bafybeidgczhleks64ze7jtjv77jx5rejuyljxrqxjwq2x5223m4zm7tslm/AF-Q2TZH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1f58318E3C996f6a8937e4709e93051027111758
First NFT owner address (bech32): 
genesis1ravrrr3un9hk4zfhu3cfayc9zqn3z96c95056e
Current NFT ID #426856 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
426856
Accession (UniProt):
Q2TZH4
Name::
Histone-lysine N-methyltransferase set9
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS ORYZAE (STRAIN ATCC 42149 / RIB 40)

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 Q2TZH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2TZH4|SET9_ASPOR Histone-lysine N-methyltransferase set9 OS=Aspergillus oryzae (strain ATCC 42149 / RIB 40) OX=510516 GN=set9 PE=3 SV=1 MPSSKARDSPSVERRDRLTLAKLASYDDVATDALVDRAYFWTNTRKNRTKYIPVRGVHEDDVARILLHEVIVAKDSAQAEKQLLAMSGMKKYLAKLPNDREKEWFRRHLRKYIQMYLPDSPFEVTTTNRYTITEHEAAICARKFIKQGQEIKYLSGTLVPMTREEEQELDLKRKDFSIVMSSRRKTPSFFLGPARFANHDCNANGRLVTRGSEGMQVVATRDIYIGEEITVSYGDDYFGIDNCECLCLTCERAVRNGWAPHVDSEEGSSKASTPALNDEAISNDSLLSPRKRKHHLDSDSDISPSSTPRKRSKFTRQSSKLRSAVSLADFAPVGSGSDNPPPQAETSIVPETTGAASITNDTIVPASGSAVEVSQASATDCDSSPSLEADESHHSSTSTTPTSIGDVKIKVEDTVEASLTESASATHITLSITGQPHNDRHPPGTDNDMLSELSEITDNPQKPKRSRGSRWKHGVVPSVEEESHRVRVPGDYTKTSKLLAQAYDRWVDCHTCNVWFVQHNSYLTRRECPRCERHSMLYGFRWPKTDKEGSMDDEERVMDHRTVHRFLYPEEEARISRKDRGVSFGVTPTPELSEPRTETEDSEACDDRRNTRASRTRTRSLRMTM