Q4WVH4 AF NFT

Histone-lysine N-methyltransferase, H3 lysine-79 specific

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidm7yavftwcjuapewujaxhq5mpyrubf3riri5zbdxaffkokbzoide/metadata.json
IPFS of structure file: 
bafybeia5k3fqd5wsd5i77z3ugjguuhym5qtupbseoar23wacrln4n5svim/AF-Q4WVH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #103360 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
103360
Accession (UniProt):
Q4WVH4
Name::
Histone-lysine N-methyltransferase, H3 lysine-79 specific
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WVH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WVH4|DOT1_ASPFU Histone-lysine N-methyltransferase, H3 lysine-79 specific OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=dot1 PE=3 SV=1 MGFFDHLQKGGAFSLQAQKPQIRKVVQTRPPPPSRSSSHTPVRSLSQTSPPGRVKRPRDSTSRSVSRDPDHRPSKRLSTPLRNRKRPTPEQRFSSDDDASDTDTSFELRKRARTEDSAEPDLARRIRSLKAFSEENVKPLPLVHAADITSKQKAGNFRRAFGGADRPTEILLQYPSASLKERFNLVVPRDNDDFKPIDDIVHVIDIVSENYIPESEADFFNNESTGIKRRLRRALAHSSETEFREAVASYNREIERLRRSGAIAKHLDATHRLNLPLVERILTQIYARTVSPRVESLRRYENGTDNVYGELLPRFISTIFKETRLKSGHVFVDLGSGVGNVVLQAALEIGCESWGCEMMANACDLAELQQTEFRARCRLWGIAPGKTNLVRGDFLQEQSIIDVLKRADVVLINNQAFTPQLNNEIINHFLDMKEGCQIVSLKSFVPAGHKIQSRNLYSPINLLKVKQLNYWSNSVSWTDVGGTYFIATKDSSRLKAFADSME