Q16NS8 AF NFT

Protein arginine N-methyltransferase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaw5pq5vhck75fxsw2bwjl6ryhgs6ro5vbc4y2obcvvtadim2m3me/metadata.json
IPFS of structure file: 
bafybeiecfhj3xks5y3ijlfsy2ezxjjngdzzizkbiws2zb6o63ces47qnuu/AF-Q16NS8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #16444 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16444
Accession (UniProt):
Q16NS8
Name::
Protein arginine N-methyltransferase 7
Experimental Method:
Predicted structure
Sequence source:
AEDES AEGYPTI

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 Q16NS8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q16NS8|ANM7_AEDAE Protein arginine N-methyltransferase 7 OS=Aedes aegypti OX=7159 GN=Art7 PE=3 SV=1 MHSDSDDYFSGDDDDFDRQQEIARSAFADMCHDWERNQKYDRALQLTIERLHCEGKEAHVLDIGTGSGLLSMMAVRAGADSVTACEAFRPMADCAERVIASNGMGDRIRLVKKKSTELKVGAGKDMERKANVLVTELFDTELIGEGAIATYRHALQFLLEEGCRVIPDKATVFAQVVECPLAMSWQTPKLLCSSDGDVLLRVPEEMVNCRGSSAVFDVQLSQLPLESFNALSEPIPVFEFDWSSREALKFKRHSRNLLKVQSSGIPQAVFMWWDLKMDLEGTVLLSCAPFWAHPDFEGLKTQKQNDSIPEPNLIPWRDHWMQAIYFLPHSKTPLAKGEEIALDAFHDEFSWWFGLNDLSLDPGHCSCGMHIAYSRSRIGQLNDGPRNKRILNYLEEVLDKNSVVLVLGDGSLLGLSIRAMGAKKVILVETNQTSRHCMERFVEHNGLENVEILSCLDDLTPDATADITHIFGEPFFTSAILPWENAIQFIWELNRVKALLNHEVSVIPHSFSIYGVAVEFLDLQKISAPLGTCEGFDLSLMDRMIEEHSKVADSPVEAQPLWEYPCLPLGPKCKMITINVAEGSQNQLEQGKITLTRHHEIKECNGIALWAEWHMGKNVSPKNTISSGPLSVIDEASELPVRPLQWNSNWRQGVHLLRKPLEESKMFLSWTVKYNAQLKTCYFKFD