Q7QIL2 AF NFT

Protein arginine N-methyltransferase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeignxn34bavlvhwh3nc4syimelu64j2u4y4xigyiuwt2aj2kgigbly/metadata.json
IPFS of structure file: 
bafybeib2mjln26l5t3bboleyzumsfxvwngkg23wm3no7vpdt66rnmdcmvq/AF-Q7QIL2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #16445 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16445
Accession (UniProt):
Q7QIL2
Name::
Protein arginine N-methyltransferase 7
Experimental Method:
Predicted structure
Sequence source:
ANOPHELES GAMBIAE

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 Q7QIL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7QIL2|ANM7_ANOGA Protein arginine N-methyltransferase 7 OS=Anopheles gambiae OX=7165 GN=Art7 PE=3 SV=4 MEDTFQDSASEDGGFDLRQEIARSAFADMCHDWERNQKYDRALQLTIARLHAAGQQAHVLDIGTGSGLLSMMAIRAGADSVVACEAFRPMADCAELIIAANGMQDRIRLVKKRSTKVTVGPGQDMERRANVLVTELFDTELIGEGALGTYRHALQHLLTEDVLTIPHQATVYAQVVECPLALSWQQLKTLSNADGDILLRVPPEVATCRGSSAVFDIQLSQLPAGSFNVLTDPVPVFKFAWSKHQELINDRCEQSVCHARTAGFPQAVFMWWDLTMDREGDVLLSCAPYWAHPEHEALKKKHSDNGSKRRLPEGNYIPWRDHWMQAVYFLPPLKIPLQRGQQFVLQSYHDEFSLWFGVGEQSVKEPLTAPHCTCGWHIAQSRSRIGQLNDSLRNKRYLNYFERVFSSDSVVLVLSEGSLLGLAAARMGVKQVLLYEPNAISRRCMEAFVEHNSVANVRFLPSADALEPEQAATITHVFAEPHFPSAILPWDNLHYGDLLKNLRPLLPASVTVIPASGTLYALPVEFVDLYKINAPLGSCEGFDLTLMDQLIDQHSTFADSPVEAQPLWEYPSFPLAGTTRLIEINFVKDFEQSKLERGELFVSEPERLNGIAIWIDWHLDGSHSPKTTISSGPLVPVEESSDEPTRWNTNWRQGVHLLRKTPNRKGTIPWSVKFNPVLSNVYFRFDEEEQ