Q6PCI6 AF NFT

Protein arginine N-methyltransferase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicrylvoy7olflw2ca2k6sxarjuo5dkiab5xkkj2hpcs4ooyjxuloq/metadata.json
IPFS of structure file: 
bafybeibh262vp2xccypw7lfrzhrbwy2lw3uy63ffwrij7tvgnoggsaa2ey/AF-Q6PCI6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29894F62A9f25abd629a1bF7686E1c61F21B176f
First NFT owner address (bech32): 
genesis19xy57c4f7fdt6c56r0mksmsuv8epk9m00hcc4y
Current NFT ID #16471 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16471
Accession (UniProt):
Q6PCI6
Name::
Protein arginine N-methyltransferase 7
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q6PCI6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PCI6|ANM7_XENLA Protein arginine N-methyltransferase 7 OS=Xenopus laevis OX=8355 GN=prmt7 PE=2 SV=1 MKVFCGRVNPTTGAMDWVEEDEHYDYHQEIARSSYADMLHDKDRNEKYYQGICAAVRRVKQRGQEAVVLDIGTGTGLLSMMAVTAGADCCYAIEVFKPMSDAAVQIVKANGFSDKIKVINKHSTEVTVGPDGDMKTKANILITELFDTELIGEGALPSYEHAQHNLMQETWEAVPHRATVFAQLVESTRLWSWNKLFPLNLETGDIKPHPELETCPGAPSVCDIQLSQLNPRDFKILSEVLCVFRVDFSCQVSSAPTSHPVHFTSLASGAAQVVLSWWEIDMDPDGSITCTMQPSWMYETQQSVPWRDHWMQCVYFLPKECSVTQGEVCCLTAHQDDYCVWYSLNKSSAENDPVCRERPTCHCGAHITWNRARFGELNDRHRTQQYFEALKKVVTPSSTCLCVSDGSLLPVLAHSLGAKQIYTLESSSIAQHLMKKLFQVNHLGEKIQVLHKSADSLITADFEDRKISTLIGEPFFTTNLLPWHNLYFWYSRTALSTNLAKDCTVLPLSASLHVVAVEFKDLWRIRSPCGMCEGFDVSIMDKMIKNSLNFRESQEAEPHPLWEYPCRALSEPIQVMTFNFTEPVPTEEIRASGSLNLVRSGQCHGAVLWMVYELTKEITVSTGLIGISEEMGECQWYPHRKQGVYFFSSILNPQTIPAQSPSSVSYSVTFIPKEGDIRMCFEPDF