A2AV36 AF NFT

Protein arginine N-methyltransferase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgvs3mjlp5gvpdfayxtgtaweg5nhufe6elwkhcx27ouxxh6lisui/metadata.json
IPFS of structure file: 
bafybeietl4xw3fmtuqnvuws5cp2xa5c54lxewzxkl3mwcjjx2hw4wzvsoe/AF-A2AV36-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8ed25CF7166D65bDC663E5A5EF1cEb140cBB38E5
First NFT owner address (bech32): 
genesis13mf9eackd4jmm3nrukj7788tzsxtkw89rltz8l
Current NFT ID #16452 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16452
Accession (UniProt):
A2AV36
Name::
Protein arginine N-methyltransferase 7
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 A2AV36 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2AV36|ANM7_DANRE Protein arginine N-methyltransferase 7 OS=Danio rerio OX=7955 GN=prmt7 PE=2 SV=1 MKTFCGRANPTTGALDWVEESEEYDYHQEIARSCYADMLHDKDRNEKYYEGIRAAVRRVKARGERPVVLDIGTGTGLLSMMAVTAGADFCYAIEVFKPMAQAASCIVERNGFSDKIKIINKHSTEVTVGPDGDMQERANILVTELFDTELIGEGALPSYEHAHMHLVQTGCEAVPHRATIYAQLVESDMLWKWAQMRPIDVDGHRLMPPGAVQECAGAPSVCDIQLSQVPTDAFTAISPVCTMFSVDFSKPVSSAAQSYTVRFKSQTGGRAQVVLSWWDIDMDPEGNIVCTMAPSWSYADPHAYPWRDHWMQSVYFLPAEENVSEGEELMLMVSHDDYSLWYSLTHSEQNDVRVAPFRPCCTCQAHLVWTRPRFGELNDEQRTESYVSALRSILKPDSVCLSVSDGSLLPVFAHLLGSKKVFSLESSGMAKQVIEQVLHTNSLKDGVQLLGIRAEQLSLADLDGNQISVLMGEPYFSTSLLPWHSLFFWYCRTAVAQLLQPDATILPRAATLYAVAVEFQDLWRIRFPCGTCEGFDVSPMDEMIQRSLDFRESWEAEPHPLWEYPCRALTKPCPVMTFDFTQCVPEQPISSDGAVPFTGRGRCHGVALWMEYQLTDDISVSMGLTKAVSQEGACEWNPHRKQGVFFFRSAKETSGDGREDLSYSLTFEPHSGDIKMDFSITES