A6QQV6 AF NFT

Protein arginine N-methyltransferase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxdloy65iwjnf3sp5ujmhotoyesuiurh3pv7ovh4xax7e6yipgmm/metadata.json
IPFS of structure file: 
bafybeicw4dwrshe4zwcddpq25z4z5whgmx5gfdim24lmgde2vz6miee53q/AF-A6QQV6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCcE0f7d4E847A12eE8F3c53aeE79dC9c9B1cB849
First NFT owner address (bech32): 
genesis1ens0048gg7sja68nc5awu7wunjd3ewzf4avyrn
Current NFT ID #16446 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16446
Accession (UniProt):
A6QQV6
Name::
Protein arginine N-methyltransferase 7
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 A6QQV6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6QQV6|ANM7_BOVIN Protein arginine N-methyltransferase 7 OS=Bos taurus OX=9913 GN=PRMT7 PE=2 SV=1 MKVFCGRANPTTGSVEWLEEDEHYDYHQEIARSSYADMLHDKDRNMKYYQGIRAAVSRVKDRGQKALVLDIGTGTGLLSMMAVTAGADFCYAIEVFKPMADAAVKIVEKNGFSDKIKVINKHSTEVTVGPDGDMPCRANILITELFDTELIGEGALPSYEHAHRHLVQANCEAVPHRATVYAQLVESRRMWSWNKLFPIRVQTSRGERVIIPPLELERCPGAPSVCDIQLNQVSPADFTILSDVLPMFSVDFSKQVSSSAACHSRQFEPLVSGRAQVVLSWWDIEMDPEGKIKCTMAPSWAHSDPEELQWRDHWMQCVYFLPQEEPVVQGLALCLVAYHDDYCVWYSLQKTSPEKNGRVHPVRPVCDCQAHLLWNRPRFGEINDRNRTDQYIQALRTVLKPDSVCLCVSDGSLLSMLAYHLGVEQVFTIENSAVSHRLMKKIFKANHLEDKINIIEKRPELLTPADLEGKKVSLLLGEPFFTTSLLPWHNLYFWYVRTAVDQHLGPGAVVMPQAASLHVVVVEFRDLWRIRSPCGDCEGFDVHIMDDMIKRALDFRESKEAEPHPLWEYPCSSLSEPQQILTFDFRQPVPLQPIHAEGTIELRRCGRSHGAVLWMEYHLTADSTVSTGLLKSAEDEGDCCWNPHCKQAVYFFNTTLDPRAPPGSSQTVTYTVEFHPHTGDITMDFTLSDALDSGC