A1CT57 AF NFT

mRNA cap guanine-N7 methyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnd3qr7m2swsljwtogpr5ps2zlxptutoszsk5v363g4osddx3e3e/metadata.json
IPFS of structure file: 
bafybeihs7hweln7mb4k45kedtvntaaqkmys7dpzctkvk7fhvivi3yzqkpy/AF-A1CT57-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB7bc139753425F98E4FDFB69D0a6e99256F0ECfB
First NFT owner address (bech32): 
genesis1k77p896ngf0e3e8ald5apfhfjft0pm8m6q5y8k
Current NFT ID #226191 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
226191
Accession (UniProt):
A1CT57
Name::
mRNA cap guanine-N7 methyltransferase
Experimental Method:
Predicted structure
Sequence source:
Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107)

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 A1CT57 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1CT57|MCES_ASPCL mRNA cap guanine-N7 methyltransferase OS=Aspergillus clavatus (strain ATCC 1007 / CBS 513.65 / DSM 816 / NCTC 3887 / NRRL 1 / QM 1276 / 107) OX=344612 GN=abd1 PE=3 SV=1 MENRSSSGTPRPSAGSPDAAKRPSETSPAAGRIPAGQNGSSGDKKRKVTEEGEASEKSEPPADRPMSKRKRMEERHQKLRKRGRTPPSAYSRRDAEAAPVPNRNRDDPANRSLSPLPHRSPTPEEQPRQRKRPGGGARMGLVDRETLRRRQEERERALVEEAMRTSQGRGVTDVVRQHYNAVPQRGREWRKTESKIKGLRSFNNWIKSTLIQKFSPDEEFLARLNDGRDWADDSGPPPAEEKRLLVVDLGCGKGGDLGKWQLAPQPVELYVGLDPAEVSIVQARERYNSMKSGRGNRGRRNPLFHGEFAPKDCFGEWLGDIGIVQQVGIDPNAGPGGSVMSSRWGGGGFDVVASMFAIHYAFESEEKARQMLRNVAGCLKKGGRFLGVCPNSDIISARVVELNAKRKAREEQEKKEKSDEAPEDGEVEEDTKLEWGNSIYRVQFPGKTPEDGIFRPPFGWKYSYFMEEAVEEVPEYVVPWEAFRALTEDYNLELQYRKPFLGIWGDEKDDRELGPLSERMGVRDRNTGELLMTEEEKEAANFYHAFCFYKV