Q9VLP7 N6-adenosine-methyltransferase non-catalytic subunit MolNFT, Molecular NFT on GenesisL1

N6-adenosine-methyltransferase non-catalytic subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeih6s2fsmx655silth5nppgsyk2wejbpvikgcgx2c74mhxdjtijvoe/metadata.json

IPFS of structure file:

bafybeiamfeg3uiys4hoqv25rcbl2cbo2jo6it7tytohdq2q55u3lrpiuwe/AF-Q9VLP7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xC6F27A824B664EFA5726f983121805502318e85b

First NFT owner address (bech32):

genesis1cme84qjtve8054exlxp3yxq92q3336zmth60kw

Current NFT ID #230489 owner (web3):

0x1309d1b5deb373471d3FB243145F68f72a78D518

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
230489
Accession (UniProt):
Q9VLP7
Name::
N6-adenosine-methyltransferase non-catalytic subunit
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VLP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VLP7|MET14_DROME N6-adenosine-methyltransferase non-catalytic subunit OS=Drosophila melanogaster OX=7227 GN=Mettl14 PE=1 SV=1 MSDVLKSSQERSRKRRLLLAQTLGLSSVDDLKKALGNAEDINSSRQLNSGGQREEEDGGASSSKKTPNEIIYRDSSTFLKGTQSSNPHNDYCQHFVDTGQRPQNFIRDVGLADRFEEYPKLRELIKLKDKLIQDTASAPMYLKADLKSLDVKTLGAKFDVILIEPPLEEYARAAPSVATVGGAPRVFWNWDDILNLDVGEIAAHRSFVFLWCGSSEGLDMGRNCLKKWGFRRCEDICWIRTNINKPGHSKQLEPKAVFQRTKEHCLMGIKGTVRRSTDGDFIHANVDIDLIISEEEEFGSFEKPIEIFHIIEHFCLGRRRLHLFGRDSSIRPGWLTVGPELTNSNFNSELYQTYFAEAPATGCTSRIELLRPKSPPPNSKVLRGRGRGFPRGRGRPR

Q9VLP7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9VLP7 research and analysis (ICN3D with VR)

FASTA sequences

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