Q723G9 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedy36hx2av44y55k7s7knhjnjmt55mfiycc4tmt26os64byzqbpu/metadata.json
IPFS of structure file: 
bafybeibwv55oicu3u652qpqrovj5v5ecelrrnhu7hclcr6eopxrzmwfxm4/AF-Q723G9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #378350 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378350
Accession (UniProt):
Q723G9
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Listeria monocytogenes serotype 4b (strain F2365)

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 Q723G9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q723G9|RLMN_LISMF Probable dual-specificity RNA methyltransferase RlmN OS=Listeria monocytogenes serotype 4b (strain F2365) OX=265669 GN=rlmN PE=3 SV=1 MEKSSIYGLTWTKLTEWLEAHGQKKFRATQVWDWLYRKRVKTFEEMSNVPKETIELLTANFVMNTLEEQVVQESTDGTTKYLFKLSDGNLIETVMMKQEYGLSVCVTTQVGCNIGCTFCASGLLKKSRDLTAGEIVEQIMNVQHYLDGRNLEERVSHVVVMGIGEPFDNYDNVMDFLRVINHDKGLAIGARHITVSTSGLAPRIIDFANEDFQVNLAISLHAPNNELRTSIMRINKTYSIEKLMEAIHYYVNKTNRRITFEYIMLKGVNDHKKEALELAALLGEHRHLAYVNLIPYNPVDEHIDYERSTKEDVLAFYDTLKKNGINCVIRREHGTDIDAACGQLRSKQIKRVGVRERMKQKQAAAEE