Q5YS67 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxymlyh56tg6bbudhy22fha2c2tdvjklfehk434lxlhqdmteuoim/metadata.json
IPFS of structure file: 
bafybeickzh7npu4wxgx77d7f2zct4yiwm5xaqfxbml34sn3s4p4vnuutna/AF-Q5YS67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBC763ADaC023e8C2B3dd7948A160EF985EBAEA3e
First NFT owner address (bech32): 
genesis1h3mr4kkqy05v9v7a09y2zc80np0t46374j82qu
Current NFT ID #378403 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378403
Accession (UniProt):
Q5YS67
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
NOCARDIA FARCINICA (STRAIN IFM 10152)

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 Q5YS67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5YS67|RLMN_NOCFA Probable dual-specificity RNA methyltransferase RlmN OS=Nocardia farcinica (strain IFM 10152) OX=247156 GN=rlmN PE=3 SV=1 MTVSLPLVFDAPRRGMPPRHLADLDAEQRRAAVAELGLPKFRADQIARQYYGRLEADPARMTDLPAPVREQIGAALFPRLLDVVKHVACDDGRTRKTLWRAGDGTLLESVLMRYADRNTLCISSQAGCGMACPFCATGQGGLNRNLSTAEIVDQVRAAAAALRDGAVAGGPGRLSNIVFMGMGEPLANYKRVVAAVRRITAPAPDGLGISQRNVVVSTVGLAPAIRKLADEGLSVTLAVSLHTPDDELRDTLVPVNNRWPVAEVLDAARYYADTTGRRVSVEYALIRDINDQPWRADMLGAKLHKALGSRVHVNVIPLNPTPGSKWDASPKPVEREFVRRVNEQGVPCTVRDTRGQEIAAACGQLAAEN