Q4JV24 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbuqqxegh2ctzlgjouhl3dw67s4calpyek6dptifchymkbddr2ke/metadata.json
IPFS of structure file: 
bafybeidkpavxyx77qn4zxnls74a33lus75e7gr4qjzcbmrd2alahkdu44i/AF-Q4JV24-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #378214 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378214
Accession (UniProt):
Q4JV24
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium jeikeium (strain K411)

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 Q4JV24 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4JV24|RLMN_CORJK Probable dual-specificity RNA methyltransferase RlmN OS=Corynebacterium jeikeium (strain K411) OX=306537 GN=rlmN PE=3 SV=1 MATPVKLQFAAPKRGMPPVHMADLDEETLKERVQELGLPKFRADQIRRQYYGRLQGDPMEMTDLPESKRAAVKEALFPELMQPMRNMDADDGETRKTLWRLHDGTMLESVLMRYPGRATLCISSQAGCGMACPFCATGQGGLDRNLSVGEMVEQARAAASTMQEEGGRLSNIVFMGMGEPLANYKRVVETIRKVSAPAPDGFGISQRNITVSTVGLAPAIRKLADEEMKVRLAVSLHTPDDELRDELVPVNNRWSVEEVLDAARYYADTSGRRVSIEYALIRDMNDQPWRADLLGKKLRGALGTKVHVNLIPLNPTPGSKWDASPKDRQDEFVRRVEAQGVPCTVRDTKGQEIAAACGQLAAEER