Q0S277 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaccuo4nc4aqgz3hr22kzcilkgyb3h63rwmtrkxkcjfiodfuadc54/metadata.json
IPFS of structure file: 
bafybeiema36bepzqoaw4hq262ndbjoy255ehlfqlkbtihvv2np75nh5lce/AF-Q0S277-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #378481 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378481
Accession (UniProt):
Q0S277
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
RHODOCOCCUS JOSTII (STRAIN RHA1)

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 Q0S277 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0S277|RLMN_RHOJR Probable dual-specificity RNA methyltransferase RlmN OS=Rhodococcus jostii (strain RHA1) OX=101510 GN=rlmN PE=3 SV=1 MAVSLPLVFTAPRRGMPPKHLADLDSAERREAVKELGLPGFRADQLARQYYARLEADPEKMTDLPAAVREQVGAALFPTLLTPVKHLACDGGDTRKTLWKANDGTLLESVLMRYPDRATLCISSQAGCGMACPFCATGQGGLQRNLSTAEIVDQVRAAAAALRDGDVHGGPGRLSNVVFMGMGEPLANYKRVVAAVRRITSPAPDGLGLSQRSVTVSTVGLAPAIRKLADEDLSVTLAVSLHTPDDELRDTLVPVNNRWSVAEVLDAARYYADKSGRRVSIEYALIRDVNDQPWRADLLGKKLRKALGPLVHVNLIPLNPTPGSEWDASPKPVEKEFVRRVLAQGVSCTVRDTRGQEIAAACGQLAAEN