C0ZY23 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqqfv77ga65tmxoy4wf67qqfxivg5ctxkkkjiqagj7a5cgo4yhtq/metadata.json
IPFS of structure file: 
bafybeigxaaiywvmpo3f34n7z6wjiio6bvunwpzdsosdiucw6qgo6uq2h6u/AF-C0ZY23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8E8D80fE94Dd5e533A2E21A78270Ddf47E8CB724
First NFT owner address (bech32): 
genesis136xcpl55m409xw3wyxncyuxa73lgedeyuuu5ds
Current NFT ID #378479 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378479
Accession (UniProt):
C0ZY23
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Rhodococcus erythropolis (strain PR4 / NBRC 100887)

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 C0ZY23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0ZY23|RLMN_RHOE4 Probable dual-specificity RNA methyltransferase RlmN OS=Rhodococcus erythropolis (strain PR4 / NBRC 100887) OX=234621 GN=rlmN PE=3 SV=1 MAASLPLVFTAPKRGMPPRHLADLDSAERKEAVKELGLPAFRADQLARQYYARLEADPEKMTDLPASVREKVGESLFPTLLTPIKHLACDSGDTRKTLWKAHDGTLLESVLMRYPDRATLCISSQAGCGMACPFCATGQGGLDRNLSTAEIVDQVREAAAAMRDGDVAGGPGRLSNVVFMGMGEPLANYKRVVAAVRRITSPAPDGLGLSQRSVTVSTVGLAPAIRKLADEGLSVTLAVSLHTPDDELRDTLVPVNNRWSVSEVLQAARYYADKTGRRVSIEYAMIKNVNDQPWRADMLGKKLKKALGGLVHVNLIPLNPTPGSEWDASPKDVEREFVRRVIAQGVSCTVRDTRGQEIAAACGQLAAEN