Q6D273 AF NFT

Dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6qbwzip6n77hn5dfm27iptgs6l7sicm22mqmzdswm52ccdf4nia/metadata.json
IPFS of structure file: 
bafybeihkvcmubizvq2xxtuinxuo2zfw4rordz4zxzkeg6ac7xdsj35vmda/AF-Q6D273-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf9BD33f98eaEF245525fFf103d2CCb61Dcb4e196
First NFT owner address (bech32): 
genesis1lx7n87vw4mey25jllugr6txtv8wtfcvkgl3p35
Current NFT ID #378418 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378418
Accession (UniProt):
Q6D273
Name::
Dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
PECTOBACTERIUM ATROSEPTICUM (STRAIN SCRI 1043 / ATCC BAA-672)

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 Q6D273 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6D273|RLMN_PECAS Dual-specificity RNA methyltransferase RlmN OS=Pectobacterium atrosepticum (strain SCRI 1043 / ATCC BAA-672) OX=218491 GN=rlmN PE=3 SV=1 MSETIVSEQTVSEFSPASADASQSVKASVGKINLLDLNRQQMRDLFMSMGEKPFRADQVMKWMYHYCCDDFNQMTDINKVFRTKLQEIAEIRAPEVVDEQRSSDGTIKWAILVGGQRVETVYIPEEERATLCVSSQVGCALECKFCSTAQQGFNRNLRVSEIIGQVWRAAKIIGAFKVTGQRPITNVVMMGMGEPLLNLTNVVPAMEIMLDDFGFGLSKRRVTLSTSGVVPALDKLGDMIDVALAISLHAPTDDIRNEIMPINKKYNIEMFLSAVRRYLEKSNANQGRVTVEYVMLDHINDGTEHAHQLAECLKDTPCKINLIPWNPFPGAPYGRSSNSRVDRFSKVLMEYGFTTIVRKTRGDDIDAACGQLAGEVVDRTKRTLKKKMAGEPIAVKAV