Q1MQJ3 AF NFT

Dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid2uvm6fhdlgfx6bfakjdjyqnihupigy373gapvefxoj4grmo766e/metadata.json
IPFS of structure file: 
bafybeianldhmwmjkwivb7odvanmae6tfxxhqfy6zq3docp46g7dxu2rtc4/AF-Q1MQJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa870d516e0F9a40516E0De78529921327CFBc8ee
First NFT owner address (bech32): 
genesis14pcd29hqlxjq29hqmeu99xfpxf70hj8wwc3kzy
Current NFT ID #378336 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378336
Accession (UniProt):
Q1MQJ3
Name::
Dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Lawsonia intracellularis (strain PHE/MN1-00)

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 Q1MQJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1MQJ3|RLMN_LAWIP Dual-specificity RNA methyltransferase RlmN OS=Lawsonia intracellularis (strain PHE/MN1-00) OX=363253 GN=rlmN PE=3 SV=1 MINLLNITYPEFESLIVTTLQEKTYRAMQIWQWVWQKQITDIESMTNLPQKIRASLTALIKINLPEIVTIQQSSDGTKKFLLRLSDGALIETVLIPSIDKAGNIRITQCLSSQVGCSMGCTFCSTATMGFIRNLTAGEIVSQVLLAKLHLNDNKPDKPIIRNIVFMGMGEPLLNLTELTRALHILHSEKGLNFSARRITVSTCGIKKGIQALSENGLAFLALSLHASNQELRSTIMPKAAKWDLKELIDTLKNYSLKKREKITFEYLLLGGINDSPEHAKELAKLITDIKGKLNLIPYNPAQGQPYLKPTEENILKFQKVLWSKGIVTILRKSKGQDINAACGQLKTTYLSQSSSTIY