Q67PQ7 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieimhdzul3mdoi4dpx2yfrxji4rt55tl6sh2fol5qhzawnp22v2nu/metadata.json
IPFS of structure file: 
bafybeiehh4vcu6qpmslle3moymcsrp2ycxtw6boulpyj7lqmympzgsrhbe/AF-Q67PQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x84eb910c3679c45BCF3d993cb26DBa05DC144f1f
First NFT owner address (bech32): 
genesis1sn4ezrpk08z9hneany7tymd6qhwpgncllzh6x8
Current NFT ID #378612 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378612
Accession (UniProt):
Q67PQ7
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67PQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67PQ7|RLMN_SYMTH Probable dual-specificity RNA methyltransferase RlmN OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=rlmN PE=3 SV=1 MQESGYVPLKIADPALLFAELGRQPLPGMSLEEMADLMADLGEPRFRAKQLFQWVYQKGVKDFDAMTNLPARLRQHLAGTTMLRLLEKETEQHDRRTGTTKYLFRLADGSQVESVLMRQSWGNSVCVTTQVGCRMGCTFCASTVGGLVRNLTAGEIVDQIVMMQRELPQGERISTVVLMGSGEPLENYDHVLKAVRLVHDPEGLNIGYRHITISTSGIVPGMRRLAEEGLPITLALSLHAPTDELRRQLMPVARIWPLAEVLAAAREYGEKTGRRVTYEYILIEGVNDGPEEARQLARLLKGALAHVNLIPMNPVAERPQYRRPGPERVNRFKEILESNGIATTVRREMGGEIDAACGQLRNRAQRKHMGR