Q73KZ3 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibc7ebcxebyahakvji2mffqbxmen5nw3r77cd3qqhj3mwbbx627rq/metadata.json
IPFS of structure file: 
bafybeihbfjamdrvucuaj7pzcxvwastfizkdouezfq7xi4qu3i52jfm62ja/AF-Q73KZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1CeB6b8388b4565A8DB0dDBE05adED08230cDd89
First NFT owner address (bech32): 
genesis1rn4khqugk3t94rdsmklqtt0dpq3sehvfreae9s
Current NFT ID #378641 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378641
Accession (UniProt):
Q73KZ3
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Treponema denticola (strain ATCC 35405 / DSM 14222 / CIP 103919 / JCM 8153 / KCTC 15104)

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 Q73KZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q73KZ3|RLMN_TREDE Probable dual-specificity RNA methyltransferase RlmN OS=Treponema denticola (strain ATCC 35405 / DSM 14222 / CIP 103919 / JCM 8153 / KCTC 15104) OX=243275 GN=rlmN PE=3 SV=1 MTIKKYKTALSGMFPEEIQSFCGLKEKFRAQQIFHWIASGVNSFDEMTNLSFDMRSKLKNDFSLFSTKIKEALKDKDGTIKLAVELYDGSVIETVLLTDKAKRKTACVSCQAGCPMKCAFCKTGQIGFLRNLSASEIVEQFLHLEREAGSLDNIVFMGMGEPMLNLPEIDKAINILAHPKGRNLSKRRITISTSGLCKGIYEMADKGPEVRLAVSLTTADETLRSELMPITKTNSLDELKQAIKYFNSKSNKRVTLELALMKGLNTDKKAAQEVIEFAKGLECFINLIPWNPVEGLNFKTPSETEVRTFETYLKKAGLNISTRQKRGQSIGGACGQLGSTAARSNRF