Q89ZK5 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighby5hgngjlgfpeszaq6nxzpruek2xry22pcnqrkfnqd5rznncgm/metadata.json
IPFS of structure file: 
bafybeig353kkcm6rdcwopqpq2bsvctm2hna4iuhmbfacf7j2kbnssvtmam/AF-Q89ZK5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #378111 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378111
Accession (UniProt):
Q89ZK5
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50)

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 Q89ZK5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89ZK5|RLMN_BACTN Probable dual-specificity RNA methyltransferase RlmN OS=Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50) OX=226186 GN=rlmN PE=3 SV=1 MMSKYPLLGMTLIELQSLVKRLGMPGFAAKQIASWLYDKKVTSIDEMTNLSLKYRELLKQNYEVGAEAPVEEMRSVDGTVKYLYPVGENHFVESVYIPDDERATLCISSQVGCKMNCKFCMTGKQGYSANLTAHQIINQIHSLPERDKLTNVVMMGMGEPLDNLEEVLKALDILTGSYGYAWSPKRITVSTVGLRKGLRRFIEESDCHLAISLHSPVTAQRAELMPAEKAFSITEMVELLKNYDFSKQRRLSFEYIVFKGLNDSQVYAKELLKLLRGLDCRMNLIRFHSIPGVALEGADMDTMTRFRDYLTTHGLFTTIRASRGEDIFAACGMLSTAKQEENNKS