Q97IC4 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqhdahh4j4roqo25uf7keo6vdcucorumkf6rgwuimccih4opi3ma/metadata.json
IPFS of structure file: 
bafybeia4u6exdkb2fpssom6di7prhirrj4zr3dtjebplrbiq4gpqypzju4/AF-Q97IC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #378194 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378194
Accession (UniProt):
Q97IC4
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM ACETOBUTYLICUM (STRAIN ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787)

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 Q97IC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97IC4|RLMN_CLOAB Probable dual-specificity RNA methyltransferase RlmN OS=Clostridium acetobutylicum (strain ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787) OX=272562 GN=rlmN PE=3 SV=1 MENILDYNEAELKQWMDKNGEKTFRAKQFFDWIYNGTFDFKDMKNLPQSTRERLEKNFYIGMPSVVKRLNSKKGDTVKFLFRYNDGNIIECVVMKYDYGNSICISTQVGCRMGCSFCASTIGGRVRDLTSGEILAQILKAQKEIGERISNIVLMGSGEPLDNYDNVIKFIRIVNSEKGLNIGQRHITLSTCGIVPRIYDLMKENLQITLAISLHASDDETRKKIMPIANRYSISEIIDCCKKYSDFTGRRITFEYSLVKDVNDDKESAKKLGELLSGMLCHVNLIPVNTVNETSYEKPESSKIKKFCDTLLKYKIESTIRKEMGADINAACGQLRRNYIEESEGK