Q0TPL4 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigu4scb2spwilkthr4dczn4usdzhl34jldmp67cksy7msv73proxe/metadata.json
IPFS of structure file: 
bafybeiad6o2zvkamnynrbbl7e4563jej266bl2h2gqijijv5c6fczgzjty/AF-Q0TPL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1B3A5eB89516aec5394e2B424e966Cd5dBBe2F8d
First NFT owner address (bech32): 
genesis1rva9awy4z6hv2w2w9dpya9nv6hdmutudan2wcm
Current NFT ID #378205 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378205
Accession (UniProt):
Q0TPL4
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM PERFRINGENS (STRAIN ATCC 13124 / DSM 756 / JCM 1290 / NCIMB 6125 / NCTC 8237 / TYPE A)

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 Q0TPL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0TPL4|RLMN_CLOP1 Probable dual-specificity RNA methyltransferase RlmN OS=Clostridium perfringens (strain ATCC 13124 / DSM 756 / JCM 1290 / NCIMB 6125 / NCTC 8237 / Type A) OX=195103 GN=rlmN PE=3 SV=1 MKNILDFTLEELKEWMKENGESAFRAKQIFDWIYKKEVFNFEEMKNISKALIGKLSENFYIGIPEVIDYLSSSEDGTRKILLGLGDGNIIECVIMRYKYGNSICVSTQIGCRMGCKFCASTLEGMVRNLTAGEILSEVLIGQKLLGERISNIVLMGSGEPLDNYDNVMKFLELVNADYGLNIGQRHITLSTCGLVPKIREMADKEMQVTLAISLHAVSDEKRKTIMPIANKYSISEILDACNYYIEKTGRRITFEYSLVSGVNDTKEDAKSLGRLLKGMLCHVNLIPVNEIKENEFKKSTKKDIETFLNTLKTYGVEATVRREMGSDINAACGQLRRSYIKSKGLKL