Q9ZJI4 AF NFT

Dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibilsv6kbc7o2n2w3hppcmay62fl7sozurg2hoq45lwoatjfa5xre/metadata.json
IPFS of structure file: 
bafybeig5apdkrvdmqstprc53i44ykgwolfjwpwkwh2vuanvvms46j2a364/AF-Q9ZJI4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #378314 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
378314
Accession (UniProt):
Q9ZJI4
Name::
Dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZJI4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZJI4|RLMN_HELPJ Dual-specificity RNA methyltransferase RlmN OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=rlmN PE=3 SV=1 MKASIYDFTLDELSQLLKPSFRAKQLYLWLYAKYKTSFKDMQNNFSKDFIAYLEQEFTLRTIEIAHVRESVDGSKKYLFKSLRDNHTFEAVLLKMKDKKIDEETNAVLEGEKYTVCVSCQIGCQVGCSFCFTQKGGFVRDLKASEIIQQALLIKEANNLPIEKALNIVFMGMGEPLNNLDEVCKAVEIFNTGMQISPKRITISTSGVADKIPILAGKNLGVQLAISLHAVDDKTRSSLMPLNKKYNIECVLNEVRKWPLEQRKRVMFEYLLIKDLNDSLDCAKKLLKLLNGIKSKVNLILFNPHEGSKFERPSLESARMFADFLNAKGLLCTIRESKALDIEAACGQLREKKLQQKI