Q2JRQ8 AF NFT

Probable dual-specificity RNA methyltransferase RlmN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvnzkz2zey2qcwnfwovdyxcqzfq7stp4zmoyquh75lfatkqppm2m/metadata.json
IPFS of structure file: 
bafybeibgjaorawy35qsbpxfqiyggdr3f6sddhfghsj256cj2tm2xvvaq6a/AF-Q2JRQ8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x83F786ce01f5479fe16b8Cc8921aa2b71C99D1C9
First NFT owner address (bech32): 
genesis1s0mcdnsp74relctt3nyfyx4zkuwfn5wfl45cr6
Current NFT ID #378617 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
378617
Accession (UniProt):
Q2JRQ8
Name::
Probable dual-specificity RNA methyltransferase RlmN
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain JA-3-3Ab)

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 Q2JRQ8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2JRQ8|RLMN_SYNJA Probable dual-specificity RNA methyltransferase RlmN OS=Synechococcus sp. (strain JA-3-3Ab) OX=321327 GN=rlmN PE=3 SV=1 MSAPPLPLLGQSLAALKDWAVEQGQPAYRGQQLHTWLYHKGIRSLQEVTVFPKAWREALQEYPVGRSQVVQRIESRDGTVKFLLQLADGELIETVGIPTARRLTVCVSSQVGCPMACNFCATGKMGYRRNLKLHEILDQVLTVQEDFGRRVSHVVFMGMGEPLLNRDTVVQAIRSLNQDIGIGQRHITLSTVGVPRQIPWLAQQDLQITLAVSLHAPNQELRQQLIPSAAHYPLDALIQDCRDYMLCSGRRISFEYTLLAGVNDLPIHARQLAHLLRQASQAGARLHVNLIPYNPIAEADYQRPHPTRVAEFVRLLEEHHVQVSVRQTRGLDSNAACGQLRGSFLRASPEPAPGRS