Q87D65 AF NFT

23S rRNA (guanosine-2'-O-)-methyltransferase RlmB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzyuph2uvovhggojv4wc6mnakzxmtaqsicel3nbwle7q4z3u4syy/metadata.json
IPFS of structure file: 
bafybeia36mgozupk7grk67crxg77yjhqkzgiw6nbc6bwucdhzdb7mu57ai/AF-Q87D65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2Fc9Fe89158bF2facca1427c2b13b0cEc88Aaa5a
First NFT owner address (bech32): 
genesis19lylazg430e04n9pgf7zkyasemyg42j6mdjzzh
Current NFT ID #376108 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
376108
Accession (UniProt):
Q87D65
Name::
23S rRNA (guanosine-2'-O-)-methyltransferase RlmB
Experimental Method:
Predicted structure
Sequence source:
Xylella fastidiosa (strain Temecula1 / ATCC 700964)

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 Q87D65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87D65|RLMB_XYLFT 23S rRNA (guanosine-2'-O-)-methyltransferase RlmB OS=Xylella fastidiosa (strain Temecula1 / ATCC 700964) OX=183190 GN=rlmB PE=3 SV=1 MNKKNQWIVGINAVVSSIENDAEHVREVLVEAASKNSRLLDIEENARRKGIEVRRVTTQALDGVGGGVRHQGVAARYAAVRLWEEHDLKDLVDAAGGQALLLVLDGVQDPHNLGACLRSAAAAGVTAVIIPKDKSVGINATVRKTSSGAADRLPVIAVVNLARSLRELQKQDVWIYGLAGEVETSLYALDLRGNVALVLGGEADGLRRLTREHCDVLARIPMPGEVESLNVSVAAGVTLFEAVRQRTLV