Q66CN7 AF NFT

23S rRNA (uracil(747)-C(5))-methyltransferase RlmC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiayerbfbfxnirdwjzzxtzuxcbiceaq2mec7dd73oxzzn5ub426ol4/metadata.json
IPFS of structure file: 
bafybeig4kiazasou4cxywpjpjkmhrolowqg3yrzds7tvn6wzqo4yi2v26q/AF-Q66CN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE978529ba527BfA750887e738022a7611e695635
First NFT owner address (bech32): 
genesis1a9u99xa9y7l6w5yg0eecqg48vy0xj4349kwzs3
Current NFT ID #376205 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
376205
Accession (UniProt):
Q66CN7
Name::
23S rRNA (uracil(747)-C(5))-methyltransferase RlmC
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66CN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66CN7|RLMC_YERPS 23S rRNA (uracil(747)-C(5))-methyltransferase RlmC OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=rlmC PE=3 SV=1 MHCAQYTAGRCRSCQWLDKPYPQQLADKQHHLESLLAGHAVTQWLAPVFGRESTFRNKAKMVVSGSVERPLLGMLHRDGTPVDLCACPLYPPSFEPVFTVLKTFIARAGLTPYNVARKRGELKFLLLTESTYNGELMLRFVLRSETKLAQLIAALPWLQQQLPQLAVISANIQPVHMAILEGEREIPLTEQQALPERFNQVPLYIRPQSFFQTNPPVAASLYATARQWVQEHEVHSMWDLFCGVGGFGLHCAGPETQLTGIEISAEAIACARQSAEQLGLKNVSFAALDSTRFATAEAQIPELVLVNPPRRGIGRELCDYLSQMAPKFILYSSCNAETMAKDISLLAGYHIERVQLFDMFPHTSHYEVLTLLALRR