B7LRQ5 AF NFT

Ribosomal RNA small subunit methyltransferase B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiarjh6mpjjxuc5imd5zlao724w3wuizpdoek6guif4llre7tapbdm/metadata.json
IPFS of structure file: 
bafybeiekf6vrnu5nhtv74vnve7dpc54mou3dmytiez7smh73ca3q3txaqq/AF-B7LRQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x765870ac5257bbcCF1F57218cfD50ce0Fa6D0e54
First NFT owner address (bech32): 
genesis1wev8ptzj27aueu04wgvvl4gvurax6rj5hxcg8m
Current NFT ID #412031 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
412031
Accession (UniProt):
B7LRQ5
Name::
Ribosomal RNA small subunit methyltransferase B
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LRQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LRQ5|RSMB_ESCF3 Ribosomal RNA small subunit methyltransferase B OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=rsmB PE=3 SV=1 MKKQRNLRSMAAQAVEQVVEQGQSLSNILPPLQQKVSDKDKALLQELCFGVLRTLSQLDWLINKLMARPMTGKQRTVHYLIMVGLYQLLYTRIPPHAALAETVEGAVAIKRPQLKGLINGVLRQFQRQQEELLAEFNASDARYLHPSWLLKRLQKAYPEQWQSIIEANNQRPPMWLRVNRTHHSRDSWLALLDEAGMKGFPHADYPDAVRLETPAPVHVLPGFEEGWVTVQDASAQGCMAWLAPQNGEHILDLCAAPGGKTTHILEVAPEAQVVAVDIDEQRLSRVYDNLKRLGMKATVKQGDGRYPSQWCGEQQFDRILLDAPCSATGVIRRHPDIKWLRRDRDIPELAQLQSEILDAIWPHLKSGGILIYATCSVLPEENSLQIKAFLQRTADAELCETGTPEQPGKQNLPGAEEGDGFFYAKLIKK