P9WJ62 AF NFT

16S/23S rRNA (cytidine-2'-O)-methyltransferase TlyA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieya2ku7wuhq5zkmlqjrl5hvfc5kvq4iryx2vldq7dai2n77lbyzy/metadata.json
IPFS of structure file: 
bafybeiebk3s4wlqfxr323cauiunvb4trharc5k7leyzu7naeyzdnqqusey/AF-P9WJ62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc59A47c8d9b1543054659D2a0C21B0fdf18F05A4
First NFT owner address (bech32): 
genesis1ckdy0jxek92rq4r9n54qcgdslhcc7pdyjadl25
Current NFT ID #467605 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
467605
Accession (UniProt):
P9WJ62
Name::
16S/23S rRNA (cytidine-2'-O)-methyltransferase TlyA
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WJ62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ62|TLYA_MYCTO 16S/23S rRNA (cytidine-2'-O)-methyltransferase TlyA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=tlyA PE=1 SV=1 MARRARVDAELVRRGLARSRQQAAELIGAGKVRIDGLPAVKPATAVSDTTALTVVTDSERAWVSRGAHKLVGALEAFAIAVAGRRCLDAGASTGGFTEVLLDRGAAHVVAADVGYGQLAWSLRNDPRVVVLERTNARGLTPEAIGGRVDLVVADLSFISLATVLPALVGCASRDADIVPLVKPQFEVGKGQVGPGGVVHDPQLRARSVLAVARRAQELGWHSVGVKASPLPGPSGNVEYFLWLRTQTDRALSAKGLEDAVHRAISEGP