P9WJ63 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpv6f3kay22hlvti7iurhr2g5lx66vaph2qf4usfatotdd36pxke/metadata.json
IPFS of structure file: 
bafybeihtucoszroamb52rqtfrkewazr6mvy2kvl23olnl24qxaqj6lzwwu/AF-P9WJ63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x032de8ecd31921A4EaFf7f09A852178F9c639617
First NFT owner address (bech32): 
genesis1qvk73mxnrys6f6hl0uy6s5sh37wx89sh2sgv8l
Current NFT ID #467606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
467606
Accession (UniProt):
P9WJ63
Name::
16S/23S rRNA (cytidine-2'-O)-methyltransferase TlyA
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WJ63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ63|TLYA_MYCTU 16S/23S rRNA (cytidine-2'-O)-methyltransferase TlyA OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=tlyA PE=1 SV=1 MARRARVDAELVRRGLARSRQQAAELIGAGKVRIDGLPAVKPATAVSDTTALTVVTDSERAWVSRGAHKLVGALEAFAIAVAGRRCLDAGASTGGFTEVLLDRGAAHVVAADVGYGQLAWSLRNDPRVVVLERTNARGLTPEAIGGRVDLVVADLSFISLATVLPALVGCASRDADIVPLVKPQFEVGKGQVGPGGVVHDPQLRARSVLAVARRAQELGWHSVGVKASPLPGPSGNVEYFLWLRTQTDRALSAKGLEDAVHRAISEGP