P9WFJ1 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase Rv0145

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiak7scfn2r6uoilvihenznodnn4xzlj4cgy4ckyec66zeibspntyu/metadata.json
IPFS of structure file: 
bafybeid4adzip7vvgvo757u5gcqsd6fif6fm7nd34g4ej72si7v6q5bqrq/AF-P9WFJ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #507685 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
507685
Accession (UniProt):
P9WFJ1
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase Rv0145
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 P9WFJ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFJ1|Y153_MYCTU Putative S-adenosyl-L-methionine-dependent methyltransferase Rv0145 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0145 PE=1 SV=1 MSSLPSSRRTAGDTWAITESVGATALGVAAARAVETAATNPLIRDEFAKVLVSSAGTAWARLADADLAWLDGDQLGRRVHRVACDYQAVRTHFFDEYFGAAVDAGVRQVVILAAGLDARAYRLNWPAGTVVYEIDQPSVLEYKAGILQSHGAVPTARRHAVAVDLRDDWPAALIAAGFDGTQPTAWLAEGLLPYLPGDAADRLFDMVTALSAPGSQVAVEAFTMNTKGNTQRWNRMRERLGLDIDVQALTYHEPDRSDAAQWLATHGWQVHSVSNREEMARLGRAIPQDLVDETVRTTLLRGRLVTPAQPA