P9WFJ2 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MT0154

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsthpk4o7mspd2474fs26r55klboy4vt2xlr5z7cpih4hqu3p53q/metadata.json
IPFS of structure file: 
bafybeifdjwyem7axmsnga4g422sewvfya6qxyw2bri5weu4m4d6vu2zifq/AF-P9WFJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x468E5fb8a8B823d983F185C2ef419605Bd979fcb
First NFT owner address (bech32): 
genesis1g689lw9ghq3anql3shpw7svkqk7e087thjdr5e
Current NFT ID #507143 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
507143
Accession (UniProt):
P9WFJ2
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MT0154
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 P9WFJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFJ2|Y146_MYCTO Putative S-adenosyl-L-methionine-dependent methyltransferase MT0154 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0154 PE=3 SV=1 MRTHDDTWDIKTSVGATAVMVAAARAVETDRPDPLIRDPYARLLVTNAGAGAIWEAMLDPTLVAKAAAIDAETAAIVAYLRSYQAVRTNFFDTYFASAVAAGIRQVVILASGLDSRAYRLDWPAGTIVYEIDQPKVLSYKSTTLAENGVTPSAGRREVPADLRQDWPAALRDAGFDPTARTAWLAEGLLMYLPAEAQDRLFTQVGAVSVAGSRIAAETAPVHGEERRAEMRARFKKVADVLGIEQTIDVQELVYHDQDRASVADWLTDHGWRARSQRAPDEMRRVGRWVEGVPMADDPTAFAEFVTAERL