P9WFI0 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MT0917

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifsuurjch436fr7plroalujr73ukapv55gmxyheeql4s76blzlu54/metadata.json
IPFS of structure file: 
bafybeib6on6d2r577dzmatzcjuorbjotrizzjvvjogprsqogwmd7bilfhq/AF-P9WFI0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2aE8C900f2F869C24641aE78A9bb70D728467913
First NFT owner address (bech32): 
genesis19t5vjq8jlp5uy3jp4eu2nwms6u5yv7gngat6r3
Current NFT ID #522602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
522602
Accession (UniProt):
P9WFI0
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MT0917
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 P9WFI0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFI0|Y893_MYCTO Putative S-adenosyl-L-methionine-dependent methyltransferase MT0917 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0917 PE=3 SV=1 MRTEDDSWDVTTSVGSTGLLVAAARALETQKADPLAIDPYAEVFCRAAGGEWADVLDGKLPDHYLTTGDFGEHFVNFQGARTRYFDEYFSRATAAGMKQVVILAAGLDSRAFRLQWPIGTTIFELDRPQVLDFKNAVLADYHIRPRAQRRSVAVDLRDEWQIALCNNGFDANRPSAWIAEGLLVYLSAEAQQRLFIGIDTLASPGSHVAVEEATPLDPCEFAAKLERERAANAQGDPRRFFQMVYNERWARATEWFDERGWRATATPLAEYLRRVGRAVPEADTEAAPMVTAITFVSAVRTGLVADPARTSPSSTSIGFKRFEAD