Q73SK9 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_4064c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsgnxks535jwd6pnpruwwvucrisbfbmdjw7n7md6da74dvypdkq4/metadata.json
IPFS of structure file: 
bafybeidybdd6xg2frr5zl6pgcs4sxgmvlh6zto454blamceyd7zt3kqvwe/AF-Q73SK9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #516908 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516908
Accession (UniProt):
Q73SK9
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_4064c
Experimental Method:
Predicted structure
Sequence source:
MYCOLICIBACTERIUM PARATUBERCULOSIS (STRAIN ATCC BAA-968 / K-10)

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 Q73SK9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q73SK9|Y4064_MYCPA Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_4064c OS=Mycolicibacterium paratuberculosis (strain ATCC BAA-968 / K-10) OX=262316 GN=MAP_4064c PE=3 SV=1 MTVPNDDTWGPATSVGTTATMAAAARAIATRDGVINDPFAEPLVRAVGVNFLTRWAIGELVASDVDVEGSPWGLAQMPASIAARTRYFDEFYADAAAAGIRQAVILASGLDTRAYRLDWPAGMTVFEIDQPAVIEFKTTALARLGAEPKADLRTVAVDLRDDWSTALATAGLDSSKPTAWIAEGLFGYLAPEAQDGLLDAVTALSTPGSRLGSEAVPNTADMDPHAARERMRAATAKWRDHGFELDVDVISFAGERHDVGAYLQAHGWTTVATPMAELLADHGLPAIARADDDRQTMNGVTYYTSTLGTGRQR