Q73UI3 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_3385

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtssteu5hzrbvmxw72h6hofvwxqqsdou3ugtbyznvtvfixax2nme/metadata.json
IPFS of structure file: 
bafybeic5uj7365l4bb3u2r33xjy6opbqcczqlhcblipoqu6rfrxvzb6ozm/AF-Q73UI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #515221 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
515221
Accession (UniProt):
Q73UI3
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_3385
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 Q73UI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q73UI3|Y3385_MYCPA Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_3385 OS=Mycolicibacterium paratuberculosis (strain ATCC BAA-968 / K-10) OX=262316 GN=MAP_3385 PE=3 SV=1 MARTDDDTWDLATSVGATATMVAAGRARATRDGLIDDPFAEPLVRAVGVDFFTRWAAGELDAADVDVPGAAWGMQRMTDMLTARTRYIDAFFAEAGAAGIRQVVILASGLDARAYRLPWPAGTTVFEIDQPRVLEFKAATIAQLGAEPTAPVRAVAVDLRHDWPSALRQAGFDVGRPAAWAAEGLLGFLPPQAQDRLLDNVTALSADGSQLVAEVFANTGASGDALNAAGEKWRRHGLDVALDDLGFPGERNDPASYLQQLGWQPVRTPLNQMLANNGLPLQSTEPGAPFAQNYYCTAVLNKAG