P9WFI8 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MT0293

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiee7ja2sgmprqdle7uffs426l4kh3uqdm77ftzomtmtlly7e2t22y/metadata.json
IPFS of structure file: 
bafybeihztliefptqyolcmge2fnlu3dcuumzvzif7tbz4m37cbiik7rpvdy/AF-P9WFI8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa6DB575920E1a34edA83BaAAF292D1418fFa9290
First NFT owner address (bech32): 
genesis15md4wkfqux35ak5rh2409yk3gx8l4y5sj57ma4
Current NFT ID #514106 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514106
Accession (UniProt):
P9WFI8
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MT0293
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 P9WFI8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFI8|Y293_MYCTO Putative S-adenosyl-L-methionine-dependent methyltransferase MT0293 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0293 PE=3 SV=1 MRTEGDSWDITTSVGSTALFVATARALEAQKSDPLVVDPYAEAFCRAVGGSWADVLDGKLPDHKLKSTDFGEHFVNFQGARTKYFDEYFRRAAAAGARQVVILAAGLDSRAYRLPWPDGTTVFELDRPQVLDFKREVLASHGAQPRALRREIAVDLRDDWPQALRDSGFDAAAPSAWIAEGLLIYLPATAQERLFTGIDALAGRRSHVAVEDGAPMGPDEYAAKVEEERAAIAEGAEEHPFFQLVYNERCAPAAEWFGERGWTAVATLLNDYLEAVGRPVPGPESEAGPMFARNTLVSAARV