P9WJZ3 AF NFT

Uncharacterized S-adenosylmethionine-dependent methyltransferase Rv3037c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdgtk44a5ea2aoiox23vw3c2tfqpitke2uhwlygb3x6y7jnwlyqa/metadata.json
IPFS of structure file: 
bafybeicsw2tc7wgfxrh5lb7m4buvmocimnhggbnl5bsshdipipg2mzgyq4/AF-P9WJZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #514347 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514347
Accession (UniProt):
P9WJZ3
Name::
Uncharacterized S-adenosylmethionine-dependent methyltransferase Rv3037c
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WJZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJZ3|Y3037_MYCTU Uncharacterized S-adenosylmethionine-dependent methyltransferase Rv3037c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv3037c PE=3 SV=1 MRARFGDRAPWLVETTLLRRRAAGKLGELCPNVGVSQWLFTDEALQQATAAPVARHRARRLAGRVVHDATCSIGTELAALRELAVRAVGSDIDPVRLAMARHNLAALGMEADLCRADVLHPVTRDAVVVIDPARRSNGRRRFHLADYQPGLGPLLDRYRGRDVVVKCAPGIDFEEVGRLGFEGEIEVISYRGGVREACLWSAGLAGSGIRRRASILDSGEQIGDDEPDDCGVRPAGKWIVDPDGAVVRAGLVRNYGARHGLWQLDPQIAYLSGDRLPPALRGFEVLEQLAFDERRLRQVLSALDCGAAEILVRGVAIDPDALRRRLRLRGSRPLAVVITRIGAGSLSHVTAYVCRPSR