P9WFH5 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase Rv3767c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiag7fxhoq7mucoqs3vwtxhobkyrhjmwouexq6augm7p52xq4r5waq/metadata.json
IPFS of structure file: 
bafybeih6yg4psye4xfik4jxmt2643qypxcmpdsuo6us2iauan6hbholtfy/AF-P9WFH5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x28e51F615E58598362D09182b4f56f5cAD52f49a
First NFT owner address (bech32): 
genesis19rj37c27tpvcxcksjxptfat0tjk49ay6xansak
Current NFT ID #516464 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
516464
Accession (UniProt):
P9WFH5
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase Rv3767c
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 P9WFH5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFH5|Y3874_MYCTU Putative S-adenosyl-L-methionine-dependent methyltransferase Rv3767c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv3767c PE=1 SV=1 MPRTDNDSWAITESVGATALGVAAARAAETESDNPLINDPFARIFVDAAGDGIWSMYTNRTLLAGATDLDPDLRAPIQQMIDFMAARTAFFDEYFLATADAGVRQVVILASGLDSRAWRLPWPDGTVVYELDQPKVLEFKSATLRQHGAQPASQLVNVPIDLRQDWPKALQKAGFDPSKPCAWLAEGLVRYLPARAQDLLFERIDALSRPGSWLASNVPGAGFLDPERMRRQRADMRRMRAAAAKLVETEISDVDDLWYAEQRTAVAEWLRERGWDVSTATLPELLARYGRSIPHSGEDSIPPNLFVSAQRATS