P9WFH4 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MT3874

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekxuqfo5tmhvpodtedhzy2nz7ppqsozovs5xtgz4e2zom4wzudse/metadata.json
IPFS of structure file: 
bafybeihfgjwnhpbdurtbt3jjtznc2hrjna2b7cfnzieoupmmuqc32si2gq/AF-P9WFH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #516463 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516463
Accession (UniProt):
P9WFH4
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MT3874
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 P9WFH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFH4|Y3874_MYCTO Putative S-adenosyl-L-methionine-dependent methyltransferase MT3874 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT3874 PE=3 SV=1 MPRTDNDSWAITESVGATALGVAAARAAETESDNPLINDPFARIFVDAAGDGIWSMYTNRTLLAGATDLDPDLRAPIQQMIDFMAARTAFFDEYFLATADAGVRQVVILASGLDSRAWRLPWPDGTVVYELDQPKVLEFKSATLRQHGAQPASQLVNVPIDLRQDWPKALQKAGFDPSKPCAWLAEGLVRYLPARAQDLLFERIDALSRPGSWLASNVPGAGFLDPERMRRQRADMRRMRAAAAKLVETEISDVDDLWYAEQRTAVAEWLRERGWDVSTATLPELLARYGRSIPHSGEDSIPPNLFVSAQRATS