P9WFH8 AF NFT | MOLNFT bioinformatics, blockchain

Putative S-adenosyl-L-methionine-dependent methyltransferase MT1770

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiea75yfnnhw5xhpqeenvn5tftjnzkpmyj6icmv5gfsik3remxuxde/metadata.json

IPFS of structure file:

bafybeiekwnet3c5sim26dxio7lag3jtc3tqqhuh7nn75hywwt2jihv5pu4/AF-P9WFH8-F1-model_v2.pdb

First NFT owner address (eip-55):

0xb87B1c18Cd8460968d29Db6614aA1B581FaDe5F6

First NFT owner address (bech32):

genesis1hpa3cxxds3sfdrffmdnpf2smtq06me0k2vx3gy

Current NFT ID #509188 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509188
Accession (UniProt):
P9WFH8
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MT1770
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 P9WFH8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFH8|Y1770_MYCTO Putative S-adenosyl-L-methionine-dependent methyltransferase MT1770 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT1770 PE=3 SV=1 MARTDDDNWDLTSSVGVTATIVAVGRALATKDPRGLINDPFAEPLVRAVGLDLFTKMMDGELDMSTIADVSPAVAQAMVYGNAVRTKYFDDYLLNATAGGIRQVAILASGLDSRAYRLPWPTRTVVYEIDQPKVMEFKTTTLADLGAEPSAIRRAVPIDLRADWPTALQAAGFDSAAPTAWLAEGLLIYLKPQTQDRLFDNITALSAPGSMVATEFVTGIADFSAERARTISNPFRCHGVDVDLASLVYTGPRNHVLDYLAAKGWQPEGVSLAELFRRSGLDVRAADDDTIFISGCLTDHSSISPPTAAGWR