P9WFH9 AF NFT | MOLNFT bioinformatics, blockchain

Putative S-adenosyl-L-methionine-dependent methyltransferase Rv1729c

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicos5jc4ujzuyvuc2fyk7cza5rjoaieclcll5tnzawb5kjuceysxu/metadata.json

IPFS of structure file:

bafybeig62itmmcxxi3pxv65t2ocv3n5ja5powjp66mvbpzvbnrblnhe2ba/AF-P9WFH9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First NFT owner address (bech32):

genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92

Current NFT ID #509189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509189
Accession (UniProt):
P9WFH9
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase Rv1729c
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 P9WFH9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFH9|Y1770_MYCTU Putative S-adenosyl-L-methionine-dependent methyltransferase Rv1729c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv1729c PE=1 SV=1 MARTDDDNWDLTSSVGVTATIVAVGRALATKDPRGLINDPFAEPLVRAVGLDLFTKMMDGELDMSTIADVSPAVAQAMVYGNAVRTKYFDDYLLNATAGGIRQVAILASGLDSRAYRLPWPTRTVVYEIDQPKVMEFKTTTLADLGAEPSAIRRAVPIDLRADWPTALQAAGFDSAAPTAWLAEGLLIYLKPQTQDRLFDNITALSAPGSMVATEFVTGIADFSAERARTISNPFRCHGVDVDLASLVYTGPRNHVLDYLAAKGWQPEGVSLAELFRRSGLDVRAADDDTIFISGCLTDHSSISPPTAAGWR