P9WFH3 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase Rv3787c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievio65hvfe7wsivomfetqj7chvwlaqycnt22arj273vfsfuosake/metadata.json
IPFS of structure file: 
bafybeidckt355ar3jcz4dowo4pri7ht3lirjtc3e4srtgoer7b6rubd74q/AF-P9WFH3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x756bFDb0226Aa720bF009aFD5c0C76F6dFE0Cc9D
First NFT owner address (bech32): 
genesis1w44lmvpzd2njp0cqnt74crrk7m07pnyalxjrqd
Current NFT ID #516512 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
516512
Accession (UniProt):
P9WFH3
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase Rv3787c
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 P9WFH3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFH3|Y3895_MYCTU Putative S-adenosyl-L-methionine-dependent methyltransferase Rv3787c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv3787c PE=1 SV=1 MARTDDDSWDLATGVGATATLVAAGRARAARAAQPLIDDPFAEPLVRAVGVEFLTRWATGELDAADVDDPDAAWGLQRMTTELVVRTRYFDQFFLDAAAAGVRQAVILASGLDARGYRLPWPADTTVFEVDQPRVLEFKAQTLAGLGAQPTADLRMVPADLRHDWPDALRRGGFDAAEPAAWIAEGLFGYLPPDAQNRLLDHVTDLSAPGSRLALEAFLGSADRDSARVEEMIRTATRGWREHGFHLDIWALNYAGPRHEVSGYLDNHGWRSVGTTTAQLLAAHDLPAAPALPAGLADRPNYWTCVLG