P9WMD0 AF NFT

Uncharacterized HTH-type transcriptional regulator MT1607

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibos66ziqwks7a2vs7vlv2j6d52tinqcvusuqrotnfqcxwprw6zdu/metadata.json
IPFS of structure file: 
bafybeigrh5top2hmqd27kgr7cgb2uf3v6727d5aaae4xo4ccihikxjzisi/AF-P9WMD0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x793417a5f01Ae083038547F9A7B86A2e9529e931
First NFT owner address (bech32): 
genesis10y6p0f0srtsgxqu9glu60wr2962jn6f37h7jt5
Current NFT ID #507817 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
507817
Accession (UniProt):
P9WMD0
Name::
Uncharacterized HTH-type transcriptional regulator MT1607
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 P9WMD0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMD0|Y1556_MYCTO Uncharacterized HTH-type transcriptional regulator MT1607 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT1607 PE=4 SV=1 MVGAVTQIADRPTDPSPWSPRETELLAVTLRLLQEHGYDRLTVDAVAASARASKATVYRRWPSKAELVLAAFIEGIRQVAVPPNTGNLRDDLLRLGELICREVGQHASTIRAVLVEVSRNPALNDVLQHQFVDHRKALIQYILQQAVDRGEISSAAISDELWDLLPGYLIFRSIIPNRPPTQDTVQALVDDVILPSLTRSTG