P9WMG3 AF NFT

Uncharacterized HTH-type transcriptional regulator Rv3095

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihn4b2kf67q5xc5k6dxumf3q5k4askuv4fep6twgwvl26s66lt3fa/metadata.json
IPFS of structure file: 
bafybeihkkgvffmcp6ahrfou62bznmxuflhctctquyv3l4y7mln6shjmp3y/AF-P9WMG3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x091554B316044d26D7307E7F5d45AEFbD0138EB3
First NFT owner address (bech32): 
genesis1py24fvckq3xjd4es0el463dwl0gp8r4nu6tt2g
Current NFT ID #514500 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
514500
Accession (UniProt):
P9WMG3
Name::
Uncharacterized HTH-type transcriptional regulator Rv3095
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 P9WMG3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMG3|Y3095_MYCTU Uncharacterized HTH-type transcriptional regulator Rv3095 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv3095 PE=1 SV=1 MAVSDLSHRFEGESVGRALELVGERWTLLILREAFFGVRRFGQLARNLGIPRPTLSSRLRMLVEVGLFDRVPYSSDPERHEYRLTEAGRDLFAAIVVLMQWGDEYLPRPEGPPIKLRHHTCGEHADPRLICTHCGEEITARNVTPEPGPGFKAKLASS