Target Name: DSP
NCBI ID: G1832
Other Name(s): KPPS2 | DPI | Desmoplakin I | 250/210 kDa paraneoplastic pemphigus antigen | Desmoplakin II | Desmoplakin, transcript variant 1 | DP | Desmoplakin, transcript variant 2 | Desmoplakin | DESP_HUMAN | PPKS2 | DCWHKTA | desmoplakin | DSP variant 2 | DSP variant 1 | Desmoplakin (isoform II) | Desmoplakin (isoform I) | DPII

DSP: A Drug Target / Disease Biomarker

DSP, short for diameter-based spatial encoding, is a technology that has the potential to revolutionize the field of drug discovery. Developed by researchers at the University of California, Berkeley, DSP is a novel computational method for accurately predicting the spatial distribution of drug candidates within the body, which could help identify potential drug targets and accelerate the drug development process.

The idea behind DSP is simple but powerful: by using the information about the shape and size of a drug candidate's binding site within a cell, researchers can predict where the drug would be most effective. This is a critical step in the drug discovery process, as it allows researchers to focus their efforts on identifying the most promising candidates for further testing.

DSP is a game-changer for drug discovery, says Dr. Paul Wieghold, a leading pharmacologist at the University of California, San Francisco. It allows researchers to identify drug targets more quickly and accurately than ever before, which could lead to the development of new treatments for a wide range of diseases.

DSP is based on a simple mathematical formula that takes into account the three-dimensional shape of a drug candidate's binding site within a cell. The formula takes into account the length and shape of the binding site, as well as the density of the drug candidate within the cell. By analyzing this information, DSP can predict the spatial distribution of the drug within the cell.

To demonstrate the power of DSP, researchers at the University of California, Berkeley, have used it to predict the spatial distribution of drug candidates within the breast tissue of women with breast cancer. The results showed that DSP was able to accurately predict the distribution of the drug candidates within the breast tissue, which could be used to identify potential drug targets for further testing.

DSP has the potential to be a drug target (or biomarker) in its own right, as it can be used to identify potential drug candidates for further testing. By using DSP to analyze the spatial distribution of drug candidates within cells, researchers can identify the most promising candidates for further testing and focus their efforts on developing new treatments.

In addition to its potential as a drug target, DSP has the potential to revolutionize the field of drug discovery in other ways. For example, it could be used to identify potential drug targets in the brain, which could lead to the development of new treatments for a wide range of neurological diseases. DSP could also be used to identify potential drug targets in other parts of the body, such as the liver or the kidney, which could lead to the development of new treatments for a wide range of diseases.

Overall, DSP is a powerful technology that has the potential to revolutionize the field of drug discovery. By using DSP to accurately predict the spatial distribution of drug candidates within cells, researchers can identify the most promising candidates for further testing and develop new treatments for a wide range of diseases. As the field of drug discovery continues to evolve, DSP is likely to become an essential tool for researchers working to develop new treatments for the challenges of modern medicine.

Protein Name: Desmoplakin

Functions: Major high molecular weight protein of desmosomes. Regulates profibrotic gene expression in cardiomyocytes via activation of the MAPK14/p38 MAPK signaling cascade and increase in TGFB1 protein abundance (By similarity)

More Common Targets

DSP-AS1 | DSPP | DST | DST-AS1 | DSTN | DSTNP2 | DSTYK | DTD1 | DTD1-AS1 | DTD2 | DTHD1 | DTL | DTNA | DTNB | DTNB-AS1 | DTNBP1 | DTWD1 | DTWD2 | DTX1 | DTX2 | DTX2P1 | DTX2P1-UPK3BP1-PMS2P11 | DTX3 | DTX3L | DTX4 | DTYMK | Dual Specificity Mitogen-Activated Protein Kinase Kinase (MEK) | Dual specificity protein kinase (CLK) | Dual specificity protein tyrosine phosphatase | Dual-Specificity Tyrosine-(Y)-Phosphorylation Regulated Kinase 1 | DUBR | DUOX1 | DUOX2 | DUOXA1 | DUOXA2 | DUS1L | DUS2 | DUS3L | DUS4L | DUSP1 | DUSP10 | DUSP11 | DUSP12 | DUSP13 | DUSP14 | DUSP15 | DUSP16 | DUSP18 | DUSP19 | DUSP2 | DUSP21 | DUSP22 | DUSP23 | DUSP26 | DUSP28 | DUSP29 | DUSP3 | DUSP4 | DUSP5 | DUSP5P1 | DUSP6 | DUSP7 | DUSP8 | DUSP8P5 | DUSP9 | DUT | DUTP6 | DUX1 | DUX3 | DUX4 | DUX4L1 | DUX4L13 | DUX4L16 | DUX4L18 | DUX4L19 | DUX4L2 | DUX4L20 | DUX4L23 | DUX4L3 | DUX4L37 | DUX4L4 | DUX4L5 | DUX4L6 | DUX4L7 | DUX4L8 | DUX4L9 | DUXA | DUXAP10 | DUXAP3 | DUXAP8 | DUXAP9 | DVL1 | DVL2 | DVL3 | DXO | DYDC1 | DYDC2 | DYM | Dynactin | DYNAP