Reaction Biology’s ProLiFiler service provides in-depth bioinformatics analysis for researchers studying the therapeutic efficacy of their drug candidates. Our MoAfinder provides sophisticated data, enabling the identification of the MoA (mode of action) by comparing screening profiles of over 900 drugs with a known MoA. The Biomarker Analysis helps in identifying the signature of responders to the test compound, helping researchers to focus on that specific cohort of patients who are to ultimately receive the treatment.
Figure 1: Graphical presentation of the correlation of the drug sensitivity profile of doxorubicin to 732 reference compound‘s drug sensitivity profiles. Blue dots represent positive correlation and negative correlation represents red. X-axis: Spearman Rho correlation coefficient, Y axis: Spearman p-value
Biomarker Analysis: Nutlin-3
Figure 2: The graphical representation of nutlin-3 gene expression analysis using Limma test results shows highly expressed genes in drug-sensitive/resistant cell lines. MDM2 and other p53 pathway-related genes were highly expressed in tumor cell lines, which were sensitive to nutlin-3 treatment. Blue dots are genes with high expression associated with sensitivity, yellow dots are genes with high expression associated with resistance. X-Axis: Difference in gene expression between responding and non-responding tumor cell lines (log2); Y-Axis: Limma p-value.