Network pharmacology analysis allows comparison of two or more drugs in terms of symptoms, side effects, and gene expression to determine similarities and differences between drugs and provide new ideas for drug repositioning. In summary, we can use AI methods and technologies to test the similarity of drugs for the same disease in various ways. Our in silico drug repositioning platform represents an alternative and complementary approach for drug discovery. https://ai.computabio.com/...

Numerous data exist online that can assist in in silico chemical or drug safety assessment. Capturing a chemical's safety profiles or toxicity within databases has become a necessary part of research across many industrial sectors, especially pharmaceuticals. CD ComputaBio is dedicating to integrating in silico data resources relevant to toxicology suitability for modelling, read-across, or similarity searching. https://ai.computabio.com/...

Kinases are crucial enzymes that regulate many bodily functions. Kinase assays are essential for drug discovery, used to identify new targets and test potential inhibitors. Various techniques exist, including radioactive, binding, functional, and kit-based assays. These assays enable screening for inhibitors, determining activity, profiling potency, and studying mechanisms of action. Given the therapeutic importance of kinase inhibitors, kinase assays are a major focus of current drug development efforts. CD ComputaBio offers kinase assay services to support high-throughput screening for new drug candidates. https://ai.computabio.com/...

CD ComputaBio offers a range of services for antibody reformatting and engineering. They can reengineer antibodies and antibody fragments into various formats, including Fab, F(ab)'2, scFv, VHH, and bispecific antibodies. https://www.computabio.com...

CD ComputaBio offers a LEfSe (Linear discriminant analysis Effect Size) analysis service to meet the specific needs of different customers. LEfSe is a method that determines the features (e.g. organisms, genes, functions) most likely to explain differences between classes by combining statistical significance tests with tests for biological consistency and effect relevance. https://www.computabio.com...

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher. ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether two or more population means are equal, and therefore generalizes the t-test beyond two means. CD ComputaBio' ANOVA analysis can significantly reduce the cost and labor of the subsequent experiments. https://www.computabio.com...