MolDrug AI Systems works in the field of computational chemistry, molecular modeling, and in general in technologies for computational optimization of chemical compound properties
Services
Structure-Based Drug Design
Structure-Based Drug Design
Molecular docking to predict the interaction between ligands and target proteins, aiding in the identification of promising drug candidates by simulating their binding affinity and orientation within the target's binding site.
Metabolomics analysis of cell, tissue and biofluid samples: Study design, analysis of samples by NMR spectroscopy, identification of key metabolites and performance of prediction models.
Differential expression analysis of normalized read count data from RNA-Seq, microArrays or TempO-seq analysis to discover quantitative changes in expression levels between experimental groups.
Identification of altered signaling pathways with the help of high throughput biological information of different phenotypes, including genomics, transcriptomics, proteomics and metabolomics data.
