Solutions overview
Transforming Drug Discovery Through Precision Target and Disease Biomarker Analysis
Target analysis is the foundation of effective drug discovery. In an era of complex, multifactorial diseases, finding truly impactful targets is a high-stakes task. Though the idea seems simple—find a disease-linked target, then design a therapeutic around it—the reality is far more complex.
A major challenge in drug discovery is validating targets early, as many drugs fail in clinical trials due to misaligned hypotheses about how a target influences disease progression in specific patient populations. Multi-omics technologies are transforming this process by decoding complex biological interactions to identify disease-relevant targets. These technologies reveal genetic mutations and biomarkers driving disease, decode protein structures and interactions for better drug design, map gene expression changes across disease stages, and uncover shifts in cellular metabolism linked to disease. Together, they provide a multi-dimensional view of disease, offering critical insights for precision drug discovery.
Insufficient analysis often leads to costly trial failures and lower drug approval rates. Together, these omics layers empower researchers to pinpoint high-confidence targets with unprecedented accuracy. By investing in robust target analysis and validation studies upfront, we can reduce development costs and increase the success rate of new therapies.
Target Identification
An in-depth understanding of the underlying disease mechanisms, as well as the application of advanced technologies and analytical methods to discover therapeutic targets.
Understanding the problem
A fundamental step in drug discovery, guiding the design of new treatments.
Existing Challenges
Identifying disease-relevant targets for effective therapies is critical but highly challenging.
Omics in Action
Genomics, proteomics, and transcriptomics reveal genetic interactions, protein dynamics, and expression patterns tied to disease.
AI-Driven Discovery
AI accelerates data analysis, enabling rapid, confident hypothesis generation and target selection.
Enhanced Drug Discovery
Omics and AI integration drives precision, efficiency, and success in drug discovery, minimizing risks of ineffective targets.
Significance
Precise target assessment is crucial for developing effective therapies, as it directly influences drug efficacy and safety.
Resource-Intensive Process
Demands significant time and resources, often hindered by limited machine learning interpretability.
Complex Target Types
Detecting low-abundance, weak-binding, or membrane proteins increases the complexity of target assessment.
Hit Validation Challenges
Validating hits and understanding their biological impact are key hurdles in phenotypic drug discovery.
Target Deconvolution Issues
Identifying precise targets in complex biological systems remains a major bottleneck.
Target Assessment
Our comprehensive Target dossiers integrate structural, functional, and safety data with advanced information retrieval technologies and scientific expertise, creating a powerful toolbox for target assessment and optimization. Leveraging statistics and bioinformatics, these dossiers illuminate disease mechanisms and phenotypes, guiding informed, data-driven decisions on target selection and validation for therapeutic development.
Target Validation
Experimental validation is key, often using gene knockout or overexpression models to demonstrate the target’s role in disease pathways. Functional assays, such as RNA interference or CRISPR-Cas9, help confirm the target’s biological relevance.
Purpose of Target Validation
Confirms a target’s role in the disease process and evaluates the potential benefits of modulating it.
Initial Screening
Computer modeling is used to screen targets for possible drug interactions early in the validation process.
Experimental Validation
Techniques like gene knockouts, RNA interference, and antisense technology are applied in vivo or in vitro to validate targets experimentally.
Phenotypic Analysis
Resulting phenotypes, such as changes in cellular fitness and proliferation, are analyzed to assess target impact.
Mechanistic Insight
Reveals how a target drives disease, detailing molecular interactions and pathways.
Pathway Mapping
Identifies the target’s network, examining potential off-target effects and broader impact on cellular pathways.
Structural Analysis
Characterizes the target’s structure to pinpoint binding sites, guiding drug design with precision.
Biomarker Discovery
Identifies biomarkers linked to target activity, supporting treatment monitoring and efficacy assessment.
Disease Model Testing
Evaluates target impact on disease progression through in vitro and in vivo models.
Target Elucidation
Understanding the target’s role in disease guides the design of effective therapeutic strategies. In silico methods predict both covalent and non-covalent binding interactions with small molecules. Epitope mapping is used to identify regions that are important for immune modulation or antibody development.
Aganitha's Solutions
We have built strong core capabilities and platforms to help biopharma companies by delivering tailor-made target assessment dossiers.
Curated in-depth data tailored to target and indication with the most relevant and actionable insights
Customized data curation, clinical analytics, bioinformatics solutions, and market intelligence.
Large language models integration.
Evidence-Driven Target Validation.
Customized Target Dossiers from target identification till validation.
Guided workflows with proof of concept for a target along with critical experiments to perform.
Discover our offerings across the biopharma value chain
Our Solutions
Our Services
Offering services in computational sciences and technology to complement biopharma R&D