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. 

Comprehensive profiling of a target analysis workflow

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

Learn more about our Disease Biomarker & Target Insights Platform and Services

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