Dotmatics
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Dotmatics
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  • Platform

    Scientific Intelligence Platform

    AI-powered data management and workflow automation for multimodal scientific discovery

    Learn More

    Capabilities

    Adaptive Workflows

    Customize, automate, and scale your lab workflows

    Artificial Intelligence

    Leverage AI and ML to accurately predict scientific outcomes

    Material & Ontology Management

    Classify materials and manage entities with full traceability

    Luma Products

    BioGlyph Luma

    Next-gen protein design for complex biologics – integrating molecular modeling, registration, and production with seamless data traceability and precision.

    Geneious Luma

    Accelerated antibody discovery for sequence analysis, construct design, and lab execution—integrating the power of Geneious Prime and Geneious Biologics with Luma’s adaptive workflows.

    Lab Connect

    Automated lab data ingestion and modeling—connect instruments, structure scientific data, and streamline lab operations with seamless integration.

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    The State of Chemicals & Materials

    Uncover key trends shaping the chemicals and materials industry

    Read More

    Solutions

    Antibody & Protein Engineering

    Integrated registration, lab workflow and data management

    Flow Cytometry

    Automated flow data processing and auto-gating

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    Biology Discovery

    Chemistry R&D

    Chemicals and Materials

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    R&D Software for Scientists

    Review our comprehensive portfolio of products driving scientific breakthroughs for R&D innovation and collaboration.

    Explore All

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Drugging the Undruggable: Unmasking Evasive Targets

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Despite the extensive progress toward finding cells hiding in our bodies known to influence disease, we only have medicines that act on a fraction of these targets. The evasive targets are often referred to as 'undruggable.'

Uncovering Evasive Targets

Still, research efforts to 'drug the undruggable' are wide-ranging and gaining momentum. Work is being done in small molecule drug discovery to:

  • open undruggable tumor targets using targeted protein degradation, such as with proteolysis-targeting chimera (PROTAC) or molecular glues

  • uncover hidden allosteric sites on disease-related proteins using combined computational and experimental approaches

  • expand covalent drug discovery beyond ligand-first approaches into electrophile-first approaches through use of robust chemoproteomic workflows

  • apply advanced NMR techniques to help in the structure-based design of drugs targeting small guanosine triphosphates (GTPases)

  • discover previously undetectable binding hot spots by using fragment-based computational and experimental methodologies

  • explore drug repurposing possibilities, such as the use of statins for inhibition of cancer proliferation

This push to expand the reach of small molecule drugs is fueled by many factors, both scientific and financial.

From a scientific standpoint, improved screening technologies mean new possibilities. Better target-site understanding has led to new disease targets. Improved computational chemistry techniques have opened more chemical space. And, perhaps most importantly, increased collaboration between biology and chemistry groups has helped teams work together to break boundaries.

From a financial standpoint, small molecule drug development remains relatively simple compared to the process of developing large-molecule biologics. With that simplicity comes cost efficiency that trickles down to the market, giving small molecule drugs both lower cost profiles and better patient accessibility.

But the endeavor to drug the undruggable is not without its obstacles. Companies still face a myriad of challenges. For example:

  • Failure rates remain high. Every 10,000 hits synthesized and tested generate only 250 candidates. Of those candidates, around five to ten make it to trials.

  • Process inefficiencies abound. Fragmented workflows and disconnected systems make it difficult to work efficiently and collaborate.

  • Data liquidity remains low. Researchers and executives alike struggle to collect, find, and use their data to drive better decisions. By some estimates, up to 80% of R&D data are stuck in different systems and in different formats. As a result, as much as 60% to 80% of a data scientist’s time is spent cleaning and prepping data for use.

Dotmatics can help companies overcome these challenges by providing an end-to-end scientific R&D platform that connects best-of-breed applications that enable automation, analysis, and cross-discipline collaboration. We have wrapped the tools and solutions most needed for small molecule drug discovery into the Dotmatics Small Molecule Drug Discovery Workflow.

Dotmatics' Small Molecule Drug Discovery Workflow:

  • supports cross-discipline discovery from hit and lead identification, through lead optimization, to candidate selection,

  • provides fully integrated laboratory informatics software to capture experiments, molecules, samples, and assays, and

  • supports better decision making with tools for gathering, analyzing, and visualizing project data.

On-Demand Webinar: Reduce Risk, Cost and Time in the New Era of Small Molecule Drug Discovery

To learn more about the ways Dotmatics can help companies in their endeavor to drug the undruggable, watch the on-demand webinar, Reduce Risk, Cost and Time in the New Era of Small Molecule Drug Discovery.

Additional resources

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Chemical and materials icons for the cardBlog

Optimizing Small Molecule Drug Discovery

renaissance of small molecule drug discoveryBlog

The Renaissance of Small Molecule Drug Discovery

Reduce Risk, Cost and Time in the New Era of Small Molecule Drug Discovery

Reduce Risk, Cost and Time in the New Era of Small Molecule Drug Discovery

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