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

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    Adaptive Workflows

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    Leverage AI and ML to accurately predict scientific outcomes

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    Classify materials and manage entities with full traceability

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

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    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.

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Dotmatics
Request Demo
  • 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.

    FCS Express Luma

    Streamlined flow cytometry data capture and traceability—connecting FCS Express outputs to the centralized Luma platform.

    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.

  • Solutions

    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

    Industry

    Biology Discovery

    Chemistry R&D

    Chemicals and Materials

  • Products

    R&D Software for Scientists

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

    Explore All

    BIOINFORMATICS

    SnapGene

    Geneious Prime

    Geneious Biologics

    CHEMINFORMATICS

    Vortex

    DATA ANALYSIS & VISUALIZATION

    Prism

    ELN

    ELN & Data Discovery Platform

    FLOW CYTOMETRY

    OMIQ

    FCS Express

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    Scientific Intelligence Platform

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    Protein Metrics

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Biologics Offer New Hope for Complex Diseases

Christian Olsen, Vice President, Industry Principal, Biologics at Dotmatics Jun 1, 2023
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Complex chronic diseases like diabetes, sickle cell anemia, and Alzheimer’s disease are multifactorial conditions, meaning they’re influenced by many factors, such as infectious causes, genetic predispositions, and environmental conditions. This makes them uniquely difficult to treat. Take, for example, Alzheimer’s disease. The neurodegeneration in Alzheimer's disease is thought to be influenced by four intertwined factors, including A-beta plaques, tau tangles, small vessel leaks, and TDP-43 hardening. Developing therapeutics to treat conditions like Alzehimer’s, which have complex causative factors, is incredibly challenging. 

Biologics for Complex Disease

Complex diseases have been challenging to address with chemically synthesized small molecule drugs. Biologics offer new hope. Biologics are large, complex treatment entities that are derived from living organisms, such as bacteria, yeast, or mammalian cells. They target specific cells in the body to stimulate or suppress the immune system. They are typically given through injection or infusion. While biologics can be more expensive than traditional drugs due to the complexity of their production processes, they can also offer significant benefits to patients with complex medical conditions. Examples of biologics include cytokines, growth factors, certain vaccines, cell therapies, gene therapies, RNAi, and monoclonal antibodies, which we will focus on here. 

Example: IgG Antibodies

While there are five main classes of antibodies (or immunoglobulins, Ig), the most prevalent is IgG. Although the smallest in size, IgG antibodies are the highest in prevalence, accounting for 80% of total antibodies in serum. They are the main antibody associated with secondary responses that neutralize toxins. As shown in Figure 1, IgG antibodies are made of symmetrical heavy and light protein chains that are shaped like the letter Y, where the base (or constant Fc region) interacts with immune-system components and the two arms (or variable Fab region) recognize and interact with an antigen. 


antibody complex diseases
Figure 1: IgG antibodies are made of symmetrical heavy and light protein chains that are shaped like the letter Y, where the base (or constant Fc region) interacts with immune-system components and the two arms (or variable Fab region) recognize and interact with an antigen (Source: https://kkna.kyowakirin.com/what-we-do/research/)

Distinct regions of specific chromosomes control the creation of proteins that comprise an antibody. In humans, chromosomes 2, 22, and 14 all contribute to the creation of IgG antibodies. The antibody assembly process is incredibly complex, with different building blocks, originating from different gene fragments, coming together in a combinatorial fashion. These different assembly combinations may also have junctional and somatic differences, which all results in a tremendous amount of antibody diversity. 

Antibody Analysis

Analyzing the impact of therapeutic antibody candidates’ diversity is an essential part of antibody discovery efforts and, for many teams, a key challenge as well. 

Take for example, B-cell antibody repertoire analysis. B-cells are white blood cells produced in the bone marrow that play a key role in the body’s immune response to infection. They produce antibodies to help attack foreign invaders, such as by binding to and neutralizing harmful protein (otherwise known as antigens), preventing antigens from entering cells, or marking antigens for destruction by other immune cells. To study B-cell antibodies, researchers must unite, analyze, and re-analyze data data coming from both mass-spectrometry protein analysis (Ig-Seq) and sequence analysis (BCR-Seq) so that they can attain a more complete picture, make the best possible research decisions, and uncover new insights. 

While combining and recombining different types of research data and analyses is imperative, it’s also incredibly challenging without a flexible end-to-end R&D platform like Dotmatics Platform that helps discovery teams optimize both dataflows and workflows.

Next Steps

Read more about the ways Dotmatics is supporting research composability and multi-dimensional discovery with a comprehensive and advanced biologics R&D solution.

Additional resources

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optimizing biologics discovery ebook thumbnailEbook

Optimizing Biologics Discovery

ai drug discoveryBlog

The Dawn of AI in Drug Discovery

biologics data silosBlog

Next-Gen Biologics R&D

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