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Signals Research Suite™

Science is getting more complex. Simplify it with Signals Research Suite.

Make your innovations a reality with the first unified, cloud-native SaaS R&D platform that streamlines scientific complexity and promotes collaboration

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Introduction to Signals Research Suite

The Signal Research Suite is an end-to-end R&D workflow solution providing data capture & collaboration, data processing, and data-driven analytics.

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Accelerate Drug Discovery with Signals Research Suite

Experience the power of fast, flexible Drug Discovery software with Signals Research Suite to accelerate the development of new therapeutic modalities.

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AI success relies on effective data management

AI success relies on effective data management

Signals Research Suite sets the stage for AI success by putting your data in context with AI-ready data management.

 

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Signals Connect

Join us for this ongoing Signals C community series and learn how you can go beyond and get more out of your data using Revvity Signals Research Suite. Gain critical insights to accelerate your R&D discoveries.

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  • Make-Test-Decide workflows integrated across biology, chemistry, formulation, and more

    Powered by industry-leading ChemDraw® and Spotfire™, the Signals Research Suite delivers best-in-class analysis and data visualization for the Make-Test-Decide R&D life cycle, fostering rapid innovation in the development and optimization of candidate therapeutics to expedite their journey to market.

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  • Unlock innovation with Signals Research Suite

    Signals Research Suite empowers researchers by providing a cloud-native, unified software platform that spans the entire Make-Test-Decide R&D lifecycle. Collaborate seamlessly across R&D disciplines, adapt to real-time experimental planning and laboratory bench work, and make informed decisions based on comprehensive data analysis to accelerate innovation in bringing products to market.

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  • An intelligent R&D and formulation data management solution for Specialty Chemicals

    The Revvity Signals Research Suite is an intelligent R&D and formulation data management solution that serves to streamline workflows and increase an organization’s chances of success when developing new chemical products.

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Signals Research Suite

Discover how our platform acts as the catalyst for unprecedented discoveries, bringing researchers together on a global scale.  Plus, optimize your synthesis or formulation process to meet your customers’ unmet needs and decrease cost and time to market.

Signals Research Suite

Industry Use Cases

Make, test, decide: How to save precious time in drug discovery

Make, test, decide: How to save precious time in drug discovery

New ways for researchers to get back ‘scientific quality time’, to be creative, and avoid repetitive administrative tasks.

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MIT Technology Insight Report Article

MIT Technology Insight Report Article

The chemicals industry increasingly sees digital transformation as a means to improve safety, optimize production, and spark breakthroughs in R&D.

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Drug discovery labs look to the digital future

Drug discovery labs look to the digital future

Q&A with David Gosalvez, Director of Product Strategy at Revvity Signals, regarding the strategic direction of the Signals Research Suite.

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Signals Research Suite has given Cogent Biosciences the kind of data analytics capabilities that were once the sole domain of big pharma companies with deep pockets and extensive IT departments.

 

Jennifer Fulton | Cogent Biosciences, Medicinal Chemist (Quote from Make, Test, Decide Nature article)
    Small Molecule Solutions

    Small Molecule Drug Discovery

    Capabilities

    Description

    Benefits

    Compound Synthesis

    Streamlines the process of designing, planning and documenting chemical reactions.

    • Synthesis Workflows
    • Automated Stoichiometric calculations
    • Search prior knowledge
    • Parallel Experiment Management
    • Support for patent applications
    • Integrated chemical intelligence provided by natively integrated ChemDraw® simplifies the designing and documentation process and enhances the overall quality of data management and collaboration enabling researchers to work more efficiently and effectively in their research.
    • HELM capabilities empower new drug modality research of biopolymeric structures

    Compound Analysis

    Researchers can efficiently make test requests, evaluate and interpret experimental data related to chemical compounds.
    • Make assay and test requests in-platform
    • Visualize data using standardized workflows powered by Spotfire®
    • Facilitate collaboration between departments, e.g., medicinal chemist and assay scientist
    • Standardized Statistical Analysis providing cluster analysis and unsupervised machine learning

    Compound Registration

    Enables researchers to efficiently input, manage, and analyze chemical compound data through.

    • Structured Data Entry
    • Centralized management
    • Rapid search and retrieval
    • Materials Management & Registration - Keep track of compounds with continuous barcode inventory and registration support
    • Material Request - Create sharable material libraries to support your workflows
    • Search Inventory for Materials - Search for similar, exact, substructures; know when to order/reorder
    • Access Material Safety Data Sheets - Incorporate and access safety info into your protocols

    Hit Identification

    Empowers researchers to efficiently discover and evaluate potential drug candidates through:

    • High-throughput Screening (HTS) and Virtual Screening
    • Assay development
    • Automated analyses
    • Reduces the time and effort needed to find the one drug candidate within many.
    • Automatic round trip of experimental results from Data Processing capability into Signals® Notebook
    • Graphics driven by Spotfire® enable meaningful visualization of data
    • Workflow templates are set up once, used multiple times

    in vitro analysis

    Developing assays to measure cell activity, processing assay data, visualizing assay results, and analyzing assays using High Content Screening (HCS) and Surface Plasmon Resonance (SPR)
    • In-platform integration throughout the workflow
    • Flexibility to adapt to new assays, instruments, and technology without custom-coding
    • Ability to create workflows that process data quickly, facilitating faster decision-making
    • Native integration with Spotfire® for advanced analytics and visualization

    Lead Optimization

    Self-service analytics and visualization tools to refine promising drug candidates to enhance drug efficacy, safety, and pharmacokinetics properties.

    • Data-drive analysis
    • Standardized workflows
    • In-platform collaboration
    • Facilitates the selection of the most promising compounds for further refinement and development.
    • The only Structure Activity Relationship (SAR) software application with native ChemDraw® integration
    • Dedicated, specialized visualizations for advanced structure-activity relationships, e.g., R-group decomposition, matched-pair analysis, activity cliff, etc.

    Efficacy and Toxicology Studies

    Evaluate biological effects and potential toxicities in animal models through comprehensive data analysis and streamlined reporting workflows

    Predict treatment outcomes and identify potential adverse events at the preclinical stage, thereby reducing risks and enabling the optimization of the drug candidate’s therapeutic profile before clinical trials

    Pharmacokinetics and Pharmacodynamics

    Analyze and model PK/PD profiles to assess how a drug behaves in biological systems

    Gain critical insights empowered by Spotfire® into drug safety, ADME and optimal dosing, helping to optimize clinical trial designs and maximize the likelihood of success in late-stage development.

    Biomarker Discovery

    Identification and validation of biomarkers to measure effects of drug candidates
    • Advanced analytics and visualization empowered by Spotfire® helps reduce the number of variables in complex datasets making data easier to interpret
    • Helps users quickly identify patterns and relationships among variables.
    Large Molecule Solutions

    Biologics Discovery

    Capabilities

    Description

    Benefits

    Biologics Registration

    Create biological modality libraries easily to track and connect relevant datasets

    • Integration with Signals® Notebook to search and synchronize experimental records and materials
    • Linking biologic registration data (e.g., antibody sequences, cell lines) with assay results for better traceability

    Centralizes all drug modality material assets, improving data accessibility and reducing duplication, thereby enhancing efficiency in research workflows

    Assays

    Build, define and manage biological assay workflows

    • Creating and standardizing protocols for cell-based or biochemical assays
    • Automating data entry and reporting for high-throughput screening (HTS) workflows

    Streamlines assay processes, enhances reproducibility, and reduces time-to-data for decision-making, leading to more efficient experimental outcomes

    Results Analysis

    Access to key datasets quickly within experimental, project, and program contexts

    • Automated aggregation of sequence intelligent datasets to identify targets of interest
    • Visualization tools like heatmaps and clustering for trend identification in screening campaigns
    • Machine learning models to predict assay outcomes and flag anomalous data points

    Accelerates identification of key patterns and trends, enabling faster hypothesis validation and data-driven decisions, ultimately advancing research objectives

    Hit Identification

    Empowers researchers to efficiently discover and evaluate potential drug candidates through:

    • High-throughput Screening (HTS) and Virtual Screening
    • Assay development
    • Automated analyses
    • Reduces the time and resources needed for early-stage drug discovery while improving the quality of lead candidates, thereby increasing the likelihood of successful outcomes
    • Integrating drug screening data from various sources for centralized evaluation
    • Interactive dashboards to compare hits across multiple assay conditions

    in vitro analysis

    Developing assays to measure cell activity, processing assay data, visualizing assay results, and analyzing assays using High Content Screening (HCS) and Surface Plasmon Resonance (SPR)
    • In-platform integration throughout the workflow
    • Flexibility to adapt to new assays, instruments, and technology without custom-coding
    • Ability to create workflows that process data quickly, facilitating faster decision-making
    • Native integration with Spotfire® for advanced analytics and visualization

    Lead Optimization

    Optimize lead compounds by integrating multi-parameter datasets, predictive modeling, and workflow automation to refine drug candidates

    • Enabling BioSAR (Sequence-Activity Relationship) analysis to prioritize hit candidates
    • Facilitates the selection of the most promising biologics for further development.

    Pharmacokinetics and Pharmacodynamics

    Analyze and model PK/PD profiles to assess how a drug behaves in biological systems, enabling dosing strategies

    Mitigate late-stage failures by predicting human responses early in the development pipeline, saving time and resources

    Efficacy and Toxicology Studies

    Evaluate biological effects and potential toxicities in animal models through comprehensive data analysis and streamlined reporting workflows

    Predict treatment outcomes and identify potential adverse events at the preclinical stage, thereby reducing risks and enabling the optimization of the drug candidate’s therapeutic profile before clinical trials

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    Related Events & Webinars

    Resources

    Signals Research Suite is ideally suited to handle research use cases involving earlier stage in-vitro assays, later stage in-vitro assays, cell line optimization, biologics process optimization, in vitro DMPK assays, animal pharmacokinetic studies, stage animal efficacy and safety studies.

    More Resources

    Frequently Asked Questions (FAQs)

    In what ways does the Signals Research Suite support the development of new drug modalities?

    Signals Research suite is designed to handle the complexities associated with developing new drug modalities, such as protein degraders, RNA therapeutics, antibody-drug conjugates (ADCs), next-generation peptides, and gene therapies. It facilitates laboratory workflows, allowing the capture and analysis of diverse data types required for these advanced therapeutics. By providing tools for assay development, hit identification, and lead optimization, the suite accelerates the drug discovery process for these novel therapeutics.

    How does the suite ensure data security and regulatory compliance?

    The Signals Research Suite implements 24/7 global security monitoring, alerting, and escalation by the Revvity Signals Software Security Operations Center. It supports both multi-tenant and private-cloud deployments and meets standard IT requirements for automatic updates and cloud security controls. The platform also ensures data is findable, accessible, interoperable, and reproducible (FAIR), aiding in data integrity and regulatory compliance.

    What benefits does the Signals Research Suite offer to scientists?

    Benefits include:

    • Streamlined collaboration and data sharing across R&D disciplines.
    • Accelerates innovation.
    • Simplified screening and optimization processes.
    • Reduced new product development timelines.
    • Better decision-making with easier data sharing.

    What makes the Signals Research Suite unique compared to other solutions?

    Unlike siloed point solutions, the Signals Research Suite offers a fully integrated platform that encapsulates trusted products, avoiding the complexities and inefficiencies of a piecemeal, application-centric ecosystem. It is the first solution released under the new Revvity Signals Software brand, emphasizing seamless scientific collaboration and data sharing.

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