Find out how we're leveraging AI to empower you to accelerate your science

Signals One^{^™}

Science is getting more complex. Simplify it with Signals One^{^™}.

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

Request a Demo Request a Quote

Coming in Signals One:

Simply handle common visualization and analytics use cases, including in vitro curve fitting, in vivo data visualization, and group-comparison
Enhance user experience and ensure IP protection with integrated Generative AI and LLM
Create and use ontologically aware assay repositories that follow F.A.I.R. data principles

An introduction to Signals One

Signals One is an end-to-end R&D workflow solution providing data capture & collaboration, data processing, and data-driven analytics.

Watch Video

Video Player

AI Success Relies on Effective Data Management

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

Read Whitepaper Read Whitepaper

New Demo!

Accelerate Drug Discovery with Signals One

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

Explore Demo Explore Demo

Join our webinar series

Signals Connect

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

Unlock innovation with Signals One

AI-enhanced Signals One empowers researchers by providing a cloud-native, unified software platform that spans the entire Design-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.

Read the Data Sheet

Signals One 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
Large Molecule Solutions

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

Related Products

SignalsNotebook

The premier cloud-based electronic lab notebook for biologists and chemists to collaborate, capture, organize, share, and explore data.

Learn More

SignalsSynergy

Enhancing collaboration and information exchange between Sponsors and CROs.

Learn More

Scitara DLX

Streamline workflows with Revvity Signals and Scitara DLX. Enable rapid integration, unifying lab ecosystems for improved productivity.

Learn More

Lead Discovery Premium

Analyze and visualize chemical structure & biological sequence SAR data. Compare and score segment leads based on multi-parametric optimization.

Learn More

Related Events & Webinars

Resources

Signals One 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 One support the development of new drug modalities?

Signals One 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, Signals One accelerates the drug discovery process for these novel therapeutics.

Your Notifications (0)

Signals One^{^™}

Science is getting more complex. Simplify it with Signals One^{^™}.

Coming in Signals One:

An introduction to Signals One

AI Success Relies on Effective Data Management