What does D360 do?

Discovery scientists who need to understand their compounds’ structure-activity relationships and prioritize their compounds for development have to spend too much time manually querying data or relying on IT to build their data views. D360 provides self service access and visuals that allow them to make the decisions they need to make more quickly and easily.

D360™ is the industry leading scientific informatics system for small molecule and biologics discovery research. D360 is used by over 6,000 research scientists worldwide from the top 10 pharmaceutical companies to startup biopharmaceutical companies to improve data utilization and optimize design-make-test-analyze cycles.

D360 provides self-service data access, integrated data visualization and analysis and collaboration tools that allow compound prioritization, development of SAR and many other scientific data workflows in chemistry and biology domains to improve the effectiveness of data-driven research.

One Click Data Access

  • D360 data queries can be created by any scientist and shared as one-click dashboard widgets
  • Data queries can contain formatting and analysis macros to get your data exactly right for making decisions
  • Users can customize their dashboard to show only those widgets relevant to their work
One Click Data Access
Self-Service Data Search

Self-Service Data Search

  • D360 can connect to multiple sources of data (databases, web services)
  • Data fields are presented in an easy to use data catalog
  • Simple drag and drop interfaces to build spreadsheet or form data views
  • Data formatting, visualization and analyses can be automated
  • Queries can be saved, reused and shared as one-click dashboard widgets

General Data Analytics

  • Sorting and filtering including mult-value per cell data
  • Data formatting: Precision, units, color by value
  • データの視覚化:Data correlations, scatter plots, histograms, bar and line and box and whiskers charts
  • All analysis steps can be captured and automated in the query so that you and your team can quickly get back to your preferred data analysis environment
General Data Analytics
Small Molecule Analysis

Small Molecule Analysis

  • Consistent display and handling of chemical structures
  • Consistent aggregation of assay results
  • Structure-based and activity based clustering
  • R-Group analysis and R-Group contribution analysis
  • Transformation analysis for Cores and substituents
  • Matched molecular pair analysis
  • Integration with your existing molecular property calculations
  • Automated Activity Cliff notifications in the dataset

Biologics & Other Modality Analysis

  • Handling of antibodies, ADCs, peptides, oligos and other modalities
  • Consistent aggregation of assay results
  • Sequence alignment for SAR
  • Sequence-based clustering
  • All analysis steps can be captured and automated in the query
Biologics & Other Modality Analysis
Extends to Cover Research Partners

Extends to Cover Research Partners

  • Data-secure D360 for external research partners
  • Allows full team to view the same datasets
  • Information shared through D360 annotations
  • Takes minutes to set up and onboard collaborators
David Lowis
David Lowis (DPhil) Executive Director, Science Informatics

15 年以上にわたって D360 の設計と開発の陣頭指揮を執り、初期の低分子化合物向けの創薬研究から生物学的製剤、さらに前臨床研究データと適用範囲の拡大に成功しています。D360 のお客様環境への導入を支援するエキスパートでもあり、創薬、前臨床、臨床、トランスレーショナルサイエンスにおける科学研究データのワークフローに精通しています。

Fabian Rauscher
Dr. Fabian Rauscher Scientific Informatics Manager, Europe

D360 を含む計算科学ソフトウェアや科学データインフォマティクスシステムのエキスパートとして、10 年以上にわたって、ライフサイエンス業界のお客様に対してコンサルティングサービスやトレーニング、専門のサービス提供に携わっています。


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