Target engagement data from ChEMBL.
Localized R&D briefings for every global research site.
Target profile briefings written in English create information asymmetry at research sites where English is not the primary language. Claude retrieves target engagement and selectivity data from ChEMBL via MCP, and Lara Translate localizes the briefing for each site — with your compound nomenclature enforced.
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From ChEMBL target data to localized R&D briefings for every research site.
Claude queries ChEMBL via MCP and retrieves published in vitro target engagement and selectivity data for the compound series. The target profile is structured with binding affinity data, selectivity panel results, and compound prioritization rationale. Lara Translate localizes using Faithful style, preserving compound names, target nomenclature, and quantitative data exactly.
Ask Claude to retrieve target engagement data from ChEMBL
Claude connects to ChEMBL via MCP and retrieves published in vitro target engagement and selectivity data for the specified target panel, returning potency values, selectivity ratios, and assay format details for all compounds with published data across the target set.
ChEMBL returns 89 assay results across 34 compounds and 6 targets
ChEMBL returns all 89 published in vitro assay results organized by compound and target, potency values with assay format details, selectivity ratios calculated where data is available for the same compound across multiple targets. Claude structures the target profile briefing with selectivity index analysis and compound series identification.
Lara Translate localizes the target briefing for the Tokyo R&D team
Lara Translate localizes the target profile briefing into Japanese using Faithful style. IC50 values, selectivity ratios, and potency distributions treated as non-translatable units throughout. The pharmaceutical R&D glossary enforces approved Japanese equivalents for kinase biology terminology and compound series descriptors consistent with Japanese pharmaceutical research publications.
The Tokyo R&D team receives a complete Japanese target profile briefing
The Tokyo pharmaceutical R&D team receives a structured Japanese document: primary target potency distribution across 34 compounds, cross-target selectivity ratios from 89 in vitro assay results, and compound series with the most favourable selectivity profiles. The briefing is ready for the site's compound prioritisation discussion, no translation step required from the research team.
Why English-only target briefings create information asymmetry across global R&D sites
When target profile briefings circulate only in English, research sites where English is not the primary working language receive the same data with a higher cognitive burden, scientists reading and interpreting analytical documents in a second language process information differently from those reading in their primary language. Compound prioritization discussions at the Tokyo site run at a disadvantage compared to Cambridge. Lara Translate applied via Claude MCP produces the same target profile briefing in Japanese, same data, same analytical structure, same selectivity indices, so the Tokyo team participates in compound prioritization from an identical information position.
What makes a localized target profile usable for a global R&D team.
A target profile with paraphrased selectivity data or inconsistent compound names creates programme misalignment. These four properties prevent that.
Target and compound terminology consistent across every site
Target names, compound identifiers, and R&D terminology stay consistent across every localized briefing. Translation memory reuses your approved compound nomenclature.
Faithful style for all target engagement data
Faithful translation preserves binding affinity values, selectivity panel results, and compound naming exactly. No paraphrase — every data point means what it said in the source.
Selectivity data and compound priorities preserved exactly
A specific selectivity ratio or binding affinity result carries precise scientific meaning. You pass the domain and programme context, and Lara Translate localizes accordingly.
Localized target profiles for every research site in one session
In any of 203 languages. No information asymmetry across the global programme.
Claude + ChEMBL vs.
Claude + ChEMBL + Lara Translate
| What you need | Claude + ChEMBL | Claude + ChEMBL + Lara Translate |
|---|---|---|
| Kinase terms matching Japanese R&D publications | No controlled vocabulary. Compound names and assay terms may vary across language outputs. | R&D glossary aligns terms with Japanese pharmaceutical research |
| Selectivity ratios and potency data preserved exactly | No style mode. Clinical summaries and technical assay descriptions get the same generic tone. | Faithful style, selectivity and potency data preserved exactly |
| Cross-target analysis structured before localization | IUPAC names, numeric values, and units may be paraphrased rather than preserved exactly. | Claude structures cross-target selectivity analysis before translation |
| Data retrieved and briefing produced in one session | Each ChEMBL record requires manual field-by-field processing per language. | Claude retrieves, structures, and localizes in one conversation |
| All global R&D sites from the same compound evidence base | No translation memory. Repeated compound names are not aligned across records or studies. | 200 languages, same session, same R&D glossary applied |
Ready to brief every global R&D site from the same target engagement data?
One ChEMBL query. A structured, localized target profile for every research site in under 5 minutes.
No credit card required
No credit card required
Build your multilingual AI workflow with us
Tell us your stack and what you want to ship. We'll help you wire your AI assistant to the right tools and Lara Translate so the output lands in every language your team works in — terminology enforced, tone matched.