Data analysis
Support in organising, processing, analysing and interpreting data.
Support for organisations, researchers and professionals in designing studies, collecting, cleaning and analysing data.
Support in organising, processing, analysing and interpreting data.
Identification and correction of inconsistencies, duplicates, missing values or errors in databases.
Design of questionnaires adapted to the objectives of a study or survey.
Development of structured guides for qualitative interviews and field studies.
Design of tools facilitating structured data collection and entry.
Assistance in study design, data collection and preparation of datasets for analysis.
You don't have the computing power, the installed software or the time? We take charge of your simulations and deliver the analysed results.
You provide a target and a list of molecules: we prepare the files, run the docking and deliver the scores, poses and analysed interactions.
Virtual screening of compound collections (ZINC, PubChem, in-house libraries), with ADMET filtering and prioritisation of hits.
Simulations from 100 ns to several microseconds, stability analysis, interactions over time and binding free energy calculation.
Structure prediction with AlphaFold or homology modelling, model validation and preparation for your docking studies.
Assessment of absorption, distribution, metabolism, excretion and toxicity properties. Lipinski's rules, bioavailability prediction and elimination of problematic compounds before laboratory testing.
Formatting of your articles, theses and reports with LaTeX: IMRaD structuring, booktabs tables, multi-panel figures, BibTeX bibliography and compliance with journal requirements.
You describe the biological question, the target and the molecules of interest. We assess feasibility and required computation time.
We send you a quotation specifying the scope, the deadline and the expected deliverable.
File preparation, running the simulations, quality control and regular progress updates.
Analysed results, figures, tables and a reproducible methodological report. Raw files are provided.
Beyond training, we support research teams in their computer-aided drug discovery projects: from target preparation to results analysis.
Receptor and ligand preparation, grid definition, AutoDock Vina docking, validation by redocking and RMSD calculation.
Building and preparing compound libraries, automated screening, ADMET filtering and prioritisation of hits.
Simulating complex stability, RMSD and RMSF analysis, interactions over time, binding free energy.
PLIP analysis, interaction fingerprints, pose clustering, consensus scoring and publication-quality figures.
Obtaining and validating 3D structures with AlphaFold, ESMFold or homology modelling, preparation for docking.
Developing Python scripts to automate preparation, batch execution, analysis and report generation.
Clarifying objectives, research questions and expected deliverables.
Building collection tools: questionnaires, interview guides, data entry forms.
Gathering data and correcting inconsistencies, duplicates and missing values.
Statistical analysis, interpretation and presentation of results.
Describe your needs and we will get back to you with a proposal adapted to your context.