Pharmaceuticals

Pharmaceuticals

 

Because we use MVA, the observations and analysis we carry out with your data allow us to take into account multiple statistical outcome. In short, this allows us to test multiple dimensions to one problem or question you have while taking into account the effects of all variables included in your dataset. Click here to learn more about how bioptimize uses MVA to help you get the most of your data. This is specifically pertinent to our clients working the fields of Pharma, R&D where complexity and security are mandatory prerequisites. We collaborate to tru Drug discovery on daily basis, using Drug Discovery Multi-objectives data analysis (e.g. biological activity + ADMET parameters) QSAR (Quantitative Structure Activity Relationship and testing ADMET (Absorption Distribution Metabolism Excretion Toxicity) predictions. Thanks to this wide array of expertise we enjoy the returning clientele from leaders of the pharmaceutical industry.

Clinical

  • Groups identification
  • Protocol optimization
  • Propositions of scores
  • Biomarkers identifications

ADMET

  • Linear Predictive models
  • Most pertinent descriptors identification
  • Predictive non linear models
  • Substrates/Inhibitors CYPs P450 database
  • ALL pertinent descriptors identification

QSAR

  • Linear models
  • Combinations of models
  • Most pertinent descriptors identification
  • Molecular Fragments database
  • 3D matrices used for linear models
  • All pertinent descriptors identification

MultiObjective

  • Pertinent compromises listing
  • Predictive linear models
  • Keypoint combinations of descriptors
  • Non linear models
  • ALL combinations of descriptors linked to ALL combination of objectives

Process

  • Overview of all the variable s interactions
  • Optimization models
  • Identification of keypoint variables

Assays

  • Combinations of Assays to use
  • Most pertinent descriptors identification
  • Assays vs chemical series
  • Biomarkers identification

MicroArray

  • Genes selection and validation
  • Weak signal detection

 

bioptiLab is an interactive, pluridisciplinary and intuitive cutting-edge cloud application designed for pharmaceutical data analysis to guid scientists to their own conclusions. No hardware, no software, no headake! No even need for experts to understand your data you have in your hands! If you have complex data, then bioptiLab is designed for you!

bioptiLab : the fastest route to get to knowledge!

For clinic testing we have developed a range of dedicated expertise that allow for the discovery of new therapeutic area. When working on clinical data we focus our datamining on efficacy results. This allows for the setup of scoring propositions, the identification of individual characteristics linked to high responders and the issue of a proof of efficiency (notably for drugs vs. Placebo testing). Another benefit is to use bioptimize’s tools to focus on biological responses. This is particularly pertinent for biomarkers investigations and the identification of groups of individual characteristics… No science is left behind! Our technology and expertise is easily accessible anywhere, anytime on any internet connected devices through our bioptiLab service. That’s how we make sure we deliver the best way to find YOUR answers about your data.

Clinical

  • Groups identification
  • Protocol optimization

ADMET

  • Linear Predictive models
  • Most pertinent descriptors identification

QSAR

  • Linear models
  • Combinations of models
  • Most pertinent descriptors identification
  • 3D matrices used for linear models

MultiObjectives

  • Pertinent compromises listing
  • Predictive linear models
  • Keypoint combinations of descriptors

Process

  • Overview of all the variable s interactions
  • Optimization models
  • Identification of keypoint variables

Assays

  • Combinations of Assays to use
  • Most pertinent descriptors identification

MicroArray

  • Genes propositions
  • Weak signal detection