Skip to content
Pharma Observatory a Scientist.com platform
  • Supplier site
  • Group of sites (click to zoom)

Scientist.com supplier network (site locations)

Research supplier

BioSpringbok ApS

BioSpringbok ApS is listed as a new startup research supplier in the Scientist.com network, with 1 site in 1 country.

View BioSpringbok ApS on Scientist.com

Sign in to Scientist.com to open this supplier in your organization's marketplace.

Email me this page as a PDF

Search companies, drugs, suppliers and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Sites 1
Countries 1

Services

What this research supplier says it provides, as listed in the Scientist.com network.

Type of company: New startup

Biomarkers

  • Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.

Clinical Trials

  • Clinical Trial Design Develop study-related protocols, case report forms (CRFs) and database tools for records management.
  • Site Monitoring Maintain oversight over participant's health during a clinical trial.

Data Science/Bioinformatics

  • Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
  • Discovery In Silico Drug Dynamics Develop In Silico model of a drug candidate with a biological system with applications such as Pro-drug Predictions, ADME-PK Due Diligence, Brain-Barrier Permeability Simulation, Drug Absorption Simulation, In Silico...
  • Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
  • In Silico ADME-PK Consultation Consult with experts for ADME-PK data analysis or predictive modelling design in different in vivo or in vitro states.
  • In Silico ADME-PK Predictions Use computer software to simulate in vivo physiological conditions of animals or humans to predict ADME-PK properties.
  • In Silico Cancer Genomics/Cancer Transcriptomics Analysis Interpret DNA sequencing and microarray data for cancer studies.
Show all 13 in Data Science/Bioinformatics 7 more
  • In Silico Drug-Drug Interactions Use computational tools to predict pharmaceutical, pharmacodynamic or pharmacokinetic drug-drug interactions to maximize drug regimen safety.
  • In Silico Epigenetic Compound Library Screening Use computer-aided methods to discover new compounds against key regulators of epigenetic signaling.
  • In Silico Nucleic Acid Microarray Analysis Use software to visualize and evaluate gene activity in response to various stimuli.
  • In Silico Pro-drug Predictions Use computer simulation to assess pro-drug absorption and conversion to predict pharmacokinetic properties.
  • In Silico Protein Microarray Analysis Use software to visualize and evaluate protein function and expression on a large scale.
  • In Silico Protein Modification Analysis Use computational methods to predict the behavior of modified proteins.
  • In Silico Protein Sequence Analysis Use software to predict protein structural and functional features and secondary structure components.

Discovery Chemistry

  • Activity Prediction Identify possible chemical hits based on the known three-dimensional structure of a protein.
  • Compound Docking Identify potential compound hits based on the 3D structure of a target protein.
  • Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
  • In Silico Lead Optimization Use in silico design to enhance the ADME-PK properties of candidate drugs to maximize efficacy and safety.
  • In Silico Metabolite Predictions Conduct in silico assessment of metabolite pharmacokinetic properties and potential exposure effects.
  • Pharmacophore Modeling Use computer models to identify hits based on structural similarity to known active compounds.
Show all 8 in Discovery Chemistry 2 more
  • QSAR Analysis Develop quantitative structure–activity relationship models for drug design.
  • Virtual Screening Use software algorithms to virtually screen millions of potential compounds and peptides for binding.
Show all 83 services 68 more

Disease Models

  • Cognition Models Measure therapeutic endpoints in animal models of cognition.

DNA & RNA

  • Bisulfite Seq DNA Methylation Analysis Determine DNA methylation status at single-base resolution
  • Methylation Analysis Determine genomic methylation patterns and analyze methylation in tumors and treated samples.
  • Tissue Microarray Screen large numbers of tissues for the presence or absence of specific molecular markers.

Management Optimization & Development Strategies

  • Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations

Medical Communications

  • Data Visualization Visualize data collected from clinical trials and/or clinical research.

Model Development

  • Disease Model Database For sourcing disease models.

Real World Evidence & Data

  • Claims Data - Pharmacy Includes medications, prescription orders, payment submissions, patient adherence, among others.
  • Clinical Data Registry A study or collection of data regarding the health of patients and the care they receive over different time periods.
  • Clinical Phenotype Data Obtain phenotypic data and observations on patients such as the clinical manifestation of the disease, clinical and behavioral parameters, symptoms, and laboratory test results.
  • Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
  • HealthVerity - Health Data Platform HealthVerity platform serves as the foundation for the rapid creation, exchange and management of healthcare and consumer data. Through best-in-class identity resolution and matching capabilities, increased...
  • Multi-Source Data Pools Multiple data sources aggregated into singular platforms for analysis. May or may not include real-time analytics capabilities.
Show all 19 in Real World Evidence & Data 13 more
  • Patient Reported Outcomes (PRO) Databases Database or collection of data related to health outcomes directly reported by the patient who experienced it, without interpretation of the patient's response by a clinician or anyone else.
  • Real-World Data Acquire real-world data from patients' electronic medical records including clinical information generated during the course of healthcare.
  • Real-World Evidence Acquire clinical data from patients' medical records to analyze trends and the frequency of occurrence of different medical conditions.
  • Registries - Disease Database containing, through utilizing observational research methods, standardized data about patients who have the same disease.
  • Registries - Patient Database containing, through utilizing observational research methods, standardized data about patients who have the same condition, disease, or exposure and is used to evaluate an outcome
  • Registries - Product Includes specific information about a product of interest, route of administration, dose, duration of use, start and stop date.
  • RWD - COVID-19 Data from COVID-19 patients, can include diagnosis, treatment, among others.
  • RWD - Diagnostics/Laboratory Includes information on laboratory procedures/results.
  • RWD - Electronic Medical Record (EMR) Digital version of a patient's medical or health chart containing demographic, clinical, medical, and other treatment information.
  • RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
  • RWD - Oncology Data from oncology patients, can include clinical treatment, diagnosis, among others.
  • RWD - Rare Diseases Data from patients with rare diseases, can include clinical treatment, diagnosis, among others.
  • Secondary Real World Evidence Analyze clinical trial data.

Regulatory Consulting

  • Environmental Fate and Ecotoxicology Data Review Identify relevant endpoints for fate and behavior (metabolism and excretion, degradation and soil adsorption) and toxicity (soil organisms, aquatic organisms, and dung fauna) of animal health products.
  • Toxicology Data Review Identify relevant toxicological endpoints for “No Observed (Adverse) Effect Level” (NO(A)EL) or “Lowest Observed (Adverse) Effect Level” (LO(A)EL).

Scientific Data Services

  • Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
  • Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
  • Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
  • Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
  • Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
  • Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
Show all 30 in Scientific Data Services 24 more
  • Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
  • Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
  • High-Performance Computing Compute using higher performing parallel processing.
  • In Silico Genomics/Transcriptomics Data Analysis Interpret DNA sequencing and microarray data.
  • In Silico Metagenomics/Metatranscriptomics Data Analysis Use software to analyze genomic information from multiple environmental sources.
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
  • Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
  • Metabolomics Data Analysis Use metabolites to identify any potential biomarkers or novel therapeutic targets that may play a role in the mechanisms responsible for the progression of a disease.
  • Metagenomics Data Analysis Deconvolute the genetic content of genomes contained in environmental samples by utilizing whole genome sequencing techniques to provide insight into microbial communities and host phenotypes.
  • Microbiome Data Analysis Determine the population composition of a microbial community and analyze its contribution to human or animal health.
  • Molecular Dynamics Software Run simulations that determine time-dependent behaviors of molecular systems.
  • Molecular Phylogenetics Analyze hereditary molecular differences in genomic sequences to compare genomes.
  • Mutation Data Profiling Guide treatment decisions in cancer based on the identification of genomic mutations .
  • Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
  • Ontology Mapping Assign given ontologies to source data. 
  • Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
  • Small RNA Gene Expression Quantify and analyze miRNA, piRNA, siRNA as well as other small nuclear RNAs from small-RNA-seq raw input data sets.
  • Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
  • System Development Plan, create and deploy an information system.
  • Systems Biomedicine Analyze complex interactions in biological systems with interdisciplinary scientific teams.
  • Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
  • Systems Pharmacology Understand how drugs interact with different molecular and cellular systems within biological models.

Other services

  • 3D Force Microscopy of Cells Measure cell-generated forces in 3D biopolymer networks that mimic the physiological situation of living cells.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • Denmark Frederiksberg 1 site

Source: Scientist.com supplier network (site locations)

Get the BioSpringbok ApS report as a PDF

The PDF carries up to 50 rows of each section, where the page shows the first few, with the sources listed. Enter a work email and confirm it from the message we send, and the report follows by email.

Sources: Scientist.com supplier network.

Work with BioSpringbok ApS on Scientist.com

For prices, more details, or to contact BioSpringbok ApS, visit Scientist.com.

Sign in to Scientist.com to open this supplier in your organization's marketplace.