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University of Pittsburgh - Drug Discovery Institute

University of Pittsburgh - Drug Discovery Institute is listed as an academic core research supplier in the Scientist.com network, with 2 sites in 1 country.

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Sites 2
Countries 1

Services

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

Type of company: Academic core

Bioimaging

  • Bioimaging Visualize biological process non-invasively in real time.

Biomarkers

  • Cell Migration Assays Measure chemotaxis, haptotaxis, transmigration and wound-healing.
  • Cell Viability Measure changes in cell number, cell division, DNA content or a cell metabolism marker such as ATP levels.
  • Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.
  • Predictive Biomarkers Discovery Identify candidate biomarkers suggestive of a response to a treatment.

Cell Culture and Characterization

  • Cell Line Characterization Track source history and characterize cell lines to establish identity, purity and stability.
  • Custom 3D Microtissue Development Convert cell lines into highly functional 3D microtissues using scaffold-free self-assembly.

Chemical and Compound Testing

  • Product Testing Ensure product quality standards are met.

Disease Models

  • Drug-Induced Liver Injury (DILI) Toxicity Assays Use biochemical, cell-based or in vivo assays to measure toxicity from drug-induced liver injury.
  • Huntington's Disease Models Measure therapeutic endpoints in animal models of Huntington's disease.
  • Parkinson's Disease Models Measure therapeutic endpoints in animal models of Parkinson's disease.

General in vivo Toxicology

  • General Toxicology Use in vivo models to assess acute and sub-acute toxicity as well as chronic and sub-chronic toxicity.
Show all 50 services 38 more

General Marketing

  • Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

Human Biological Samples

  • Human Organs-On-Chips Use Organs-On-Chips for target identification and validation, target-based screening, and phenotypic screening.

In Vitro ADME

  • CYP Induction Detect increases in the expression of various isoforms of cytochrome P450 (CYP450).
  • CYP Inhibition Assay Assess the inactivation and inhibition of cytochrome P450 (CYP450) in microsomes isolated from primary human hepatocytes or liver.
  • Drug Drug Interactions Determine whether a substance affects the activity of a drug when both are administered together.
  • Phase I Metabolism Use enzymes such as cytochrome P450 oxidases to introduce reactive or polar groups into xenobiotics.

In Vitro Assays

  • Apoptosis Assays Detect apoptotic events that lead to programmed cell death.
  • Biosensor Assays Evaluate biological activity of new compounds, detect toxic metabolites or monitor biomarkers.
  • Cell Based Assays Apply compounds to cells and test for cellular phenotypes and effects on gene expression
  • Cell Based Assays Consulting Expert advice to evaluate the functions of specific chemicals based on their constructions and systems.
  • Cell Proliferation Measure cell number, cell viability and cell division.
  • High Content Screening Analyze whole cells or components of cells with simultaneous readout of several parameters.
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  • Phenotype Assays Measure effects of drug candidate on the morphology or function of cells and whole animals.

In Vitro Pharmacology

  • High Throughput Screening Conduct millions of chemical, genetic or pharmacological tests in a short period of time.
  • In Vitro Diabetes Models Measure insulin stimulation of glucose uptake and metabolism of lipids including cholesterol and triglycerides.
  • In Vitro Hepatotoxicity Assays Use in vitro assays to measure hepatoxicity-related activities.
  • In Vitro Oncology Models Use cell-based and biochemical models of cancer.

In Vitro Toxicology

  • Cardiomyocyte Toxicity Assess cytotoxic effects of pre-clinical compounds on cardiomyocytes.
  • CH50 Assays Measure the functional activity of the classical complement activation pathway in serum or other fluid samples.
  • Cytotoxicity Test for effects on cell viability and proliferation
  • Endothelial Cell Toxicity Assess the cytotoxic effects of pre-clinical compounds on the vascular system.
  • HepaRG Cells Obtain terminally differentiated and cryopreserved hepatic cells that retain many characteristics of primary human hepatocytes.
  • Hepatocyte Toxicity Assess the cytotoxic effects of pre-clinical compounds on hepatocytes purified from patients and animal models.
Show all 7 in In Vitro Toxicology 1 more
  • Zebrafish Embryo Toxicity Use a single animal species to create one models of toxicity.

Model Development

  • Zebrafish Animal Model Model human disease and development in zebrafish.

Other Specialty Toxicology

  • Biosafety Testing Consulting Expert advice to conduct safe and responsible biological procedures and practices.

Safety Pharmacology

  • Off Target Effects Assess toxicities by body weight, clinical chemistry, hematology, urinalysis and terminal necropsy and pathology.
  • Safety Pharmacology Assess the impact of a therapeutic for human use on vital organ systems before first-in-man drug testing.
  • Target Safety Assessment Understand the role of your drug target and assess risks in normal physiology.

Scientific Data Services

  • Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
  • Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
  • Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
  • Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
  • Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Show all 8 in Scientific Data Services 2 more
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • Systems Pharmacology Understand how drugs interact with different molecular and cellular systems within biological models.

Target Animal and Human Food Safety

  • Toxicokinetic Analysis Determine the drug concentration at which off-target or toxic effects occur.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United States Pittsburgh 2 sites

Source: Scientist.com supplier network (site locations)

About this supplier

In the supplier's own words, as listed in the Scientist.com network.

An important aspect of the new vision for drug discovery at the UPDDI is the integration of computational tools in the analysis of drug-target interactions and in developing strategies to advance novel chemical series. The Department of Computational and Systems Biology is well equipped to meet the challenge. Available to the group are 864 CPU cores and a 100 node cluster with 1.4 TB memory and 16 TB storage, Infiniband interfaces with 63 nodes having 20 Gbps and 12 having 40 Gbps, and Windows and Linux servers for sharing files, printers, and other resources. Various modeling software...

Show the full description

An important aspect of the new vision for drug discovery at the UPDDI is the integration of computational tools in the analysis of drug-target interactions and in developing strategies to advance novel chemical series. The Department of Computational and Systems Biology is well equipped to meet the challenge. Available to the group are 864 CPU cores and a 100 node cluster with 1.4 TB memory and 16 TB storage, Infiniband interfaces with 63 nodes having 20 Gbps and 12 having 40 Gbps, and Windows and Linux servers for sharing files, printers, and other resources. Various modeling software includes CCDC GOLD, MOE, Chimera, VMD, NAMD, and OpenEye Applications and Toolkits: Tripos Sybyl. Research software tools include GNM, ANM, and PCA_NEST servers, ProDy, and several network accessible databases of biological research data are routinely employed. The computation capacity for in silico HTS is up to 16 M compounds per day in a pharmacophore based screen and 2 M compounds in a docking screen when using 184 CPUs. For molecular dynamics simulations the capacity is 2 to 10 ns per day depending on the protein size using 24 to 72 CPUs.

Website
www.upddi.pitt.edu

Source: Scientist.com supplier network, written by the supplier

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Sources: Scientist.com supplier network.

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