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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
What is a Hypothesis?01:14

What is a Hypothesis?

A hypothesis can be a simple sentence or statement about a property or any phenomenon observed or predicted for a population. It is usually a claim about a  property of the population. It can be stated for any field observations or experiments. A hypothesis statement cannot be said to be right or wrong as it is merely a statement. It needs to be tested through an elaborate data collection process and an appropriate statistical test. A hypothesis should be a general but not a vague statement. It...
Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...

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High Content Screening in Neurodegenerative Diseases
13:32

High Content Screening in Neurodegenerative Diseases

Published on: January 6, 2012

Hypothesis-driven screening.

Ulrich Schopfer1, Caroline Engeloch, Frank Höhn

  • 1Novartis Institutes for BioMedical Research, Novartis Pharma AG, Basel, Switzerland.

Methods in Molecular Biology (Clifton, N.J.)
|September 4, 2009
PubMed
Summary
This summary is machine-generated.

Phenotypic chemogenomics screening needs flexible strategies. A new High Throughput Cherry Picking (HTCP) system using acoustic dispensing enables hypothesis-driven experiments, improving accuracy in drug discovery.

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Area of Science:

  • Chemogenomics
  • High-throughput screening
  • Drug discovery

Background:

  • Phenotypic chemogenomics studies are complex, often yielding false positives/negatives.
  • Traditional High Throughput Screening (HTS) lacks flexibility for iterative, hypothesis-based experiments.
  • Adapting screening for complex biological systems is crucial for effective lead identification.

Purpose of the Study:

  • To introduce a novel High Throughput Cherry Picking (HTCP) system.
  • To enable a new paradigm of hypothesis-driven screening in chemogenomics.
  • To demonstrate the utility of HTCP in real-world chemogenomics studies.

Main Methods:

  • Development of a High Throughput Cherry Picking (HTCP) system.
  • Utilizing acoustic dispensing technology for precise compound handling.
  • Implementing iterative, hypothesis-based experimental workflows.

Main Results:

  • The HTCP system provides the necessary flexibility for hypothesis-driven experiments.
  • Demonstrated successful application in three distinct chemogenomics studies.
  • Improved efficiency and accuracy in identifying potential drug leads.

Conclusions:

  • The HTCP system supports a more effective screening paradigm for chemogenomics.
  • Hypothesis-based screening enhances the reliability of results in complex biological systems.
  • This approach advances lead finding in drug discovery.