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Related Concept Videos

Crossover Experiments01:16

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Coupled Reactions01:17

Coupled Reactions

Cellular processes such as building and breaking down complex molecules occur through stepwise chemical reactions. Some of these chemical reactions are spontaneous and release energy, whereas others require energy to proceed. Cells often couple the energy-releasing reaction with the energy-requiring one to carry out important cell functions. 
Energy in adenosine triphosphate or ATP molecules is easily accessible to do work. ATP powers the majority of energy-requiring cellular reactions. Cells...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

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Related Experiment Video

Updated: Jun 3, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

COMBREX: COMputational BRidge to EXperiments.

Richard J Roberts1

  • 1New England Biolabs, 240 County Road, Ipswich, MA 01938, USA. roberts@neb.com

Biochemical Society Transactions
|March 25, 2011
PubMed
Summary
This summary is machine-generated.

The COMBREX project uses computational predictions to guide experimental testing of gene functions in bacterial and archaeal genomes. This approach prioritizes uncharacterized genes for efficient functional annotation across multiple species.

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Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
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Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

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Last Updated: Jun 3, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Genome sequencing has outpaced functional characterization, leaving many genes with unknown functions.
  • Accurate functional annotation is crucial for understanding biological systems and advancing research.

Purpose of the Study:

  • To establish computational bridges to experimentation (COMBREX) for improving genome functional annotation.
  • To create a collaborative framework engaging the biological community in experimental validation of predicted gene functions.

Main Methods:

  • Generation of a comprehensive database of computationally predicted gene functions for bacterial genomes.
  • Prioritization of genes lacking experimental evidence or appearing in multiple genomes for functional testing.
  • Solicitation of biochemists to experimentally validate high-priority predicted gene functions.

Main Results:

  • A pilot project focusing on bacterial and archaeal genomes is underway.
  • The COMBREX model facilitates targeted experimental investigation of novel gene functions.
  • This project aims to accelerate the discovery of gene functions through a combined computational-experimental approach.

Conclusions:

  • COMBREX offers a scalable solution to the challenge of genome functional annotation.
  • Integrating computational predictions with experimental validation enhances the efficiency of biological discovery.
  • This project fosters interdisciplinary collaboration to advance genomic understanding.