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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Protein Organization01:13

Protein Organization

Overview

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Related Experiment Video

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

Computational systems biology: integration of sequence, structure, network, and dynamics.

Yong Wang1, Xiang-Sun Zhang, Luonan Chen

  • 1Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.

BMC Systems Biology
|June 22, 2011
PubMed
Summary

The 4th International Conference on Computational Systems Biology (CSB) convened in Suzhou, China. It brought together researchers to discuss advancements in computational systems biology.

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Area of Science:

  • Computational Systems Biology
  • Bioinformatics
  • Systems Biology

Background:

  • The conference highlighted the growing importance of computational approaches in understanding complex biological systems.
  • It served as a platform for disseminating recent research findings and fostering collaborations.

Framework:

  • The event focused on theoretical and experimental advancements in computational systems biology.
  • Discussions covered modeling, simulation, and data analysis in biological research.

Implementation:

  • Presentations showcased novel algorithms and computational tools for biological data.
  • Case studies demonstrated the application of systems biology principles in various research areas.

Implications:

  • The conference underscored the interdisciplinary nature of modern biology, integrating computational science with life sciences.
  • Outcomes are expected to drive innovation in drug discovery, personalized medicine, and understanding disease mechanisms.