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Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

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Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
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Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

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2.7K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

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Complexation Equilibria: Overview01:23

Complexation Equilibria: Overview

1.5K
Complexation reactions take place when dative or coordinate covalent bonds form between metal ions and ligands. The compounds formed in these reactions are called coordination compounds. The number of bonds formed between the metal ion and the ligands is called its coordination number. Generally, most metal ions in an aqueous solution are solvated by water molecules and thus exist as aqua complexes.
The equilibrium constant of the complexation reaction is represented as the formation constant...
1.5K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

843
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
843
Competition02:34

Competition

25.2K
When organisms require the same limited resources within an environment, they may have to compete for them. Competition is a net-negative interaction. Even if two competing individuals or populations do not interact directly, the overall fitness of both competitors is lowered as a result of not having full access to the limited resource.
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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競争性の高いネットワークモデルのダイナミクスを安定させる.

Jacopo Grilli1, György Barabás1, Matthew J Michalska-Smith1

  • 1Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, Illinois 60637, USA.

Nature
|July 27, 2017
PubMed
まとめ
この要約は機械生成です。

高いレベルの相互作用によって 生態系が安定し 多様な種が共存できるのです この研究は,これらの複雑な関係が 生物多様性を維持し,以前の生態学的モデルの限界を解決する方法を示しています.

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells
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科学分野:

  • エコロジー
  • 理論的な生態学
  • 生物多様性科学

背景:

  • シンプルなモデルでは 大きく安定した生態系が説明できないので 生態系コミュニティは生物多様性を維持する上で 課題に直面しています
  • 中立的なモデルは,移民と種を考慮しながら,非現実的な人口動態と種の年齢相関を生成します.
  • 現存するモデルでは 大きく相互作用する生態系のコミュニティの 持続性を説明する能力が不足しています

研究 の 目的:

  • 生態コミュニティの安定化におけるより高いレベルの相互作用の役割を調査する.
  • 大規模で多様な生態系の 持続性を説明できるモデルを 開発すること
  • 生態コミュニティの構造とダイナミクスの上位階の相互作用の影響を明らかにする.

主な方法:

  • 競争力のあるネットワークモデルを開発し,より高いレベルの相互作用を組み込む.
  • 集団の豊富さとパラメータ値の混乱下でモデルダイナミクスの分析.
  • 高度な相互作用は,経験的検証のための対対の相互作用によって定義されるフレームワーク.

主要な成果:

  • 高いレベルの相互作用を 含めると,生態学的コミュニティの ダイナミクスを大きく安定させる.
  • 種の共存は,集団の多量とパラメータの値の両方の混乱に強固になります.
  • 高いレベルの相互作用は,閉じた生態系と開かれた生態系の両方のモデルで強い効果を示しています.

結論:

  • 大規模で多様な生態系の持続には 高いレベルの相互作用が不可欠です
  • この研究は,複雑な種の相互作用を通して生物多様性の維持を理解するための理論的枠組みを提供します.
  • 提案されたモデルは,経験的パラメータ化と検証を容易にし,生態学理論を前進させる.