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Combinatorial Gene Control02:33

Combinatorial Gene Control

9.8K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
9.8K
Cellular Differentiation00:57

Cellular Differentiation

5.9K
How does a complex organism such as a human develop from a single cell? It all starts from a single fertilized egg which gives rise to a vast array of cell types, such as nerve cells, muscle cells, and epithelial cells that characterize the adult? Throughout development and adulthood, cellular differentiation leads cells to assume their final morphology and physiology. Differentiation is the process by which unspecialized cells become specialized to carry out distinct functions.
A zygote is a...
5.9K
DNA as a Genetic Template02:05

DNA as a Genetic Template

28.3K
Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
28.3K
DNA as a Genetic Template02:05

DNA as a Genetic Template

9.7K
9.7K
Genetic Material01:20

Genetic Material

3.8K
Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
3.8K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

65.0K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
65.0K

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Updated: Mar 1, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

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Evolvoid：最適な細胞構造を形成するための遺伝的アルゴリズム

Piera Mancini1, Flavio Fontana1,2, Ermes Botte1,2

  • 1Research Center "E. Piaggio", University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.

Journal of biological engineering
|February 27, 2026
PubMed
まとめ
この要約は機械生成です。

Evolvoidは、遺伝的アルゴリズムを使用して仮想3D細胞構造を作成する新しい計算パイプラインです。この費用効果の高いインシリコ法は、創薬および生物学的研究のための細胞モデルを最適化します。

キーワード:
3D細胞構造デジタルツイン遺伝的アルゴリズムインシリコモデル

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

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関連する実験動画

Last Updated: Mar 1, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
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科学分野:

  • 計算生物学
  • 生物物理学

背景:

  • 正確な細胞モデルは、組織機能と創薬にとって重要です。
  • 現在のinvitroモデル（スフェロイド、オルガノイド）は高価で、スループットが低く、再現性がありません。
  • Evolvoidは、仮想3D細胞構造を生成するための遺伝的アルゴリズムを使用した計算パイプラインです。

研究 の 目的:

  • 3D細胞モデルを設計するための費用効果が高く再現可能な方法を開発すること。
  • 生物物理学の原理をシミュレートすることにより、仮想細胞構造の形態を最適化すること。
  • 研究におけるinvitroおよび動物モデルへの依存を減らすこと。

主な方法:

  • 有限要素シミュレーションと進化の原理を統合します。
  • 遺伝的アルゴリズムを使用してランダムな形状の集団を進化させます。
  • 表面エネルギーの最小化と酸素勾配下での細胞生存能力に基づいた適合関数を利用します。

主要な成果:

  • Evolvoidは、最適化された形態を持つ仮想的な3Dスフェロイド様構造を生成します。
  • 適合関数は、熱力学の原理、栄養素輸送、および細胞取り込みを組み込んでいます。
  • 進化した個体は、invitroスフェロイドに似た形状とサイズを示します。
  • シャノンエントロピーは、進化のダイナミクスと一致するゲノムの複雑さの増加を追跡します。

結論:

  • Evolvoidは、3D細胞モデルのインシリコ設計のためのモジュール式でスケーラブルで調整可能なプラットフォームです。
  • 生物学的システムの高忠実度デジタルツインの作成を可能にします。
  • ラップトップ上のラボ技術および新しいアプローチ方法論（NAM）の進歩をサポートします。