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相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Synthetic Biology02:55

Synthetic Biology

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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...
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The Central Dogma01:20

The Central Dogma

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The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
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相关实验视频

Updated: Jul 9, 2025

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
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Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

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用机器智能产生生物活性天然产品启发的分子.

Petra Schneider1, Karl-Heinz Altmann2, Gisbert Schneider3

  • 1ETH Zurich, Zurich, Switzerland. petra.schneider@sl.ethz.ch.

Chimia
|December 9, 2023
PubMed
概括
此摘要是机器生成的。

机器学习通过产生灵感来自自然产品的新分子来加速药物发现. 这种"虚拟化学家"的方法有助于药物化学家创造具有所需特性的新生物活性化合物.

关键词:
人工智能的人工智能是人工智能.药物发现 药物发现机器学习 机器学习自然产品是一种自然产品.

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From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
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From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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A Web Tool for Generating High Quality Machine-readable Biological Pathways

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Last Updated: Jul 9, 2025

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11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

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From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
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From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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科学领域:

  • 药用化学 医学化学
  • 计算化学计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 计算机辅助药物设计 (CADD) 正在推进机器学习 (ML) 进行自动化分子生成.
  • 机器学习的整合旨在通过人工智能增强药物化学家的创造力.
  • 自然产品是新药候选人的丰富灵感来源.

研究的目的:

  • 探索新药设计和目标预测的潜在应用.
  • 以计算方式生成自然产品启发的生物活性化合物.
  • 预测自然产品启发的药物发现的未来.

主要方法:

  • 利用机器学习模型进行自动化分子生成.
  • 使用"虚拟化学家"概念将天然产品转化为合成分子.
  • 应用计算活动预测和自动化化合物生成.

主要成果:

  • 展示ML如何从天然产品模板中创建新型,易于合成的小分子.
  • 系统地将知识从天然产品转移到合成药物发现的潜力.
  • 介绍了以天然产品为灵感的药物设计的前景示例.

结论:

  • 机器学习显著推进了新药设计和目标预测.
  • 自动生成以天然产品为灵感的化合物为药物发现提供了一个强大的新途径.
  • 自然产品和计算方法之间的协同作用有望为创新的治疗方法提供未来.