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Genomics02:02

Genomics

36.4K
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...
36.4K
Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

5.3K
In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
5.3K
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

2.0K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
2.0K
Bioavailability: Overview01:13

Bioavailability: Overview

2.8K
Bioavailability refers to the proportion of an unaltered drug that, after administration, enters the systemic circulation and can be distributed to the desired action site. Factors such as gastrointestinal (GI) absorption and liver biotransformation influence the bioavailability of a drug when it is administered orally. When a drug is administered intravenously, it enters the systemic circulation directly; by definition, its bioavailability is assumed to be 100%. The bioavailability of an...
2.8K
Synthetic Biology02:55

Synthetic Biology

4.8K
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...
4.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.9K

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相关实验视频

Updated: Jul 9, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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生物BLP:一个模块化框架,用于学习多模式生物医学知识图.

Daniel Daza1,2,3, Dimitrios Alivanistos4,5, Payal Mitra6

  • 1Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. d.dazacruz@vu.nl.

Journal of biomedical semantics
|December 9, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的生物医学知识图嵌入方法,该方法包含多式联络数据,在药物蛋白相互作用预测和未研究实体方面显示出更好的性能. 有效的预训练策略显著减少了运行时间,同时提高了结果.

关键词:
生物医学知识 生物医学知识图形嵌入式 图形嵌入式多模式知识图表多模式知识图表

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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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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相关实验视频

Last Updated: Jul 9, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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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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科学领域:

  • 生物医学信息学 生物医学信息学
  • 机器学习 机器学习
  • 图形表示学习学习学习图形表示学习

背景情况:

  • 生物医学知识图 (KG) 表示复杂的关系,用于链接预测的嵌入.
  • 现有的方法往往忽略了多式实体属性 (例如,蛋白质序列,分子图).
  • 生物医学KG具有异质数据模式的实体,对统一的代表性提出了挑战.

研究的目的:

  • 开发一个框架,将多式联络数据纳入生物医学KG嵌入式.
  • 分析与传统方法相比,多式联运嵌入的性能.
  • 解决缺少属性的实体,并优化培训效率.

主要方法:

  • 提出了一个模块化框架 (BioBLP),用于学习具有多式联络实体属性的KG嵌入.
  • 开发了一种高效的预训练策略,以缩短训练时间.
  • 在大型生物医学KG (约200万倍) 上训练和评估模型,用于链接预测和药物-蛋白相互作用预测.

主要成果:

  • 多模式方法在标准链接预测中显示出竞争性表现,在药物蛋白相互作用预测中表现优于基线.
  • 属性整合提高了低节点级别的实体的性能 (约. 75% 的疾病).
  • 预训练策略显著提高了性能,减少了训练运行时间;属性编码器优化增加了成本.

结论:

  • 生物BLP促进了生物医学KG中的多式联络数据集成.
  • 属性数据集成为特定实体子集提供了好处,特别是那些研究不足的实体子集.
  • 这些发现表明,在数据有限的领域,有可能加强科学发现.