Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

PyTEA-O: a Python implementation of Two-Entropies Analysis for protein sequence variation analysis.

Bioinformatics (Oxford, England)·2026
Same author

Corrigendum to "Impact of cancer-associated mutations in CC chemokine receptor 2 on receptor function and antagonism" [Biochem. Pharmacol. 208 (2023) 115399].

Biochemical pharmacology·2023
Same author

Papyrus: a large-scale curated dataset aimed at bioactivity predictions.

Journal of cheminformatics·2023
Same author

Impact of cancer-associated mutations in CC chemokine receptor 2 on receptor function and antagonism.

Biochemical pharmacology·2022
Same author

Pan-cancer functional analysis of somatic mutations in G protein-coupled receptors.

Scientific reports·2022
Same author

GenUI: interactive and extensible open source software platform for de novo molecular generation and cheminformatics.

Journal of cheminformatics·2021
Same journal

Probabilistic RNA designability via interpretable ensemble approximation and dynamic decomposition.

Bioinformatics (Oxford, England)·2026
Same journal

Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.

Bioinformatics (Oxford, England)·2026
Same journal

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026
Same journal

BiMba: using Vision Mamba to predict protein sites that bind other proteins.

Bioinformatics (Oxford, England)·2026
Same journal

ProMeta: a meta-learning framework for robust disease diagnosis and prediction from plasma proteomics.

Bioinformatics (Oxford, England)·2026
Same journal

Is a Win-Win possible? Achieving pareto-optimal privacy-utility balance in fine-tuned genome language model embeddings against embedding reconstruction attacks.

Bioinformatics (Oxford, England)·2026
查看所有相关文章

相关实验视频

Updated: May 17, 2026

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
09:01

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

Published on: March 16, 2011

30.7K

PyVADesign:一个基于Python的克隆工具,用于单步生成大型突变库

R C M Kuin1,2, M H Lamers2, G J P van Westen2

  • 1Computational Drug Discovery, Medicinal Chemistry, Leiden University, Leiden, 2333 CC, the Netherlands.

Bioinformatics (Oxford, England)
|September 1, 2025
PubMed
概括
此摘要是机器生成的。

它简化了蛋白质突变的创建. 这种低成本的工具有助于研究人员设计和订购双链DNA片段, 以提高蛋白质的效率.

更多相关视频

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
10:50

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

Published on: April 1, 2016

11.0K
A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors
09:16

A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors

Published on: October 30, 2016

11.4K

相关实验视频

Last Updated: May 17, 2026

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
09:01

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

Published on: March 16, 2011

30.7K
Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
10:50

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

Published on: April 1, 2016

11.0K
A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors
09:16

A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors

Published on: October 30, 2016

11.4K

科学领域:

  • 分子生物学
  • 蛋白质工程
  • 生物信息学

背景情况:

  • 产生多样化的蛋白质突变对于理解蛋白质功能至关重要.
  • 传统的突变生成方法可能耗时且昂贵.
  • 合成的双链DNA (dsDNA) 片段插入为创建突变库提供了更快,更便宜的替代方案.

研究的目的:

  • 开发一种可访问和有效的工具,用于设计蛋白质突变的dDNA片段.
  • 为了简化各种蛋白质突变的过程.
  • 减少与蛋白质工程相关的成本和时间.

主要方法:

  • 开发PyVADesign,一个用于设计dDNA片段的Python包.
  • 实施突变聚类以实现高效的克隆.
  • 用于等离子体制备和测序的原料自动设计.

主要成果:

  • 通过PyVADesign,可以简单有效地设计和订购dDNA片段.
  • 该包可以通过克隆组有效地将突变交换成体.
  • 集成了用于等离子体制备和测序的自动化原料设计.

结论:

  • PyVADesign为蛋白质工程和分子生物学研究人员提供了宝贵的资源.
  • 该软件提高了蛋白质突变库的效率,并降低了生成蛋白质突变库的成本.
  • PyVADesign是开源的,促进科学界的可访问性和进一步发展.