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

Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

283
The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
283
Introduction to z Scores01:05

Introduction to z Scores

1.0K
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
1.0K
Introduction to z Scores01:06

Introduction to z Scores

10.9K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
10.9K
Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

272
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
272
Response Surface Methodology01:16

Response Surface Methodology

572
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
572
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

1.2K
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
1.2K

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

The role of health institutions in the epidemiological surveillance of arboviral diseases in Rio Grande do Sul, Brazil: notification, hospitalization, and regional differences.

BMC public health·2026
Same author

RNA Therapeutics in Viral Infections and Cancer: Mechanisms, Challenges, and Prospects: A Review.

Pharmaceutics·2026
Same author

Docking in the Dark: Insights into Protein-Protein and Protein-Ligand Blind Docking.

Pharmaceuticals (Basel, Switzerland)·2025
Same author

RNA Therapeutics: Delivery Problems and Solutions-A Review.

Pharmaceutics·2025
Same author

Modelling the Effect of Viruses on Insect Survival: Using a Second-Order Phase Transition Model to Describe Time-Effect and Dose-Effect Relationships Using Entomopathogenic Viruses as an Example.

Insects·2025
Same author

Exploring the Scoring Function Space with Lasso Regression.

Methods in molecular biology (Clifton, N.J.)·2025
Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)·2026
查看所有相关文章

相关实验视频

Updated: Jan 6, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.5K

关于SAnDReS 2.0用于评分函数设计的入门教程

Amauri Duarte da Silva1, Martina Veit-Acosta2, Olga Tarasova3

  • 1Graduate Program in Information Technologies and Health Management, Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS, Brazil.

Methods in molecular biology (Clifton, N.J.)
|October 11, 2025
PubMed
概括
此摘要是机器生成的。

这项研究应用了线性回归,一种监督机器学习技术,用于预测对接屏幕中的酶抑制. 使用SAnDReS 2.0开发的模型展示了分析蛋白质-连接体相互作用的实用方法.

关键词:
阿尔法折叠是什么意思阿尔法折叠人工智能的人工智能是人工智能.循环素依赖性激酶2的作用.停靠对接 停靠对接机器学习是机器学习.蛋白质 - 配体相互作用桑德里斯的时间

更多相关视频

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.1K
A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays
10:44

A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays

Published on: August 26, 2013

14.5K

相关实验视频

Last Updated: Jan 6, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.5K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.1K
A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays
10:44

A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays

Published on: August 26, 2013

14.5K

科学领域:

  • 计算化学是一种计算化学.
  • 化学信息学 化学信息学
  • 生物化学 生物化学

背景情况:

  • 蛋白质 - 配体相互作用在药物发现中至关重要.
  • 计算对接屏幕对于分析这些相互作用至关重要.
  • 监督机器学习为预测建模提供了先进的方法.

研究的目的:

  • 探索线性回归用于预测酶抑制的应用.
  • 开发和实施对接屏幕的监督机器学习模型.
  • 提供一个实用的例子,使用SAnDReS 2.0和循环林依赖激酶2.

主要方法:

  • 利用线性回归,一个参数监督机器学习方法.
  • 采用SAnDReS 2.0程序进行模型开发.
  • 在Python中使用Scikit-Learn库实现了模型.
  • 将模型应用于玩具数据集和关于激酶抑制的现实世界案例研究.

主要成果:

  • 一个线性回归模型成功构建,以预测酶抑制.
  • 该模型量化了分子参数和实验抑制数据之间的关系.
  • 证明了线性回归在对接屏幕中的一般适用性.

结论:

  • 线性回归提供了一个简单而有效的参数方法,用于对接屏幕的监督学习.
  • 该SAnDReS 2.0计划促进了对酶抑制的预测模型的开发.
  • 该研究提供了实际实施细节和进一步研究的代码.