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

High-Performance Liquid Chromatography: Elution Process01:05

High-Performance Liquid Chromatography: Elution Process

1.5K
In High-Performance Liquid Chromatography (HPLC), the elution process is critical to the separation of analytes and the quality of chromatographic results. Elution describes how compounds move through the column and separate based on their interactions with the mobile and stationary phases. This process determines the resolution, peak shape, and retention times in the chromatogram, which are essential for identifying and quantifying components in complex mixtures. Understanding the elution...
1.5K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

66.3K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
66.3K
Hybrid Zones02:29

Hybrid Zones

21.8K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
21.8K
Steps in the Modeling Process01:14

Steps in the Modeling Process

653
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
653
Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

48.4K
sp3d and sp3d 2 Hybridization
48.4K
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

49
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
49

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

Defining operating regimes for partition coefficient measurements in protein chromatography.

Journal of chromatography. A·2025
Same author

A batch screening technique for the calculation of chromatographic separability.

Journal of chromatography. A·2024
Same author

Different modes of stimuli delivery elicit changes in glutamate driven, experience-dependent interneuron response in C. elegans.

Neuroscience research·2022
Same author

A framework for calculating orthogonal selectivities in multimodal systems directly from cell culture fluid.

Biotechnology and bioengineering·2021
Same author

Effects of molecule size and resin structure on protein adsorption on multimodal anion exchange chromatography media.

Journal of chromatography. A·2020
Same author

Structure and functional properties of Capto™ Core 700 core-shell particles.

Journal of chromatography. A·2020

相关实验视频

Updated: Jan 25, 2026

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
12:02

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis

Published on: April 11, 2016

11.9K

整合混合建模和高吞吐量选:用于流通色谱的模块化工艺开发平台.

Llian Mabardi1, Janani Ram1, Chris Gerberich2

  • 1Department of Chemical Engineering, University of Virginia, Charlottesville, VA 22903, United States.

Journal of chromatography. A
|January 23, 2026
PubMed
概括

机器学习模型使用高吞吐量选数据预测蛋白质加载和产量,简化生物过程开发. 这种方法提供了比传统方法更少的实验输入的准确预测.

关键词:
流通色谱通过染色学.高通量的高通量.混合型建模混合型建模机器学习 机器学习机械模型的建模.过程开发 过程开发

更多相关视频

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

10.0K
Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments
07:50

Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments

Published on: October 25, 2024

2.3K

相关实验视频

Last Updated: Jan 25, 2026

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
12:02

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis

Published on: April 11, 2016

11.9K
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

10.0K
Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments
07:50

Author Spotlight: Scalable Drug Screening Protocol for Efficient Discovery of M. abscessus Treatments

Published on: October 25, 2024

2.3K

科学领域:

  • 生物制药制造业 生物制药制造业
  • 过程开发 过程开发
  • 染色体学 染色体学是什么

背景情况:

  • 生物制药行业对于复杂的治疗药物要求高效的工艺.
  • 流通和正面加载染色学提供了高容量和简单性.
  • 目前的高吞吐量选 (HTS) 与机械建模在模型校准和捕捉复杂效应方面面临挑战.

研究的目的:

  • 开发机器学习 (ML) 模型,用于预测色谱中的蛋白质负载和产量.
  • 使用基于HTS板的数据作为ML模型训练的唯一输入.
  • 创建一个平台,在过程开发中无集成HTS和混合建模.

主要方法:

  • 开发神经网络和符号回归模型,使用一般速率模型 (GRM) 模拟数据库.
  • 为理想的染色学条件创建了新的分析表达式,将传输限制视为干扰.
  • 根据GRM模拟和实验数据验证了ML模型,考虑到实验不确定性.

主要成果:

  • ML模型只使用可访问的HTS输入,准确地预测蛋白质负载和产量.
  • 神经网络显示了最高的准确性;象征回归提供了可解释性和简单性.
  • 在典型的实验不确定性下,ML模型的预测错误与机械模拟相比或小于机械模拟.

结论:

  • 拟议的平台整合了HTS和混合建模,以实现高效的生物工艺开发.
  • ML模型将HTS数据转化为树脂和条件选择的实际指南.
  • 预测的纯度,产量和生产率与实验柱的性能保持一致.