相关实验视频

Updated: Jul 12, 2026

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

SOMMD:使用自组织地图分析分子动力学模拟的R包

Stefano Motta¹, Lara Callea¹, Shaziya Ismail Mulla²

¹Department of Earth and Environmental Sciences, University of Milano-Bicocca, Milan, 20126.

Bioinformatics (Oxford, England)

|May 15, 2025

概括

我们开发了SOMMD,这是一个R包,用于使用自组织地图 (SOMs) 分析分子动力学 (MD) 模拟. 该工具简化了复杂的轨迹数据解释,有助于理解生物分子过程.

科学领域:

计算生物学计算生物学
生物物理学的生物物理.
数据科学数据科学数据科学

背景情况:

分子动力学 (MD) 模拟提供了对生物分子过程的洞察力,但产生了复杂的高维数据.
像主要组件分析 (PCA),时间滞后的独立组件分析 (TICA) 和自组织地图 (SOMs) 等维度减小技术有助于提取功能动态信息.
基于SOM的MD分析需要一个用户友好和灵活的框架,具有可适应的工作流程和可定制选项.

研究的目的:

设计和开发SOMMD,一个简化MD分析工作流程的R包.
为了促进使用SOM的原子轨迹的解释.
为MD分析的所有阶段提供工具,从数据导入到可视化.

主要方法:

开发SOMMD,一个R包,实现MD数据的自组织地图.
整合用于导入各种MD轨迹数据类型的工具.
实施增强的可视化技术.

主要成果:

SOMMD提供了一个精简的工作流程,用于使用SOMs进行MD数据分析.
该软件包提供了用于导入数据,分析和可视化原子轨迹的工具.
包含的示例项目展示了集群分析,路径映射和过渡网络重建中的应用.

结论:

SOMMD提高了复杂的MD模拟数据的解释.
基于SOM的分析,R包提供了一种灵活和用户友好的方法.
在理解生物分子动力学方面,SOMMD支持各种应用.

更多相关视频

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

相关概念视频

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

Distribution of Molecular Speeds

Distribution of Molecular Speeds

The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...