相关实验视频

Updated: Sep 14, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

马西斯坦特:通过SELFIES编码通过EI-MS光谱对De Novo分子结构预测的深度学习模型

John Mommers¹, Lazar Barta², Marcin Pietrasik²

¹Envalior, Engineering Materials, Urmonderbaan 22, 6167 RD Geleen, the Netherlands.

Journal of chromatography. A

|July 24, 2025

概括

科学家们开发了MASSISTANT,这是一个深度学习模型,用于从质谱数据中识别未知的分子. 这种人工智能工具可以从EI-MS光谱中预测分子结构,从而提高分析的准确性和速度.

科学领域:

分析化学分析化学
计算化学计算化学
人工智能的人工智能

背景情况:

气色谱-电子冲击质谱 (GC-EI-MS) 对于识别挥发性和半挥发性化合物至关重要.
对未知化合物的EI-MS光谱的手动解释是耗时的,需要大量的专业知识.
现有的EI-MS数据库不完整,限制了新型分子结构的识别.

研究的目的:

介绍 MASSISTANT,这是一个新的深度学习模型,用于从EI-MS光谱中进行新的分子结构预测.
为了利用SELFIES编码来直接生成分子结构.
为质谱科学家提供一个自动化工具,用于增强化合物识别.

主要方法:

开发了一个名为MASSISTANT的深度学习模型.
使用SELFIES编码来表示分子结构.
训练模型在低分辨率EI-MS600Da以下化合物的光谱上.
评估包括NIST数据库在内的精选和广泛数据集的性能.

主要成果:

马西斯坦直接从EI-MS光谱中预测分子结构.
性能因数据集策划而异,在集中数据集上达到高达54%的准确预测 (塔尼莫托得分=1),而在完整的NIST数据集上为10%.
该模型展示了深度神经网络在解释复杂的碎片化模式方面的能力.

结论:

像MASSISTANT这样的深度学习模型可以有效地从EI-MS数据中生成化学有效的分子结构.
马西斯坦提供了一个强大的工具来帮助科学家解释质谱分析.
这种方法增强了GC-EI-MS中的分子结构,亚结构和功能组的阐明.

关键词:

化学信息学化学信息学预测De novo结构的预测深度学习是一种深度学习.电子冲击质谱学质谱学在GC-MS中使用GC-MS.自拍照片自拍照片

更多相关视频

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR

Published on: December 16, 2013

相关概念视频

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

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.

Cryo-electron Microscopy

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...

Nucleic Acid Structure

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...