相关实验视频

Updated: Jan 12, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.3K

使用蛋白质学信息的大型语言模型的变异分类增加了罕见变异关联研究的力量,并增强了目标发现

Christopher E Gillies1, Joelle Mbatchou1, Lukas Habegger1

  • 1Regeneron Genetics Center, Tarrytown, New York, USA.

Genetic epidemiology
|November 3, 2025
PubMed
概括

使用蛋白质组学数据改进了用于预测有害遗传变异的大型语言模型 (LLM). 这种精细的方法增强了在人类遗传研究中发现基因特征关联的发现.

更多相关视频

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

1.3K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.2K

相关概念视频

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.3K