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

Genetic Lingo01:11

Genetic Lingo

101.3K
Overview
101.3K
Translation01:31

Translation

14.6K
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
14.6K
GTPases and their Regulation02:14

GTPases and their Regulation

2.2K
2.2K
GPCR Desensitization01:12

GPCR Desensitization

5.8K
G protein-coupled receptor (GPCR) signaling plays a crucial role in cell functioning. GPCR desensitization is an equally essential process. It allows cells to respond to changing environments and regain sensitivity to new stimuli while preventing unnecessary stimulation when no longer needed. Prolonged exposure to stimuli leads to GPCR desensitization. It involves blocking the receptors from binding and activating additional G proteins. This inhibits activation of downstream effectors, thereby...
5.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.5K
2.5K
Termination of Translation01:44

Termination of Translation

5.4K
5.4K

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

Resources for screening the literature for glycan-related terms using PubAnnotation in GlyCosmos.

Glycobiology·2026
Same author

A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation.

Genomics & informatics·2025
Same author

Expanding the concept of ID conversion in TogoID by introducing multi-semantic and label features.

Journal of biomedical semantics·2025
Same author

Opportunities and Pitfalls with Large Language Models for Biomedical Annotation.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2024
Same author

Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2022
Same author

High-quality gene/disease embedding in a multi-relational heterogeneous graph after a joint matrix/tensor decomposition.

Journal of biomedical informatics·2022
Same journal

Precision Medicine Gene Network Analyser: part I-cancer driver gene identification through network topology and ensemble machine learning.

Genomics & informatics·2026
Same journal

A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity.

Genomics & informatics·2026
Same journal

Measuring the gap: correlating synthetic-to-real drift with PHI de-identification performance.

Genomics & informatics·2026
Same journal

Correction: Towards a transparent and reproducible AI-assisted research paper writing.

Genomics & informatics·2026
Same journal

Correction: Peptide‑based therapeutics targeting the SLC39A14‑PIWIL2 fusion in hepatocellular carcinoma.

Genomics & informatics·2026
Same journal

BioOne: a national-scale platform for integrated discovery and utilization of diverse biological resources in South Korea.

Genomics & informatics·2026
查看所有相关文章

相关实验视频

Updated: Jun 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

505

在数据库访问中为自然语言对话界面定制GPT.

Jin-Dong Kim1, Kousaku Okubo2

  • 1Database Center for Life Science (DBCLS), Joint Support-Center for Data Science Research (ROIS-DS), Research Organization of Information and Systems (ROIS), 178-4-4 Wakashiba, Kashiwa, 277-0871, Chiba, Japan. jdkim@dbcls.rois.ac.jp.

Genomics & informatics
|November 2, 2024
PubMed
概括
此摘要是机器生成的。

Anatomy3DExplorer使用自定义的ChatGPT作为探索3D解剖模型的自然语言界面. 这证明了大型语言模型 (LLM) 作为用户友好的数据库接口,有效地集成LLM和API.

关键词:
人体解剖学 解剖学 解剖学聊天GPT 聊天 在GPT 聊天数据库数据库数据库是一个数据库.在GPTS中使用GPTS.大型语言模型.自然语言对话接口接口.

更多相关视频

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

405
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.4K

相关实验视频

Last Updated: Jun 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

505
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

405
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.4K

科学领域:

  • 人体解剖学 解剖学 解剖学
  • 人工智能的人工智能
  • 数据库管理数据库管理

背景情况:

  • 探索复杂的3D解剖模型传统上需要专门的软件.
  • 对于非专家用户来说,访问解剖学数据库可能是一个挑战.
  • 大型语言模型 (LLM) 为直观的数据交互提供了新的可能性.

研究的目的:

  • 介绍Anatomy3DExplorer,一个用于解剖学3D模型探索的新型自然语言界面.
  • 展示LLM作为用户友好的接口来访问结构化数据的潜力.
  • 在GPTS框架内展示LLM与数据库API的集成.

主要方法:

  • 定制ChatGPT以创建基于对话的界面.
  • 将LLM与数据库API集成,用于查询解剖信息.
  • 使用GPTS框架实现无LLM-API互动.

主要成果:

  • Anatomy3DExplorer为3D解剖结构提供了一个自然语言对话界面.
  • 该研究证实了LLM在用户友好的数据库访问方面的巨大潜力.
  • 实现了LLM和数据库API的成功集成.

结论:

  • LLM提供了一种有希望且简单的方法,可以与复杂的解剖数据库进行交互.
  • Anatomy3DExplorer代表了在解剖学数据探索中的用户友好的进步.
  • 集成方法适用于其他特定领域的数据库探索任务.