4.7 Article

E3Net: A System for Exploring E3-mediated Regulatory Networks of Cellular Functions

期刊

MOLECULAR & CELLULAR PROTEOMICS
卷 11, 期 4, 页码 -

出版社

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.O111.014076

关键词

-

资金

  1. Converging Research Center [2011K000864]
  2. National Research Foundation of Korea [2011-0018264]
  3. KAIST from the Ministry of Education, Science and Technology of Korea

向作者/读者索取更多资源

Ubiquitin-protein ligase (E3) is a key enzyme targeting specific substrates in diverse cellular processes for ubiquitination and degradation. The existing findings of substrate specificity of E3 are, however, scattered over a number of resources, making it difficult to study them together with an integrative view. Here we present E3Net, a web-based system that provides a comprehensive collection of available E3-substrate specificities and a systematic framework for the analysis of E3-mediated regulatory networks of diverse cellular functions. Currently, E3Net contains 2201 E3s and 4896 substrates in 427 organisms and 1671 E3-substrate specific relations between 493 E3s and 1277 substrates in 42 organisms, extracted mainly from MEDLINE abstracts and UniProt comments with an automatic text mining method and additional manual inspection and partly from high throughput experiment data and public ubiquitination databases. The significant functions and pathways of the extracted E3-specific substrate groups were identified from a functional enrichment analysis with 12 functional category resources for molecular functions, protein families, protein complexes, pathways, cellular processes, cellular localization, and diseases. E3Net includes interactive analysis and navigation tools that make it possible to build an integrative view of E3-substrate networks and their correlated functions with graphical illustrations and summarized descriptions. As a result, E3Net provides a comprehensive resource of E3s, substrates, and their functional implications summarized from the regulatory network structures of E3-specific substrate groups and their correlated functions. This resource will facilitate further in-depth investigation of ubiquitination-dependent regulatory mechanisms. E3Net is freely available online at http://pnet.kaist.ac.kr/e3net. Molecular & Cellular Proteomics 11: 10.1074/mcp.O111.014076, 1-14, 2012.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemistry & Molecular Biology

Copine1 regulates neural stem cell functions during brain development

Tae Hwan Kim, Soo-Eun Sung, Jae Cheal Yoo, Jae-Yong Park, Gwan-su Yi, Jun Young Heo, Jae-Ran Lee, Nam-Soon Kim, Da Yong Lee

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS (2018)

Article Biochemistry & Molecular Biology

JAB1 regulates CPNE1-related differentiation via direct binding to CPNE1 in HiB5 hippocampal progenitor cells

Jae Cheal Yoo, Nammi Park, Hye Young Choi, Jae-Yong Park, Gwan-Su Yi

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS (2018)

Article Biochemistry & Molecular Biology

Acebutolol, a Cardioselective Beta Blocker, Promotes Glucose Uptake in Diabetic Model Cells by Inhibiting JNK-JIP1 Interaction

Yi Li, Nan-Young Jung, Jae Cheal Yoo, Yul Kim, Gwan-Su Yi

BIOMOLECULES & THERAPEUTICS (2018)

Article Biochemistry & Molecular Biology

Prediction of Novel Anoctamin1 (ANO1) Inhibitors Using 3D-QSAR Pharmacophore Modeling and Molecular Docking

Yoon Hyeok Lee, Gwan-Su Yi

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2018)

Article Biochemistry & Molecular Biology

A novel mechanism of irinotecan targeting MDM2 and Bcl-xL

Boah Lee, Jeong A. Min, Abdullateef Nashed, Sang-Ok Lee, Jae Cheal Yoo, Seung-Wook Chi, Gwan-Su Yi

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS (2019)

Article Biochemistry & Molecular Biology

Solution structure of MUL1-RING domain and its interaction with p53 transactivation domain

Min-Sung Lee, Sang-Ok Lee, Mi-Kyung Lee, Gwan-Su Yi, Chong-Kil Lee, Kyoung-Seok Ryu, Seung-Wook Chi

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS (2019)

Article Biochemical Research Methods

Unsupervised inference of implicit biomedical events using context triggers

Jin-Woo Chung, Wonsuk Yang, Jong C. Park

BMC BIOINFORMATICS (2020)

Article Biochemistry & Molecular Biology

Development and Validation of Tumor Immunogenicity Based Gene Signature for Skin Cancer Risk Stratification

Maryam Yavartanoo, Gwan-Su Yi

Summary: Melanoma is a highly aggressive type of skin cancer with significant heterogeneity in overall survival. Current TNM staging is inadequate for accurate survival prediction, particularly for melanoma patients, highlighting the need for reliable prognosis biomarkers. A gene signature was constructed to stratify melanoma risk and identify the Wnt/beta-catenin activation pathway as a primary risk factor for low tumor immunity. The gene signature improved overall survival prediction compared to standard clinicopathological features, providing valuable biomarkers for better clinical decision making.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

Article Oncology

Development of Gene Expression-Based Random Forest Model for Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer

Seongyong Park, Gwansu Yi

Summary: This study developed a random forest model based on 86 genes to predict the response of patients with triple negative breast cancer to neoadjuvant chemotherapy. The model showed high sensitivity and specificity and could effectively explain the patients' recurrence-free survival.

CANCERS (2022)

Article Biochemistry & Molecular Biology

Trifluoperazine and Its Analog Suppressed the Tumorigenicity of Non-Small Cell Lung Cancer Cell; Applicability of Antipsychotic Drugs to Lung Cancer Treatment

Joo Yeon Jeong, Haangik Park, Hong Yoo, Eun-Jin Kim, Borami Jeon, Jong Deog Lee, Dawon Kang, Changjoon Justin Lee, Sun Ha Paek, Eun Joo Roh, Gwan-Su Yi, Sang Soo Kang

Summary: Despite advances in diagnostic and therapeutic technologies, lung cancer remains a major cause of cancer-related deaths worldwide. This study explores the effects of antipsychotic drugs on non-small cell lung cancer (NSCLC). The results suggest that certain antipsychotics, including trifluoperazine (TFP) and its synthetic analogs, can inhibit the proliferation and migration of lung cancer cells, and promote apoptosis. Additionally, a synthetic TFP analog shows even stronger anticancer effects than TFP. This study provides insights into the potential of antipsychotics as a preventive and therapeutic approach for NSCLC.

BIOMEDICINES (2022)

Article Biology

Deficiency of TTYH1 Expression Reduces the Migration and Invasion of U2OS Human Osteosarcoma Cells

Young-Sun Lee, Osung Kwon, Geuk-Rae Jeong, Junyeol Noh, Sung Eun Kim, Gwan-Su Yi, Eun Mi Hwang, Jae-Yong Park

Summary: The expression of TTYH1 is associated with the migration and invasion of osteosarcoma cells. Silencing TTYH1 expression using siRNA significantly inhibits cell migration and invasion, as well as reduces the expression of epithelial-mesenchymal transition markers and matrix metalloproteinases.

LIFE-BASEL (2022)

Article Linguistics

Flexible Acceptance Condition of Generics from a Probabilistic Viewpoint: Towards Formalization of the Semantics of Generics

Soo Hyun Ryu, Wonsuk Yang, Jong C. Park

Summary: This study proposes a way to formalize the semantics of generics by constructing flexible acceptance conditions with comparative probabilities. The findings from a psycholinguistic experiment suggest that cue validity and prevalence indeed play a crucial role in the acceptance conditions of generics, indicating a great potential for the formalization of their semantics.

JOURNAL OF PSYCHOLINGUISTIC RESEARCH (2022)

Article Psychology, Multidisciplinary

Automatic Scoring of Semantic Fluency

Najoung Kim, Jung-Ho Kim, Maria K. Wolters, Sarah E. MacPherson, Jong C. Park

FRONTIERS IN PSYCHOLOGY (2019)

Article Computer Science, Information Systems

Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications

Junseok Park, Seongkuk Park, Gwangmin Kim, Kwangmin Kim, Jaegyun Jung, Sunyong Yoo, Gwan-Su Yi, Doheon Lee

IEEE ACCESS (2020)

暂无数据