MIKB


34900127	MIKB: A manually curated and comprehensive knowledge base for myocardial infarction. [PMID: 34900127] Chaoying Zhan, Yingbo Zhang, Xingyun Liu, Rongrong Wu, Ke Zhang, Wenjing Shi, Li Shen, Ke Shen, Xuemeng Fan, Fei Ye, Bairong Shen Abstract Myocardial infarction knowledge base (MIKB; http://www.sysbio.org.cn/mikb/; latest update: December 31, 2020) is an open-access and manually curated database dedicated to integrating knowledge about MI to improve the efficiency of translational MI research. MIKB is an updated and expanded version of our previous MI Risk Knowledge Base (MIRKB), which integrated MI-related risk factors and risk models for providing help in risk assessment or diagnostic prediction of MI. The updated MIRKB includes 9701 records with 2054 single factors, 209 combined factors, 243 risk models, 37 MI subtypes and 3406 interactions between single factors and MIs collected from 4817 research articles. The expanded functional module, MIGD, is a database including not only MI associated genetic variants, but also the other multi-omics factors and the annotations for their functional alterations. The goal of MIGD is to provide a multi-omics level understanding of the molecular pathogenesis of MI. MIGD includes 1782 omics factors, 28 MI subtypes and 2347 omics factor-MI interactions as well as 1253 genes and 6 chromosomal alterations collected from 2647 research articles. The functions of MI associated genes and their interaction with drugs were analyzed. MIKB will be continuously updated and optimized to provide precision and comprehensive knowledge for the study of heterogeneous and personalized MI. Comput Struct Biotechnol J. 2021:19() \| 2 Citations (from Europe PMC, 2025-03-29)
31688939	MIRKB: a myocardial infarction risk knowledge base. [PMID: 31688939] Zhan C, Shi M, Wu R, He H, Liu X, Shen B. Abstract Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifestyle factors, environmental factors, psychosocial factors, genetic factors, etc. Identifying individuals with an increased risk of MI is urgent and a major challenge for improving prevention. The MI risk knowledge base (MIRKB) is developed for facilitating MI research and prevention. The goal of MIRKB is to collect risk factors and models related to MI to increase the efficiency of systems biological level understanding of the disease. MIRKB contains 8436 entries collected from 4366 articles in PubMed before 5 July 2019 with 7902 entries for 1847 single factors, 195 entries for 157 combined factors and 339 entries for 174 risk models. The single factors are classified into the following five categories based on their characteristics: molecular factor (2356 entries, 649 factors), imaging (821 entries, 252 factors), physiological factor (1566 entries, 219 factors), clinical factor (2523 entries, 561 factors), environmental factor (46 entries, 26 factors), lifestyle factor (306 entries, 65 factors) and psychosocial factor (284 entries, 75 factors). MIRKB will be helpful to the future systems level unraveling of the complex mechanism of MI genesis and progression. Database (Oxford). 2019:2019() \| 9 Citations (from Europe PMC, 2025-03-29)

MIKB: A manually curated and comprehensive knowledge base for myocardial infarction. [PMID: 34900127]

Chaoying Zhan, Yingbo Zhang, Xingyun Liu, Rongrong Wu, Ke Zhang, Wenjing Shi, Li Shen, Ke Shen, Xuemeng Fan, Fei Ye, Bairong Shen

Abstract

Myocardial infarction knowledge base (MIKB; http://www.sysbio.org.cn/mikb/; latest update: December 31, 2020) is an open-access and manually curated database dedicated to integrating knowledge about MI to improve the efficiency of translational MI research. MIKB is an updated and expanded version of our previous MI Risk Knowledge Base (MIRKB), which integrated MI-related risk factors and risk models for providing help in risk assessment or diagnostic prediction of MI. The updated MIRKB includes 9701 records with 2054 single factors, 209 combined factors, 243 risk models, 37 MI subtypes and 3406 interactions between single factors and MIs collected from 4817 research articles. The expanded functional module, MIGD, is a database including not only MI associated genetic variants, but also the other multi-omics factors and the annotations for their functional alterations. The goal of MIGD is to provide a multi-omics level understanding of the molecular pathogenesis of MI. MIGD includes 1782 omics factors, 28 MI subtypes and 2347 omics factor-MI interactions as well as 1253 genes and 6 chromosomal alterations collected from 2647 research articles. The functions of MI associated genes and their interaction with drugs were analyzed. MIKB will be continuously updated and optimized to provide precision and comprehensive knowledge for the study of heterogeneous and personalized MI.

Comput Struct Biotechnol J. 2021:19() | 2 Citations (from Europe PMC, 2025-03-29)

MIRKB: a myocardial infarction risk knowledge base. [PMID: 31688939]

Zhan C, Shi M, Wu R, He H, Liu X, Shen B.

Abstract

Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifestyle factors, environmental factors, psychosocial factors, genetic factors, etc. Identifying individuals with an increased risk of MI is urgent and a major challenge for improving prevention. The MI risk knowledge base (MIRKB) is developed for facilitating MI research and prevention. The goal of MIRKB is to collect risk factors and models related to MI to increase the efficiency of systems biological level understanding of the disease. MIRKB contains 8436 entries collected from 4366 articles in PubMed before 5 July 2019 with 7902 entries for 1847 single factors, 195 entries for 157 combined factors and 339 entries for 174 risk models. The single factors are classified into the following five categories based on their characteristics: molecular factor (2356 entries, 649 factors), imaging (821 entries, 252 factors), physiological factor (1566 entries, 219 factors), clinical factor (2523 entries, 561 factors), environmental factor (46 entries, 26 factors), lifestyle factor (306 entries, 65 factors) and psychosocial factor (284 entries, 75 factors). MIRKB will be helpful to the future systems level unraveling of the complex mechanism of MI genesis and progression.

Database (Oxford). 2019:2019() | 9 Citations (from Europe PMC, 2025-03-29)

URL:	http://www.sysbio.org.cn/mikb
Full name:	Myocardial Infarction Knowledge Base
Description:	MIKB is an updated open-access database based on MIRKB that collected knowledge about MI (Myocardial Infarction) to improve the efficiency of MI research. It provides a systematic perspective to better understand the occurrence and development of MI, and provides help for the diagnosis, prognosis and treatment of MI.
Year founded:	2019
Last update:	2021
Version:	v2.0
Accessibility:	Accessible
Country/Region:	China

Data type:	DNA
Data object:	Animal
Database category:	Health and medicine Literature
Major species:	Homo sapiens
Keywords:	Myocardial infarction risk model

University/Institution:	Sichuan University
Address:	Sichuan Univ, West China Hosp, Frontiers Sci Ctr Dis Related Mol Network, Inst Syst Genet, Chengdu 610212, Sichuan, Peoples R China
City:	Sichuan University
Province/State:	Sichuan University
Country/Region:	China
Contact name (PI/Team):	Shen, Bairong
Contact email (PI/Helpdesk):	bairong.shen@scu.edu.cn

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Database Commons a catalog of worldwide biological databases