CHDGKB: a knowledgebase for systematic understanding of genetic variations associated with non-syndromic congenital heart disease

Yang, Lan; Yang, Yang; Liu, Xingyun; Yongquan, Chen; Chen, Yalan; Lin, Yuxin; Sun, Yan; Shen, Bairong

doi:10.1093/database/baaa048

Cited by 8 publications

(1 citation statement)

References 53 publications

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“…(2) MIGD is a genetic database with multi-omics data and provides researchers a systematic perspective on the molecular mechanism of MI. Most of the genetic databases only contain genetic variation data [60] , [61] , [62] , but MIGD includes also multi-omics data, gene-drug interactions, GO terms and KEGG pathways for MI studies. (3) MIGD provides users with a network visualization tool to show the gene-omics factor-MI interactions and gene-drug interactions.…”

Section: Discussionmentioning

confidence: 99%

MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

Zhan

Zhang

Liu

et al. 2021

Computational and Structural Biotechnology Journal

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Section: Discussionmentioning

confidence: 99%

MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

Zhan

Zhang

Liu

et al. 2021

Computational and Structural Biotechnology Journal

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Nanotechnology Responses to COVID‐19

Ruiz-Hitzky

Darder

Wicklein

et al. 2020

Adv Healthcare Materials

144

134

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Dedicated to Dr. André Van Meerbeeck and to all the direct and indirect victims of the COVID-19 pandemic Researchers, engineers, and medical doctors are made aware of the severity of the COVID-19 infection and act quickly against the coronavirus SARS-CoV-2 using a large variety of tools. In this review, a panoply of nanoscience and nanotechnology approaches show how these disciplines can help the medical, technical, and scientific communities to fight the pandemic, highlighting the development of nanomaterials for detection, sanitation, therapies, and vaccines. SARS-CoV-2, which can be regarded as a functional core-shell nanoparticle (NP), can interact with diverse materials in its vicinity and remains attached for variable times while preserving its bioactivity. These studies are critical for the appropriate use of controlled disinfection systems. Other nanotechnological approaches are also decisive for the development of improved novel testing and diagnosis kits of coronavirus that are urgently required. Therapeutics are based on nanotechnology strategies as well and focus on antiviral drug design and on new nanoarchitectured vaccines. A brief overview on patented work is presented that emphasizes nanotechnology applied to coronaviruses. Finally, some comments are made on patents of the initial technological responses to COVID-19 that have already been put in practice.

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An update on the CHDGKB for the systematic understanding of risk factors associated with non-syndromic congenital heart disease

Yang

Liu

Chen

et al. 2021

Computational and Structural Biotechnology Journal

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The Congenital Heart Disease Genetic Knowledge Base (CHDGKB) was established in 2020 to provide comprehensive knowledge about the genetics and pathogenesis of non-syndromic CHD (NS-CHD). In addition to the genetic causes of NS-CHD, environmental factors such as maternal drug use and gene-environment interactions can also lead to CHD. There is a need to integrate this information into a platform for clinicians and researchers to better understand the overall risk factors associated with NS-CHD. The updated CHDGKB contains the genetic and non-genetic risk factors from over 4200 records from PubMed that was manually curated to include the information associated with NS-CHD. The current version of CHDGKB, named CHD-RF-KB (KnowledgeBase for non-syndromic Congenital Heart Disease-associated Risk Factors), is an important tool that allows users to evaluate the recurrence risk and prognosis of NS-CHD, to guide treatment and highlight the precautions of NS-CHD. In this update, we performed extensive functional analyses of the genetic and non-genetic risk information in CHD-RF-KB. These data can be used to systematically understand the heterogeneous relationship between risk factors and NS-CHD phenotypes.

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CHDGKB: a knowledgebase for systematic understanding of genetic variations associated with non-syndromic congenital heart disease

Cited by 8 publications

References 53 publications

MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

Nanotechnology Responses to COVID‐19

An update on the CHDGKB for the systematic understanding of risk factors associated with non-syndromic congenital heart disease

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