☆ 4.6 Review

Covid-19 and Artificial Intelligence: Genome sequencing, drug development and vaccine discovery

JOURNAL OF INFECTION AND PUBLIC HEALTH (2022)

Related references

Note: Only part of the references are listed.

Article Biochemistry & Molecular Biology

In silico approach to design a multi-epitopic vaccine candidate targeting the non-mutational immunogenic regions in envelope protein and surface glycoprotein of SARS-CoV-2

M. Susithra Priyadarshni et al.

Summary: This study utilized immunoinformatics approaches to analyze mutations in the envelope protein and glycoprotein of the novel coronavirus, identifying conserved regions and potential T-cell and B-cell epitopes for vaccine design. Molecular docking analysis and 3D structure prediction confirmed effective binding of the multi-epitope vaccine candidates with TLR receptors. Overall, this bioinformatics approach provides proof of concept for the design of a conserved epitopic vaccine against SARS-CoV-2.

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2022)

Add to Collection

Article Multidisciplinary Sciences

Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning

Alejandro Lopez-Rincon et al.

Summary: This study combines deep learning and explainable artificial intelligence techniques to identify representative genomic sequences in SARS-CoV-2. The discovered sequences have been validated to effectively differentiate SARS-CoV-2 from other virus strains, providing a promising primer design method for diagnostics.

SCIENTIFIC REPORTS (2021)

Add to Collection

Review Rheumatology

SARS-CoV-2 vaccines and autoimmune diseases amidst the COVID-19 crisis

Tsvetelina Velikova et al.

Summary: The COVID-19 pandemic has posed a challenge even to the most resilient healthcare systems. Vaccination offers hope for ending the pandemic by achieving herd immunity, but there is uncertainty about the safety and effectiveness of the new vaccines for patients with autoimmune inflammatory diseases. High-quality clinical trials are needed to clarify the immunological mechanisms of these vaccines in AIID patients.

RHEUMATOLOGY INTERNATIONAL (2021)

Add to Collection

Review Microbiology

Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19

Gunjan Arora et al.

Summary: This review focuses on the potential of Artificial Intelligence in COVID-19 surveillance, diagnosis, outcome prediction, drug discovery, and vaccine development. AI mimics cognitive capabilities of the human brain through big data and Machine Learning offers promise for solving problems based on experiences gained from curated data. The advances in AI methods have created an unprecedented opportunity for agile surveillance systems during the COVID-19 pandemic.

PATHOGENS (2021)

Add to Collection

Letter Tropical Medicine

Emergence of highly infectious SARS-CoV-2 variants in Bangladesh: the need for systematic genetic surveillance as a public health strategy

Mohammad Mehedi Hasan et al.

Summary: Bangladesh, a low-middle-income country in South Asia, is facing one of its worst public health emergencies due to the COVID-19 pandemic. The increasing number of cases could potentially overwhelm the healthcare system, with non-compliance with social distancing measures and the emergence of variants being key factors. Genomic surveillance programs are urgently needed to identify and monitor these variants, and assess the effectiveness of current vaccines.

TROPICAL MEDICINE AND HEALTH (2021)

Add to Collection

Article Health Care Sciences & Services

Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals

Matthias Klumpp et al.

Summary: The paper presents a comparative approach from nine European hospitals and eleven different use cases to explore the application areas and benefits of hospital AI technologies. By examining these real-life cases, insights are provided for the practical application of AI technologies in healthcare.

HEALTHCARE (2021)

Add to Collection

Article Biochemistry & Molecular Biology

An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19

Yiyue Ge et al.

Summary: A drug repositioning framework was developed to identify CVL218 as a potential treatment for COVID-19, with in vitro assays showing its inhibitory effect on SARS-CoV-2 replication and interaction with viral proteins, as well as suppression of inflammatory cytokines relevant to immunopathology induced by the virus.

SIGNAL TRANSDUCTION AND TARGETED THERAPY (2021)

Add to Collection

Article Mathematical & Computational Biology

Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov

Haiping Zhang et al.

INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES (2020)

Add to Collection

Article Immunology

Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19)

Bo Diao et al.

FRONTIERS IN IMMUNOLOGY (2020)

Add to Collection

Article Cell Biology

Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

Yadi Zhou et al.

CELL DISCOVERY (2020)

Add to Collection

Review Biochemistry & Molecular Biology

COVID19 inhibitors: A prospective therapeutics

Md Jawaid Akhtar

BIOORGANIC CHEMISTRY (2020)

Add to Collection

Article Immunology

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

Edison Ong et al.

FRONTIERS IN IMMUNOLOGY (2020)

Add to Collection

Article Biochemical Research Methods

Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning

Xiangxiang Zeng et al.

JOURNAL OF PROTEOME RESEARCH (2020)

Add to Collection

Review Pharmacology & Pharmacy

Artificial intelligence in drug discovery and development

Debleena Paul et al.

DRUG DISCOVERY TODAY (2020)

Add to Collection

Review Public, Environmental & Occupational Health

Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications

Nahla Khamis Ibrahim

JOURNAL OF INFECTION AND PUBLIC HEALTH (2020)

Add to Collection

Review Health Care Sciences & Services

Artificial Intelligence for COVID-19: Rapid Review

Jiayang Chen et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2020)

Add to Collection

Review Medical Informatics

Artificial intelligence in COVID-19 drug repurposing

Yadi Zhou et al.

LANCET DIGITAL HEALTH (2020)

Add to Collection

Review Primary Health Care

Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review

Maleeha Naseem et al.

JOURNAL OF PRIMARY CARE AND COMMUNITY HEALTH (2020)

Add to Collection

Article Computer Science, Information Systems

DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing

Mohamed Abdel-Basset et al.

IEEE ACCESS (2020)

Add to Collection

Article Biochemistry & Molecular Biology

Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model

Bo Ram Beck et al.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)

Add to Collection

© Peeref 2019-2024. All rights reserved.