Related references
Note: Only part of the references are listed.
Article
Multidisciplinary Sciences
Bruce Schultz et al.
Summary: In addition to vaccines, the World Health Organization recognizes the urgency of developing novel medications to combat COVID-19. A machine learning supported web tool called GuiltyTargets-COVID-19 has been developed to identify new candidate drug targets. This tool can prioritize target candidates, assess their druggability, unravel their connection to disease mechanisms, map ligands to targets, and identify potential side effects. Through analyzing RNA-Seq datasets, GuiltyTargets-COVID-19 has identified 4 potential drug targets for COVID-19. Overall, this web tool will facilitate target identification and drug development for COVID-19 in a cell type and tissue specific manner.
SCIENTIFIC REPORTS
(2023)
Review
Health Care Sciences & Services
Malik Sallam
Summary: ChatGPT is an AI-based conversational large language model with potential applications in health care education, research, and practice. A systematic review was conducted to investigate its utility and limitations. Benefits include improved writing, efficient analysis of datasets, streamlined workflow, and personalized learning, while concerns include ethical issues, plagiarism, limited knowledge, and cybersecurity risks.
Editorial Material
Biotechnology & Applied Microbiology
Dean G. Brown et al.
NATURE REVIEWS DRUG DISCOVERY
(2022)
Article
Environmental Sciences
Roberta Pastorino et al.
Summary: This study found a substantial shift in the age distribution of COVID-19 deaths in countries that rapidly implemented vaccination predominantly among elderly, indicating the population-level effectiveness of COVID-19 vaccination and a favorable evolution of the pandemic towards endemicity with fewer elderly deaths.
ENVIRONMENTAL RESEARCH
(2022)
Article
Biochemistry & Molecular Biology
Giuseppe Floresta et al.
Summary: The recent covid crisis has accelerated the adoption of data analytics and artificial intelligence, leading to remarkable achievements in drug research for COVID-19.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemistry & Molecular Biology
Rahul Singh et al.
Summary: This study investigates the potential of six turmeric derivatives as inhibitors for the coronavirus Nsp15 using computer-based methods. The results show that these compounds have stable interactions and high binding affinity with Nsp15, indicating their potential as modulators for Nsp15 inhibition.
CELL BIOCHEMISTRY AND FUNCTION
(2022)
Article
Biochemistry & Molecular Biology
Davide Gentile et al.
Summary: This paper validates the SARS-CoV-2 spike protein S2 domain as an important target for treating the virus, and identifies several potential small molecules and peptides as fusion inhibitors using in silico methods.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Virology
Yashpal Singh Malik et al.
Summary: The severity of Covid-19 has led to its declaration as a pandemic, with AI and machine learning innovations significantly complementing traditional epidemiological tools. AI model systems have the potential to improve disease spread recognition and outbreak predictions, offering enhanced accuracy in disease diagnosis and drug identification.
REVIEWS IN MEDICAL VIROLOGY
(2021)
Review
Pharmacology & Pharmacy
Chiranjib Chakraborty et al.
Summary: The rapid spread of SARS-CoV-2 globally has highlighted the need for effective treatment options. Drug repurposing of existing medications has become a key strategy in managing COVID-19 patients. Clinical trials conducted across multiple countries have shown promising results in antiviral and immunotherapeutic treatments, indicating the importance of further research in this area.
FRONTIERS IN PHARMACOLOGY
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Amirhosein Toosi et al.
Summary: Artificial intelligence has seen ups and downs, and the current high expectations should not be taken for granted.
Article
Multidisciplinary Sciences
Francesca Grisoni et al.
Summary: Automating the molecular design-make-test-analyze cycle has led to successful generation of potent LXR agonists, confirming the applicability of the proposed framework for automated drug design.
Review
Computer Science, Interdisciplinary Applications
Gihanna Galindez et al.
Summary: Rapid response to unknown pathogens is essential in stopping the spread of diseases like the novel coronavirus, with computational approaches speeding up drug discovery and drug repurposing. Comparing predicted drug candidates to those in clinical trials can better prepare for future outbreaks by connecting computational approaches with experimental studies.
NATURE COMPUTATIONAL SCIENCE
(2021)
Review
Chemistry, Multidisciplinary
Eugene N. Muratov et al.
Summary: COVID-19 has led to a large number of infections and deaths globally, causing severe disruptions to societies and economies. Extensive experimental and computational research efforts have been made to quickly develop diagnostics, vaccines, and drugs to combat the pandemic. Although drug repurposing has not provided rapid and global solutions, known drugs have been used in clinical settings and new clinical candidates are being considered in trials. Truly impactful computational tools that provide testable hypotheses and rapid sharing of research results are crucial for the development of much-needed therapeutics for COVID-19.
CHEMICAL SOCIETY REVIEWS
(2021)
Review
Biotechnology & Applied Microbiology
Petra Schneider et al.
NATURE REVIEWS DRUG DISCOVERY
(2020)
Review
Pharmacology & Pharmacy
Giulia Russo et al.
EXPERT OPINION ON DRUG DISCOVERY
(2020)
Review
Business
Ella Glikson et al.
ACADEMY OF MANAGEMENT ANNALS
(2020)
Review
Multidisciplinary Sciences
Travers Ching et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2018)
