Dataset Information

Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises.

ABSTRACT: There is an urgent need to identify new therapies that prevent SARS-CoV-2 infection and improve the outcome of COVID-19 patients. This pandemic has thus spurred intensive research in most scientific areas and in a short period of time, several vaccines have been developed. But, while the race to find vaccines for COVID-19 has dominated the headlines, other types of therapeutic agents are being developed. In this mini-review, we report several databases and online tools that could assist the discovery of anti-SARS-CoV-2 small chemical compounds and peptides. We then give examples of studies that combined in silico and in vitro screening, either for drug repositioning purposes or to search for novel bioactive compounds. Finally, we question the overall lack of discussion and plan observed in academic research in many countries during this crisis and suggest that there is room for improvement.

SUBMITTER: Singh N

PROVIDER: S-EPMC8074526 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises.

Singh Natesh N Villoutreix Bruno O BO

Computational and structural biotechnology journal 20210426

There is an urgent need to identify new therapies that prevent SARS-CoV-2 infection and improve the outcome of COVID-19 patients. This pandemic has thus spurred intensive research in most scientific areas and in a short period of time, several vaccines have been developed. But, while the race to find vaccines for COVID-19 has dominated the headlines, other types of therapeutic agents are being developed. In this mini-review, we report several databases and online tools that could assist the disc ...[more]

PMID: 33936562

Similar Datasets

Project description:Background: The COVID-19 pandemic has placed considerable pressure on families, testing the quality of relationships and the strength of social support within and beyond the family network. However, little is known about the pre-pandemic factors that predict family relational resilience and social functioning during times of natural disaster or global crisis. Here we use data from one of Australia's longest running studies of social and emotional development to examine the nature and timing of possible relational and social support intervention aimed at preparing families for future adversities. Methods: Data were from the Australian Temperament Project Generation 3 (ATPG3) Study, a population representative three generation cohort study of families established in 1983. A subset of Generation 2 parents completed a COVID-19 specific survey in May-September 2020 (502 parents of 871 children; 60% mothers; 37-38 years). These participants had completed the Quality of Relationships Inventory to assess social support during young adulthood, at 23-24 years (2006) and 27-28 years (2010), before next generation conception. Participants had also completed the Maternity Social Support Scale 1 year postpartum for each child born across the ATPG3 assessment period (2012-2019). In 2020, during the height of the Australian lockdowns, participants rated the quality of their relationships with their partners, children and broader family and friends, in addition to social support within and extended beyond their family. Results: Pre-pandemic partner support was associated with partner relationship quality during the pandemic (β = 0.22). Pre-pandemic support from friends was associated with relationship quality with other family and friends during the pandemic (β = 0.12 - 0.18). Pre-pandemic support (from partner, family and friends) was consistently associated with social support within families during the pandemic (β = 0.11 - 0.21). Pre-pandemic support from friends was also associated with family support extended to others within their local community during the pandemic (β = 0.12 - 0.13). Conclusions: Strengthening supportive relationships during major life transitions, prior to the start of family life and in early parenthood, may have long-term and intergenerational benefits years into the future for both families and communities. This may promote resilience during future crises and other more normative stressful life events.

Dataset Information

Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises.

Publications

Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets