F0514-5148 for COVID-19
c19early.org
COVID-19 Treatment Clinical Evidence
COVID-19 involves the interplay of 400+ viral and host proteins and factors, providing many therapeutic targets.
c19early analyzes 6,000+ studies for 210+ treatments—over 17 million hours of research.
Only three high-profit early treatments are approved in the US.
In reality, many treatments reduce risk,
with 25 low-cost treatments approved across 163 countries.
-
Naso/
oropharyngeal treatment Effective Treatment directly to the primary source of initial infection. -
Healthy lifestyles Protective Exercise, sunlight, a healthy diet, and good sleep all reduce risk.
-
Immune support Effective Vitamins A, C, D, and zinc show reduced risk, as with other viruses.
-
Thermotherapy Effective Methods for increasing internal body temperature, enhancing immune system function.
-
Systemic agents Effective Many systemic agents reduce risk, and may be required when infection progresses.
-
High-profit systemic agents Conditional Effective, but with greater access and cost barriers.
-
Monoclonal antibodies Limited Utility Effective but rarely used—high cost, variant dependence, IV/SC admin.
-
Acetaminophen Harmful Increased risk of severe outcomes and mortality.
-
Remdesivir Harmful Increased mortality with longer followup. Increased kidney and liver injury, cardiac disorders.
F0514-5148 may be beneficial for
COVID-19 according to the study below.
COVID-19 involves the interplay of 400+ viral and host proteins and factors providing many therapeutic targets.
Scientists have proposed 11,000+ potential treatments.
c19early.org analyzes
210+ treatments.
We have not reviewed F0514-5148 in detail.
, Identifying Drug Candidates for COVID-19 with Large-Scale Drug Screening, International Journal of Molecular Sciences, doi:10.3390/ijms24054397
Papain-like protease (PLpro) is critical to COVID-19 infection. Therefore, it is a significant target protein for drug development. We virtually screened a 26,193 compound library against the PLpro of SARS-CoV-2 and identified several drug candidates with convincing binding affinities. The three best compounds all had better estimated binding energy than those of the drug candidates proposed in previous studies. By analyzing the docking results for the drug candidates identified in this and previous studies, we demonstrate that the critical interactions between the compounds and PLpro proposed by the computational approaches are consistent with those proposed by the biological experiments. In addition, the predicted binding energies of the compounds in the dataset showed a similar trend as their IC50 values. The predicted ADME and drug-likeness properties also suggested that these identified compounds can be used for COVID-19 treatment.