[HTML][HTML] Peptide and peptide-based inhibitors of SARS-CoV-2 entry
To date, no effective vaccines or therapies are available against the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), the causative pandemic agent of the coronavirus …
syndrome coronavirus 2 (SARS-CoV-2), the causative pandemic agent of the coronavirus …
Review and perspective on bioinformatics tools using machine learning and deep learning for predicting antiviral peptides
Viruses constitute a constant threat to global health and have caused millions of human and
animal deaths throughout human history. Despite advances in the discovery of antiviral …
animal deaths throughout human history. Despite advances in the discovery of antiviral …
Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance
The emergence of viral epidemics throughout the world is of concern due to the scarcity of
available effective antiviral therapeutics. The discovery of new antiviral therapies is …
available effective antiviral therapeutics. The discovery of new antiviral therapies is …
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches
Antiviral peptide (AVP) is a kind of antimicrobial peptide (AMP) that has the potential ability
to fight against virus infection. Machine learning-based prediction with a computational …
to fight against virus infection. Machine learning-based prediction with a computational …
Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking …
Background Viral infections have been the main health issue in the last decade. Antiviral
peptides (AVPs) are a subclass of antimicrobial peptides (AMPs) with substantial potential to …
peptides (AVPs) are a subclass of antimicrobial peptides (AMPs) with substantial potential to …
A separable temporal convolutional networks based deep learning technique for discovering antiviral medicines
An alarming number of fatalities caused by the COVID-19 pandemic has forced the scientific
community to accelerate the process of therapeutic drug discovery. In this regard, the …
community to accelerate the process of therapeutic drug discovery. In this regard, the …
Accelerating the discovery of anticancer peptides through deep forest architecture with deep graphical representation
Cancer is one of the leading diseases threatening human life and health worldwide. Peptide-
based therapies have attracted much attention in recent years. Therefore, the precise …
based therapies have attracted much attention in recent years. Therefore, the precise …
[PDF][PDF] Fatimawali
TE Tallei, SG Tumilaar, NJ Niode - Kepel, BJ, 2021 - academia.edu
Before entering the cell, the SARS-CoV-2 spike glycoprotein receptor-binding domain (RBD)
binds to the human angiotensin-converting enzyme 2 (hACE2) receptor. Hence, this RBD is …
binds to the human angiotensin-converting enzyme 2 (hACE2) receptor. Hence, this RBD is …
D eepafp: an effective computational framework for identifying antifungal peptides based on deep learning
Fungal infections have become a significant global health issue, affecting millions
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …
[HTML][HTML] Potential chimeric peptides to block the SARS-CoV-2 spike receptor-binding domain
Background: There are no known medicines or vaccines to control the COVID-19 pandemic
caused by SARS-CoV-2 (nCoV). Antiviral peptides are superior to conventional drugs and …
caused by SARS-CoV-2 (nCoV). Antiviral peptides are superior to conventional drugs and …