Current and prospective computational approaches and challenges for developing COVID-19 vaccines
Abstract SARS-CoV-2, which causes COVID-19, was first identified in humans in late 2019
and is a coronavirus which is zoonotic in origin. As it spread around the world there has …
and is a coronavirus which is zoonotic in origin. As it spread around the world there has …
Traditional and computational screening of non-toxic peptides and approaches to improving selectivity
Peptides have positively impacted the pharmaceutical industry as drugs, biomarkers, or
diagnostic tools of high therapeutic value. However, only a handful have progressed to the …
diagnostic tools of high therapeutic value. However, only a handful have progressed to the …
Machine learning-guided discovery and design of non-hemolytic peptides
F Plisson, O Ramírez-Sánchez… - Scientific reports, 2020 - nature.com
Reducing hurdles to clinical trials without compromising the therapeutic promises of peptide
candidates becomes an essential step in peptide-based drug design. Machine-learning …
candidates becomes an essential step in peptide-based drug design. Machine-learning …
HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks
PB Timmons, CM Hewage - Scientific reports, 2020 - nature.com
The growing prevalence of resistance to antibiotics motivates the search for new
antibacterial agents. Antimicrobial peptides are a diverse class of well-studied membrane …
antibacterial agents. Antimicrobial peptides are a diverse class of well-studied membrane …
Pfeature: A tool for computing wide range of protein features and building prediction models
In the last three decades, a wide range of protein features have been discovered to annotate
a protein. Numerous attempts have been made to integrate these features in a software …
a protein. Numerous attempts have been made to integrate these features in a software …
B3pred: A random-forest-based method for predicting and designing blood–brain barrier penetrating peptides
The blood–brain barrier is a major obstacle in treating brain-related disorders, as it does not
allow the delivery of drugs into the brain. We developed a method for predicting blood–brain …
allow the delivery of drugs into the brain. We developed a method for predicting blood–brain …
AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning
Background Deep learning's automatic feature extraction has proven to give superior
performance in many sequence classification tasks. However, deep learning models …
performance in many sequence classification tasks. However, deep learning models …
Antibacterial and antiviral properties of Chenopodin-derived synthetic peptides
Antimicrobial peptides have been developed based on plant-derived molecular scaffolds for
the treatment of infectious diseases. Chenopodin is an abundant seed storage protein in …
the treatment of infectious diseases. Chenopodin is an abundant seed storage protein in …
Multiquery Similarity Searching Models: An Alternative Approach for Predicting Hemolytic Activity from Peptide Sequence
K Castillo-Mendieta, G Agüero-Chapin… - Chemical Research …, 2024 - ACS Publications
The desirable pharmacological properties and a broad number of therapeutic activities have
made peptides promising drugs over small organic molecules and antibody drugs …
made peptides promising drugs over small organic molecules and antibody drugs …
Exploring the feasibility of bacteriocins EntK1 and EntEJ97s in treatment of systemic vancomycin resistant enterococci infections in mice
Abstract Aims Enterocins K1 and EJ97 have specific antimicrobial activity against
Enterococcus faecium and Enterococcus faecalis, respectively. The aim of this study was to …
Enterococcus faecium and Enterococcus faecalis, respectively. The aim of this study was to …