Designing improved active peptides for therapeutic approaches against infectious diseases

B Gomes, MT Augusto, MR Felício, A Hollmann… - Biotechnology …, 2018 - Elsevier
Infectious diseases are one of the main causes of human morbidity and mortality. In the last
few decades, pathogenic microorganisms' resistance to conventional drugs has been …

In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein–Protein Interactions

ZS Hashemi, M Zarei, MK Fath, M Ganji… - Frontiers in Molecular …, 2021 - frontiersin.org
Large contact surfaces of protein–protein interactions (PPIs) remain to be an ongoing issue
in the discovery and design of small molecule modulators. Peptides are intrinsically capable …

Prediction of antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy

S Akbar, F Ali, M Hayat, A Ahmad, S Khan… - … and Intelligent Laboratory …, 2022 - Elsevier
Viral diseases are a major health concern in the last few years. Antiviral peptides (AVPs)
belong to a type of antimicrobial peptides (AMPs) that have the high potential to defend the …

[HTML][HTML] Predicted therapeutic targets for COVID-19 disease by inhibiting SARS-CoV-2 and its related receptors

N Balmeh, S Mahmoudi, N Mohammadi… - Informatics in medicine …, 2020 - Elsevier
The SARS-CoV-2 causes severe pulmonary infectious disease with an exponential spread-
ability. In the present research, we have tried to look into the molecular cause of disease …

aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance

A Rajput, A Thakur, S Sharma… - Nucleic acids research, 2018 - academic.oup.com
Biofilms play an important role in the antibiotic drug resistance, which is threatening public
health globally. Almost, all microbes mimic multicellular lifestyle to form biofilm by …

Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance

AS Chowdhury, SM Reehl, K Kehn-Hall, B Bishop… - Scientific reports, 2020 - nature.com
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 …

Recent advances in machine learning-based models for prediction of antiviral peptides

F Ali, H Kumar, W Alghamdi, FA Kateb… - Archives of Computational …, 2023 - Springer
Viruses have killed and infected millions of people across the world. It causes several
chronic diseases like COVID-19, HIV, and hepatitis. To cope with such diseases and virus …

[PDF][PDF] Monosaccharide derivatives: synthesis, antimicrobial, pass, antiviral and molecular docking studies against SARS-COV-2 Mpro inhibitors

F Yasmin, MR Amin, MA Hosen… - Cellul Chem …, 2021 - r.bangladeshhealthwatch.org
Several carbohydrate-based drugs are currently being used to treat a number of diseases in
humans worldwide. Thus, our research group has focused on the synthesis of new methyl α …

In silico approach for potential antimicrobial agents through antiviral, molecular docking, molecular dynamics, pharmacokinetic and bioactivity predictions of …

SMA Kawsar, MA Hosen, Y El Bakri… - Arab Journal of Basic …, 2022 - Taylor & Francis
Carbohydrates derivatives played an important and vital role in a large part to design new
potential drug against various pathogens, in medicinal chemistry. Also, monosaccharide …

[HTML][HTML] Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning

A Rajput, A Thakur, A Mukhopadhyay, S Kamboj… - Computational and …, 2021 - Elsevier
The world is facing the COVID-19 pandemic caused by Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2). Likewise, other viruses of the Coronaviridae family were …