AIMC Topic: SARS-CoV-2

Clear Filters Showing 31 to 40 of 1734 articles

RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking.

Journal of chemical information and modeling
Accurate identification of druggable pockets and their features is essential for structure-based drug design and effective downstream docking. Here, we present RAPID-Net, a deep learning-based algorithm designed for accurate prediction of binding poc...

Design of Carbon Nanotube Inhibitors for Main Proteinase of SARS-CoV-2: A Combined Deep Learning and Molecular Dynamics Simulation Study.

The journal of physical chemistry. B
The rapid development of machine learning (ML) and deep learning (DL) methods provides new opportunities for innovative drug discovery. While these techniques are widely used in docking organic molecules (drugs) with protein, an evaluation of the per...

Innovations and challenges in vaccine development: Lessons from the SARS-CoV-2 pandemic and prospects.

Biochemical and biophysical research communications
Vaccination stands as one of the most significant achievements in public health, dramatically reducing the incidence of infectious diseases worldwide. The COVID-19 pandemic has catalyzed revolutionary advancements in vaccinology, particularly through...

ResNet-EfficientNet powered framework for high-precision cough-based classification of infectious diseases.

Scientific reports
COVID-19 is a extremely contagious disease triggered by the SARS-CoV-2 virus which mostly affects the human breathing system. Furthermore, the COVID-19 was emerged in late 2019 and escalated rapidly into a global pandemic which impacted health and ec...

Deep generative models design mRNA sequences with enhanced translational capacity and stability.

Science (New York, N.Y.)
Despite the success of messenger RNA (mRNA) COVID-19 vaccines, extending this modality to more diseases necessitates substantial enhancements. We present GEMORNA, a generative RNA model that uses transformer architectures tailored for mRNA coding seq...

Fuel-Free Rolosense: Viral Sensing Using Diffusional Particle Tracking.

ACS sensors
High-sensitivity viral diagnostics typically use PCR to detect and amplify viral nucleic acids which requires fluorescence reporters, enzymatic amplification, specialized equipment and can be time-consuming. In this work, we describe fuel-free (FF) R...

Designing for Patient-Centered Care and Equity in Virtual Hospital-at-Home Models: Quality Improvement Initiative Using Experience-Based Co-Design.

JMIR human factors
BACKGROUND: The rapid expansion of virtual care during COVID-19 accelerated the development of virtual hospital-at-home models, which deliver hospital-level care in patients' homes through remote monitoring, virtual communication, and in-person suppo...

Delineating SARS-CoV-2 spike protein and antibodies interaction interfaces via siamese neural networks: A geometric and image-based analysis.

PloS one
The analysis of molecular interactions between antigens and antibodies is crucial for understanding the immunological mechanisms underlying the immune response and for developing effective therapies against various diseases. In this context, the abil...

Mapping inequities in global vaccine sentiment research.

BMJ global health
INTRODUCTION: Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health research is...

Artificial intelligence for arterial blood gas interpretation.

Clinica chimica acta; international journal of clinical chemistry
Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering critical insights into a patient's respiratory and metabolic status. However, interpreting ABG results can be complex and time-sensitive, necessitating ...