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Metagenomics is a rapidly expanding field that uses next-generation sequencing technology to analyze the genetic makeup of environmental samples. However, accurately identifying the organisms in a metagenomic sample can be complex, and ...

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• The study evaluated a large set of compressors for taxonomic identification in metagenomics.
• The Normalized Compression (NC) measure was used to evaluate the complexity of the data and the effectiveness of the compressors.
• It found ...

Alzheimer's disease (AD) is a neurodegenerative condition for which there is currently no available medication that can stop its progression. Previous studies suggest that mild cognitive impairment (MCI) is a phase that precedes the ...

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• Machine learning identified key molecules associated with Alzheimer (AD) and cognition (MCI).
• Mental state test, language score and oleamide differentiates AD, MCI and controls.
• In-vitro microglia experiments show oleamide to be ...

Atrial fibrillation (AF) is a common cardiac arrhythmia, with stroke being its most detrimental comorbidity. The exact mechanism of AF related stroke (AFS) still needs to be explored. In this study, we integrated proteomics and metabolomics ...

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• 53 proteins showed differential expression in AFS compared to AF.
• 114 metabolites showed differential expression in AFS compared to AF.
• Integrated analysis revealed a strong correlation between DEPs and DEMs.
• 12 biomarkers were ...

In 2016, the UK had 4.5 million people with diabetes, predominantly Type-2 Diabetes Mellitus (T2DM). The NHS allocates £10 billion (9% of its budget) to manage diabetes. Metformin is the primary treatment for T2DM, but 35% of patients ...

• A detailed version of the methods section is present in the supplementary information.
• Age gap (8 years) between control and treatment groups may impact the ML model; future research should address this.
• This work innovates with ...

Biological big data are a massive amount of data generated from multi-omics experiments, such as genomics, transcriptomics, proteomics, metabolomics, phenomics, glycomics, epigenomics, and other omics. These data are used to study biological ...

During the last decade, genomic, transcriptomic, proteomic, metabolomic, and other omics datasets have been generated for a wide range of marine organisms, and even more are still on the way. Marine organisms possess unique and diverse ...

• Recent progress in the use and integration of “multi-omics” techniques to identify novel marine metabolites.
• The multi-omics data integration tools developed for analyzing “multi-omics” data.
• The requirement of ML for analyzing “...

Glioma is a family of brain tumors with three main types exhibiting different progressions, which lack effective therapeutic options and specific molecular biomarkers. In this work, we propose a pipeline for multi-omics integrated analysis aimed ...

B-Cell epitopes (BCEs) can identify and bind with receptor proteins (antigens) to initiate an immune response against pathogens. Understanding antigen-antibody binding interactions has many applications in biotechnology and biomedicine, including ...

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• B-Cell epitopes (BCEs) initiate an immune response.
• Identifying BCEs experimentally is time-consuming.
• This study developed a more reliable model for predicting BCEs.
• The proposed model uses CNN-based deep learning approach.

Guidance for preventing myocardial infarction and ischemic stroke by tailoring treatment for individual patients with atherosclerosis is an unmet need. Such development may be possible with computational modeling. ...

• Distinct disease phenotypes exist in CVD that would be treated differently but means to steer patients are needed.

The DDDAS2022 Conference featured five keynote presentations, and an invited talk, which addressed important science and technology topics, and provided examples of advances in capabilities enabled or supported by DDDAS-based methods. The ...

Breast cancer is a highly diverse disease. With the state-of-the-art methods of molecular studies, novel subgroups of breast cancer can be revealed. The proper identification of subtypes is crucial for treatment choice. Hence, further ...

There is increasing interest in the development of tools for investigating the protein ligand space. Understanding the underlying mechanisms of G protein-coupled receptors (GPCR) in the ligand-binding process is of particular interest due to their ...$\mathrm{}$

Mass spectrometry is one of the widely used techniques in proteome studies, enabling, inter alia, the identification of proteins present in biological samples based on the analysis of unique peptides originating from the proteins of interest. It ...

A novel coronavirus (SARS-CoV-2) has devastated the globe as a pandemic that has killed millions of people. Widespread vaccination is still uncertain, so many scientific efforts have been directed toward discovering antiviral ...

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• Gathered a large 3CLpro cleavage dataset.
• Optimized multiple machine learning (...

• We present a theoretical framework that can be used for analyzing, and quantifying the performance of parallel algorithms designed for MS based omics data.
• We prove the lower communication bounds for the existing parallel algorithms.

Mass spectrometry (MS) based omics data analysis require significant time and resources. To date, few parallel algorithms have been proposed for deducing peptides from mass spectrometry-based data. However, these parallel algorithms were designed,...

The occurrence and development of caries is a complex process affected by multiple factor.

The present study was envisaged to evaluate the plaque fluid in caries free ...

Venous thromboembolism (VTE) is the third most common cardiovascular disease, affecting $\sim$1,000,000 individuals each year in Europe. VTE is characterized by an annual recurrent rate of $\sim$6%, and $\sim$30% of patients with unprovoked VTE will face a ...$$

The differential expression of proteins in nasopharyngeal carcinoma (NPC) and nasopharyngeal inflammation were analyzed by using surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS). These proteins were ...

Previous studies have shown that Sophorae Tonkinensis radix et rhizome (ST) can be used to treat some lung diseases. However, the therapeutic potentials, therapeutic advantages, mechanism of action, and material basis of ST treatment ...

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• Biolabel-led research pattern integratively analyzes the therapeutic potentials, therapeutic advantages, mechanism of action, and material basis of ST in the ...

Proteomics holds huge innovations for healthcare such as personalized medicine to tremendously increase people’s health. Due to its rapid growth, its multidimensional data sets and the related need for the latest technologies and huge computing ...