BRCAFem: A database for breast cancer research.

Amid extensive breast cancer research, valuable data and findings often remain scattered across published literature, databases and web resources, posing challenges for researchers and practitioners in curating specific datasets, genes and relevant information. Hence, we developed BRCAFem (BReast CAncer of Females), an integrated database for breast cancer research. BRCAFem includes 1220 breast cancer genes, 82 FDA-approved breast cancer prevention and treatment drugs and 33 sequencing and imaging datasets.

An ensemble of bioinformatics and machine learning approaches to identify shared breast cancer biomarkers among diverse populations.

Breast cancer continues to be a prominent cause for substantial loss of life among women globally. Despite established treatment approaches, the rising prevalence of breast cancer is a concerning trend regardless of geographical location. This highlights the need to identify common key genes and explore their biological significance across diverse populations.

A Comprehensive Mini-Review on Lignin-Based Nanomaterials for Food Applications: Systemic Advancement and Future Trends.

The shift to an environmentally friendly material economy requires renewable resource exploration. This shift may depend on lignin valorization. Lignin is an aromatic polymer that makes up one-third of total lingo-cellulosic biomass and is separated into large amounts for biofuel and paper manufacture.

An effective universal protocol for the extraction of fructooligosaccharide from the different agricultural byproducts.

Alternative bio-refinery technologies are required to promote the commercial utilization of plant biomass components. The fructooligosaccharide (FOS) obtained after hydrolysis of the hemicellulose fractions was mainly applied in the pharmaceutical and food industries. Agricultural bi-product is a rich constituent in dietary fibres, which have prebiotic effects on the intestinal microbiota and the host.

Antioxidant activities of novel peptides from Limosilactobacillus reuteri fermented brown rice: A combined in vitro and in silico study.

Oxidative stress is known to cause cell apoptosis, tissue damage, and pathological changes in the body, but antioxidant peptides are renowned radical scavengers. This study investigated the antioxidative and protective effect of six novel peptides obtained after microbial fermentation of brown rice. The selected peptides (MW ≤ 8 KDa), namely AVPYPQ (P1), ILTAV (P2), LGDVIGVP (P3), NPIFDYVLLP (P4), VAPFPEV (P5), and VLPVPK (P6) exhibited strong antioxidant potential against in vitro radicals with IC values for DPPH (5.

Bioinformatics strategies for studying the molecular mechanisms of fungal extracellular vesicles with a focus on infection and immune responses.

Fungal extracellular vesicles (EVs) are released during pathogenesis and are found to be an opportunistic infection in most cases. EVs are immunocompetent with their host and have paved the way for new biomedical approaches to drug delivery and the treatment of complex diseases including cancer. With computing and processing advancements, the rise of bioinformatics tools for the evaluation of various parameters involved in fungal EVs has blossomed.

A review on the application of bioinformatics tools in food microbiome studies.

There is currently a transformed interest toward understanding the impact of fermentation on functional food development due to growing consumer interest on modified health benefits of sustainable foods. In this review, we attempt to summarize recent findings regarding the impact of Next-generation sequencing and other bioinformatics methods in the food microbiome and use prediction software to understand the critical role of microbes in producing fermented foods. Traditionally, fermentation methods and starter culture development were considered conventional methods needing optimization to eliminate errors in technique and were influenced by technical knowledge of fermentation.

Identification of marker genes in Alzheimer's disease using a machine-learning model.

Alzheimer's Disease (AD) is one of the most common causes of dementia, mostly affecting the elderly population. Currently, there is no proper diagnostic tool or method available for the detection of AD. The present study used two distinct data sets of AD genes, which could be potential biomarkers in the diagnosis.

In Vitro and In Silico Screening and Characterization of Antimicrobial Napin Bioactive Protein in and .

The study aimed to investigate the antibacterial activity of Mustard () and Moringa () leaf extracts and coagulant protein for their potential application in water treatment. Bacterial cell aggregation and growth kinetics studies were employed for thirteen bacterial strains with different concentrations of leaf extracts and coagulant protein. leaf extract (MOS) and coagulant protein showed cell aggregation against ten bacterial strains, whereas leaf extract alone showed growth inhibition of five bacterial strains for up to 6 h and five bacterial strains for up to 3 h.

Towards the early detection of ductal carcinoma (a common type of breast cancer) using biomarkers linked to the PPAR(γ) signaling pathway.

Breast cancer is a leading cause of morbidity and mortality among women comprising about 12% females worldwide. The underlying alteration in the gene expression, molecular mechanism and metabolic pathways responsible for incidence and progression of breast tumorigenesis are yet not completely understood. In the present study, potential biomarker genes involved in the early progression for early diagnosis of breast cancer has been detailed.