Post Translational Modification (PTM) is defined as the alteration of protein sequence upon interaction with different macromolecules after translation process. Glutarylation considered one most important PTMs, which associated a wide range cellular functioning, including metabolism, translation, and specified separate subcellular localizations. During past few years, computational approaches has been proposed to predict sites. However, despite all efforts that have made so far, prediction...

Background: Cheilocostus speciosus (J. Koenig) C. Specht, commonly known as “Crepe‐ginger”, is a traditional plant with edible flowers utilized in folk medicine. This study employs crepe‐ginger to evaluate their role boosting liver immunity, hepatoprotective actions through oxidative stress management. Methods: flower’s methanolic extract (CSF‐ME) was subjected In‐vitro anti‐oxidant effects were evaluated using DPPH and ABTS in‐vivo by catalase (CAT) assays which ameliorated CCl4‐induced...

Advanced technological solutions need to address critical data security problems and interoperability issues that emerge from EHR systems developing in complexity. This document evaluates the combination of Blockchain technology Artificial Intelligence tools for system transformation a business analytical standpoint. maintains secure environment through its indestructible record distributed computing framework locks out breaches unlawful modifications thus meeting healthcare requirements...

Healthcare IT underwent a revolution through artificial intelligence (AI) together with high-performance computing which particularly enhances diagnostics along intelligent data processing operations. The use of AI-powered racks delivers exceptional speed alongside efficiency for handling large-scale medical leads to faster diagnoses and real-time patient observation precise treatments. This paper studies how redefine healthcare operations their ability boost computational power generate...

The fast growth of Over-the-Top (OTT) services disrupted conventional telecom revenue streams which now demands operators to develop new business approaches. Telecom corporations need essential survival techniques preserve profitability while operating in an OTT-dominant market structure according this research. research utilizes a blended methodology that combines financial data within the industry with case examples and pattern analyses study success revenue-stream redirection strategies...

New advancements in artificial intelligence technology have driven fundamental changes IT operations by making possible self-governing infrastructure along with intelligent service administration. frameworks of a traditional nature present several performance-limiting issues because they depend on humans while only addressing problems after occur which leads to both poor operational outcomes and elevated expenses. AI computing racks bring revolutionary systems through their integration...

Abstract Background Colocasia esculenta (L.) Schott, known as the taro vegetable, possesses various beneficial effects and is traditionally used in folk medicine. This study explores ameliorative antioxidant hepatoprotective effect of a methanolic extract C. flower (ME‐CEF) against oxidative damage hepatotoxicity mice. Methods The efficacy ME‐CEF was assessed using 2,2′‐azino‐bis‐(3‐ethylbenzothiazoline‐6‐sulfonic) (ABTS) 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) scavenging assay. investigated by...

Post Translational Modification (PTM) is considered an important biological process with a tremendous impact on the function of proteins in both eukaryotes, and prokaryotes cells. During past decades, wide range PTMs has been identified. Among them, malonylation recently identified PTM which plays vital role interactions. Notwithstanding, this modification potential energy metabolism different species including Homo Sapiens. The identification sites using experimental methods time-consuming...

Brain tumors are among the deadliest forms of cancer, and there is a significant death rate in patients. Identifying classifying brain critical steps understanding their functioning. The best way to treat tumor depends on its type, size, location. In modern era, Radiologists utilize locations that can be determined using magnetic resonance imaging (MRI). However, manual tests MRI examinations time-consuming require skills. addition, misdiagnosis lead inappropriate medical therapy, which...

Inspection of code review process effectiveness and continuous improvement can boost development productivity. Such inspection is a time-consuming human-bias-prone task. We propose semi-supervised learning based system ReviewRanker which aimed at assigning each confidence score expected to resonate with the quality review. Our proposed method trained on simple well defined labels provided by developers. The labeling task requires little no effort from has potential minimizing back-and-forth...

Lysine propionylation is an extensive post- translational modification in both eukaryotes and prokaryotes which brings a significant regulatory role. However, for various biological processes metabolic activities, it also responsible. Nevertheless, the limitation effectiveness of lysine photosynthetic organisms remain obscure. If any computational method can thoroughly identify sites with greater accuracy then will be more beneficial as well save money cost. In this work, we have introduced...

Cancer is one of the most hazardous diseases that cause death.However, if detected early this medical condition not very prohibitive to defeat.The skin cancer anomalous growth cells often promotes on body apparent sunlight but can occur anywhere body.Skin common type malignant tumor in both men and women.So, for detection cancer, image processing approaches play a paramount role.There are mainly four steps involved are: Preprocessing, segmentation, feature extraction, classification.The...

Glutarylation is a new acylated post-translational modification. It responsible for diverse metabolic functions and biological process. Identification of glutarylation very significant as it controls different mitochondrial activities. Laboratory methods identification are costly take lot time. If computational tool can identify lysine sites efficiently, will both save time money. In our proposed method, comparatively feature extraction technique, peptide evolutionary features, has been used...

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Abstract Methylation is considered one of the proteins’ most important post-translational modifications (PTM). Plasticity and cellular dynamics are among many traits that regulated by methylation. Currently, methylation sites identified using experimental approaches. However, these methods time-consuming expensive. With use computer modelling, can be quickly accurately, providing valuable information for further trial investigation. In this study, we propose a new machine-learning model...

<title>Abstract</title> Background <italic>Colocasia esculenta</italic> (L) Schott, known as the taro vegetable, possesses various beneficial effects and is traditionally used in folk medicine. This study explores ameliorative anti-oxidant hepatoprotective effect of a methanolic extract flower (ME-CEF) against oxidative damage hepatotoxicity mice. Methods The antioxidant efficacy ME-CEF was assessed using ABTS DPPH scavenging assay. investigated by an assessment liver injury indicators (ALT,...

Abstract This research investigates how machine learning (ML) algorithms can be applied to financial fraud detection as a way improve predictive analysis and reduce business risk of fraudulent activities. Financial is major threat according Association Certified Fraud Examiners (2023) which may cost corporations consumers more than $5 trillion. Many traditional systems have relied on rule-based methods restricted with predefined criteria not able adapt evolving patterns. For this research,...

Sign language is commonly used by people with hearing and speech impairments, making it difficult for those without such disabilities to understand. However, sign not limited communication within the deaf community alone. It has been officially recognized in numerous countries increasingly being offered as a second option educational institutions. In addition, shown its usefulness various professional sectors, including interpreting, education, healthcare, facilitating between impairments....

Code review is considered a key process in the software industry for minimizing bugs and improving code quality. Inspection of effectiveness continuous improvement can boost development productivity. Such inspection time-consuming human-bias-prone task. We propose semi-supervised learning based system ReviewRanker which aimed at assigning each confidence score expected to resonate with quality review. Our proposed method trained on simple well defined labels provided by developers. The...