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Network Biology
Dikeluarkan Scopus 2017
ISSN 2220-8879 · International Academy of Ecology and Environmental Sciences · 213 artikel di indeks
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Artikel Jurnal Teks lengkap
Insights into the evolution of Wolbachia supergroup through the lens of genomic variation, phylogenetic and recombination analysis
Wolbachia is an alpha-proteobacteria and endosymbiont, causing infection in arthropods as parasites and in nematodes as mutualists. Unraveling the evolution of Wolbachia supergroups is the most fascinating topic among the scientific community. In this quest, we analyzed 30 Wolbachia genomes that…
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Production and optimisation of Polyhydroxyalkanoates (PHA) from Bacillus subtilis using response surface methodology
Polyhydroxyalkanoates (PHAs) are storage materials, accumulated by various bacteria as energy and carbon reserve materials. They are biodegradable and biocompatible; hence, they can be used in packaging and carrier molecules in the agricultural field. In the present study, we aim to produce PHA by…
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Convergent transcriptomic signatures reveal cell cycle and DNA repair dependencies in triple-negative breast cancer: A network-based multi-dataset analysis
Triple-negative breast cancer (TNBC) remains one of the most aggressive and therapeutically challenging breast cancer subtypes due to the absence of hormone receptors and HER2 expression. To uncover reproducible molecular signatures and potential therapeutic targets, we performed an integrative…
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TraitGenePathAna: The AI-Powered biological trait analysis platform
The AI-Powered biological trait analysis platform, TraitGenePathAna, is a single-page web application that helps a user explore the biology behind a trait (e.g., longevity, disease resistance) for a chosen species (e.g., Homo sapiens, Drosophila melanogaster). It does this by sending a structured…
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Uncovering multi-target natural inhibitors for hypertension through network pharmacology and structure-based screening
Hypertension is a major global health challenge and a key risk factor for cardiovascular, renal, and cerebrovascular disorders. Despite the availability of several synthetic antihypertensive drugs, their prolonged use often leads to adverse side effects, underscoring the need for safer…
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MR PHARMACIST: AI-Based medication consultation platform
In present study an AI-based medication consultation platform, MR PHARMACIST, was developed. It is an advanced web-based platform designed to provide professional medication consultation services using artificial intelligence. MR PHARMACIST collects essential health information including age…
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DR SUN YATSEN: An AI-Based medical clinic
An AI-based medical clinic, DR SUN YATSEN, was developed in present study. It is an intelligent, standardized, multilingual, and user friendly digital medical platform that integrates multiple AI LLMs (DeepSeek, OpenAI GPT, and Google Gemini, etc.) for simultaneous, comparative medical reasoning…
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Deciphering Metabolite–MRGPRD interactions: A computational insight into RAS pathway modulation
The renin-angiotensin system (RAS) regulates diverse physiological processes, making it a highly complex and tightly controlled biological network. RAS components signal through two major pathways that mediate both proliferative and anti-proliferative effects. Dysregulation of this system has been…
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A study on Nilpotent graph in genetic code algebra
The genetic code is a set of codons that contains genetic information regarding the creation of protein molecules. We studied nilpotent graphs in genetic code algebra in this work. The vertex set is the set of all non-nilpotent elements of a ring, and two vertices are neighbouring if and only if…
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State space analysis of diphtheria pathogenesis using semi-tensor products and permutation methods
In this study, we analyze the state space of a Boolean network modeling diphtheria pathogenesis, focusing on key genes such as Tox, Rep, INF1/INF2, TLR, AP1, IL6, and TNF. We introduce targeted perturbations to reveal how the network responds and converges to its attractors. Our approach utilizes…
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A bit-arc capacity scaling algorithm for the maximum flow problem subjected to box constraints on the flow vector in digraph
A bit-arc capacity scaling algorithm to solve the maximal flow problem subjected to box constraints on the flow vector in directed network has been presented. The algorithm is mainly based on successive divisions of capacities by multiples of two. It solves the maximal flow problem as a sequence of…
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Analysis of Z64 genetic code network
The genetic code is the set of rules defining how the sequence of nucleotides in DNA or RNA determines the specific amino acid sequence in the synthesis of protein. Proteins are the basic functional elements of living organisms and amino acids are the building blocks of proteins. Each protein is…
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Artificial intelligence in acoustic ecology: Soundscape classification in the Cerrado
This article explores the application of machine learning techniques in acoustic ecology to classify the formations of the Brazilian Cerrado (Forest, Savanna, and Grassland) based on their soundscapes. Considering the importance of the Cerrado in biodiversity and hydrology, along with the…
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Biosynthesis, applications, and mathematical modeling dynamics of lactic acid bacteria exopolysaccharides: A review
There is a dearth of literature on mathematical modeling for producing exopolysaccharides (EPS) synthesized by lactic acid bacteria (LAB). Mathematical models can enhance EPS yield by considering the distribution of control over metabolic flows and physicochemical restrictions. These models improve…
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Application of signed graph in amino acid network
This article is aimed to construct a model related to protein structure and amino acids viz., Brandstein and Tooze's condition. To study Brandstein and Tooze's condition we have considered signed graph in amino acids. For this we have constructed a network structure, where the link is based on the…
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Mendelian randomization: Principles and methods
Mendelian randomization (MR) is a methodology for evaluating causality in observational studies. MR tries to find the fact that genotypes are not susceptible to reverse causation and confounding based on Mendel's law of inheritance. MR may provide information on causality in situations where…
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Analysis of amino acid network based on bond energy using graph mining techniques
Amino acids are building blocks of proteins which are essential for all biological functions. Each amino acid has different physico-chemical characteristics. The interconnection between one amino acid with other amino acids in surrounding environment creates a network which is very complex in…
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Dynamics of a prey-predator system under the influence of the Allee effect and Holling type-II functional response
Capturing complicated dynamics and understanding the underlying controlling ecological processes is one of the major ecological issues. The Allee effect is an essential component in ecology, and considering it can have a substantial impact on system dynamics. In the present investigation, we…
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Dynamical behavior of an eco-epidemiological model incorporating Holling type-II functional response with prey refuge and constant prey harvesting
In the present investigation, we examine the consequences of a predator-prey model that includes a constant harvesting technique in a population of susceptible prey. A particular kind of flipping functional approach is present in our proposed prey-predator system; in this response, the predator…
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Stability analysis of a predator-prey model using Takagi-Sugeno method
The current study is based on a predator-prey model with infection that affects only predator species. Predators are divided into two categories such as the susceptible predator and the infected predator, which are feeding on prey species. The Takagi-Sugeno (T-S) based fuzzy impulsive control model…