14 hasil untuk "Ruby Srivastava"
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Artikel Jurnal
The Role of Proton Transfer on Mutations
Hydrogen bonds play a critical role in nucleobase studies as they encode genes, map protein structures, provide stability to the base pairs, and are involved in spontaneous and induced mutations. Proton transfer mechanism is a critical phenomenon that is related to the acid–base characteristics of…
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Artikel Jurnal
Physicochemical, antioxidant properties of carotenoids and its optoelectronic and interaction studies with chlorophyll pigments
Abstract The physicochemical and antioxidant properties of seven carotenoids: antheraxanthin, β-carotene, neoxanthin, peridinin, violaxanthin, xanthrophyll and zeaxanthin were studied by theoretical means. Then the Optoelectronic properties and interaction of chlorophyll-carotenoid complexes are…
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Artikel Jurnal
Stimuli-responsive nanomaterials for the precision delivery of mRNA cancer vaccines
mRNA vaccines have emerged as a transformative platform for cancer immunotherapy, offering rapid design, scalable production, and the capacity to encode multiple tumor antigens. By delivering mRNA directly or via ex vivo transfected dendritic cells (DCs), these vaccines induce potent polyclonal…
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Artikel Jurnal
AI-powered mapping of tumor immunity for optimized mRNA vaccine engineering
Messenger RNA (mRNA) vaccines represent a versatile and scalable platform for cancer immunotherapy; however, their clinical efficacy depends critically on precise vaccine design capable of eliciting robust, selective, and durable antitumor immune responses. Recent advances in bioinformatics and…
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Artikel Jurnal
Chemical Reactivity and Optical and Pharmacokinetics Studies of 14 Multikinase Inhibitors and Their Docking Interactions Toward ACK1 for Precision Oncology
Activated Cdc42-associated kinase 1 (ACK1/TNK2) has a significant role in cell endocytosis, survival, proliferation, and migration. Mutations in ACK1 are closely associated with the occurrence and development of cancers. In this work, a conceptual density functional theory (CDFT)-based…
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Artikel Jurnal
Application of Optimization Algorithms in Clusters
The structural characterization of clusters or nanoparticles is essential to rationalize their size and composition-dependent properties. As experiments alone could not provide complete picture of cluster structures, so independent theoretical investigations are needed to find out a detail…
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Artikel Jurnal
Artificial intelligence meets epigenetics: a new frontier in precision oncology
Epigenetics involves heritable and stable changes in gene expression that occur without altering the DNA sequence, primarily through chemical modifications to DNA and alterations in chromatin structure. Dysregulation of these epigenetic processes is widely recognized as a hallmark of cancer…
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Artikel Jurnal
Advancing precision oncology with AI-powered genomic analysis
Multiomics data integration approaches offer a comprehensive functional understanding of biological systems, with significant applications in disease therapeutics. However, the quantitative integration of multiomics data presents a complex challenge, requiring highly specialized computational…
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Artikel Jurnal
Tracing the pathways and mechanisms involved in medicinal uses of flaxseed with computational methods and bioinformatics tools
Pharmacological drugs targeting specific pathways involved in various diseases have seen recent advancement with newer and more efficient emerging drug targets, but these drugs are limited in terms of their side effects and patient adherence. The potential of plant-based diets in the form of…
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Artikel Jurnal
Explainable artificial intelligence (XAI) in schizophrenia: enhancing transparency in clinical decision-making
Schizophrenia is a chronic and severe psychiatric disorder affecting nearly 1% of the global population, characterized by positive symptoms such as hallucinations and delusions, negative symptoms including avolition and affective flattening, and cognitive impairments that compromise social and…
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Artikel Jurnal
Explainable deep learning approaches and clinical insights for cancer biomarker identification
Biomarkers play a pivotal role in contemporary cancer immunotherapy by guiding diagnosis, patient stratification, therapeutic decision-making, and longitudinal assessment of treatment responses. Despite the transformative impact of immune checkpoint inhibitors, adoptive cell therapies, and…
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Artikel Jurnal
Immunoinformatic insights for design and clinical prospects of pan-RAS cancer vaccine
IntroductionKRAS mutations, particularly at codon 12, occur in over 90% of pancreatic ductal adenocarcinoma (PDAC) cases and drive tumor initiation, progression, and therapeutic resistance. Targeting oncogenic KRAS variants through immunotherapy offers a promising strategy for PDAC treatment. This…