Publications by authors named "Chakraborty C"

Porous covalent organic frameworks (COFs) offer significant advantages in electrochromic (EC) applications due to their high surface area and porosity, which facilitate faradaic redox-mediated diffusion-controlled processes. However, COFs remain underexplored as EC materials due to challenges such as limited solubility and poor film-forming ability. In this study, we synthesized a redox-active triphenylamine-containing COF (TPA-TCIF) on ITO glass via a solvothermal method tailored for electrochromism and electrofluorochromism.

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The research aims to identify and characterize the antibody escape mutations of NTD and RBD regions of SARS-CoV-2 using prompt engineering-enabled combined LLMs (large language models) and instigative bioinformatics techniques. We used two LLMs (ChatGPT and Mistral 7B) and one MLLM (Gemini model) to retrieve the significant NTD and RBD mutations. The retrieved significant mutations were characterized through the in silico servers.

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Toll-like receptors (TLRs) of human are considered as the most critical immunological mediators of inflammatory pathogenesis of COVID-19. These immunoregulatory glycoproteins are located on the surface and/or intracellular compartment act as innate immune sensors. Upon binding with distinct SARS-CoV-2 ligand(s), TLRs signal activation of different transcription factors that induce expression of the proinflammatory mediators that collectively induce 'cytokine storm'.

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One of the recent emerging global health issues is long COVID. Among long COVID patients, long COVID-associated brain fog is an important area. We noted an immense gap in understanding the genes and associated pathways involved in long COVID-associated brain fog.

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Psoriasis, being a chronic, inflammatory, lifelong skin disorder, has become a major threat to the human population. The precise and effective diagnosis of psoriasis continues to be difficult for clinicians due to its varied nature. In northern India, the prevalence of psoriasis among adult population ranges from 0.

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After ChatGPT was released, large language models (LLMs) became more popular. Academicians use ChatGPT or LLM models for different purposes, and the use of ChatGPT or LLM is increasing from medical science to diversified areas. Recently, the multimodal LLM (MLLM) has also become popular.

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The COVID-19 pandemic began in late 2019 and its uneven impact across different communities globally was quickly evident. In Canada, South Asian communities were disproportionately affected. In response, the South Asian COVID-19 Task Force (SACTF) emerged, seeking to address the unique challenges faced by the South Asian community.

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Selecting the right functional linkers and metal centers is crucial for creating multifunctional crystalline coordination polymers, which show promise in energy storage applications. Herein, a new two-dimensional Zn(II)-based CP, named , has been synthesized using solvothermal methods with 2-amino terephthalic acid (2ATA) and the biomolecule purine as key building blocks. Purine, which is relatively unexplored in CP synthesis, plays a crucial role in the distinct properties of CPs.

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Article Synopsis
  • * NiV, initially identified in Malaysia in 1998, primarily spreads through contact with infected body fluids and is considered unlikely to cause a pandemic, although knowledge about it is lacking.
  • * A review article aims to bridge this knowledge gap by detailing aspects like the virus's genome, transmission, and potential treatments, helping researchers develop safe vaccines and effective therapies.
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Autoantibodies are immune system-produced antibodies that wrongly target the body's cells and tissues for attack. The COVID-19 pandemic has made it possible to link autoantibodies to both the severity of pathogenic infection and the emergence of several autoimmune diseases after recovery from the infection. An overview of autoimmune disorders and the function of autoantibodies in COVID-19 and other infectious diseases are discussed in this review article.

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The emergence of highly pathogenic avian influenza strain A (H5N1) in the USA is a high concern. Here, we illustrated the evolution, divergence, transmission pattern, infection pattern, entropy diversity, nucleotide diversity, and mutational landscape of HPAI(H5N1). We depicted three phylogenetic trees, i.

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Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug discovery has come to the forefront. It reduces the time and expenditure. Due to these advantages, pharmaceutical industries are concentrating on AI-driven drug discovery.

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Article Synopsis
  • * The study introduces a new vaccine candidate that targets the TLR4/MD2 complex using tumor-specific neoantigens derived from lncRNA, selected through advanced immunoinformatics tools.
  • * Preliminary evaluations indicate the vaccine has promising properties for stimulating the immune response against colorectal cancer, but further research is necessary to confirm its effectiveness and safety for clinical use.
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  • The study focuses on creating flexible piezoelectric nanogenerators using erbium-doped ZnO (EZ) nanoparticles mixed with a polyvinylidene fluoride (PVDF) matrix through a cost-effective solution casting method.
  • It confirms the successful integration of rod-like EZ nanoparticles into the PVDF matrix and shows enhanced piezoelectric properties, including improved polarization and voltage outputs compared to standard PVDF films.
  • The resulting EZ-PVDF nanocomposite films exhibit high efficiency in power generation, particularly useful for applications such as human-machine interfaces, including bending and motion sensors.
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Over the last two decades, the Nipah virus (NiV) emerged as a highly lethal zoonotic pathogen to humans. Outbreaks occurred occasionally in South and Southeast Asia. Therefore, a safe and effective vaccine against the virus is needed to fight against the deadly virus.

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  • Multiple myeloma (MM) is a challenging cancer with limited curative options, highlighting the need for better treatments.
  • Research has shown that blocking CDK7 affects the cell cycle and metabolism by interfering with key transcription factors E2F1 and MYC, indicating it could be a valuable drug target for MM.
  • Combining therapies that target both CDK7 and BRD4 has proven to be more effective, leading to increased cancer cell death and decreased tumor growth in laboratory tests and animal models, suggesting a promising approach for treating MM and related conditions like Waldenström's Macroglobulinemia (WM).
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Quercetin (QC), a naturally occurring bioflavonoid found in various fruits and vegetables, possesses many potential health benefits, primarily attributed to its robust antioxidant properties. The generation of oxidative stress in bone cells is a key modulator of their physiological behavior. Moreover, oxidative stress status influences the pathophysiology of mineralized tissues.

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  • The paper discusses the growing focus on data-driven remote medical management, specifically for predicting survival time, by monitoring patient physical characteristics using intelligent algorithms.
  • It highlights the challenge of lacking multimedia information in traditional medical data analysis and proposes a solution using ensemble deep learning to improve feature representation.
  • The proposed framework, called "MDL-MDM", integrates multiple neural network models to enhance medical data management and shows promising results, achieving a 1-2% reduction in prediction error using cancer patient data.
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  • Glioblastoma multiforme (GBM) is a highly aggressive brain cancer, and recent research focused on understanding how it develops resistance to the drug temozolomide using various analytical techniques.
  • The study identified specific genes that are either downregulated (like TK1 and CACNA2D1) or upregulated (such as SERPINA3 and GDF15) in GBM, contributing to its resistance and aggressive nature.
  • The research also included patient sample analysis, revealing significant differences in protein expression between IDH-mutant and IDH-wild-type GBM, which could lead to new biomarkers and treatment strategies for this challenging cancer.
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Transition metal dichalcogenide (TMD/TMDC) monolayers have gained considerable attention in recent years for their unique properties. Some of these properties include direct bandgap emission and strong mechanical and electronic properties. For these reasons, monolayer TMDs have been considered a promising material for next-generation quantum technologies and optoelectronic devices.

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This work reports temperature-dependent shape-changeable two-dimensional (2D) nanostructures by crystallization-driven self-assembly (CDSA) from a chromophore-conjugated poly(L-lactide) (PLLA) homopolymer (PTZ-P1) that contained a polar dye, phenothiazine (PTZ), at the chain-end of the crystallizable PLLA. The CDSA of PTZ-P1 in a polar solvent, isopropanol (iPrOH), by an uncontrolled heating-cooling process, majorly generates lozenge-shaped 2D platelets chain-folding-mediated crystallization of the PLLA core, leading to the display of the phenothiazines on the 2D surface that confers colloidal stability and orange-emitting luminescent properties to the crystal lamellae. Isothermal crystallization at 60 °C causes a morphological change in PTZ-P1 platelets from lozenge to truncated-lozenge to perfect hexagon under different annealing times, while no shape change was noticed in the structurally similar PTZ-P2 polymer with a longer PLLA chain under similar conditions.

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To our knowledge, venetoclax is the first example of personalized medicine for multiple myeloma (MM), with meaningful clinical activity as a monotherapy and in combination in patients with myeloma harboring the t(11:14) translocation. However, despite the high response rates and prolonged progression-free survival, a significant proportion of patients eventually relapse. Here, we aim to study adaptive molecular responses after the acquisition of venetoclax resistance in sensitive t(11:14) MM cell models.

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Reverse zoonosis reveals the process of transmission of a pathogen through the human-animal interface and the spillback of the zoonotic pathogen. In this article, we methodically demonstrate various aspects of reverse zoonosis, with a comprehensive discussion of SARS-CoV-2 and MPXV reverse zoonosis. First, different components of reverse zoonosis, such as humans, different pathogens, and numerous animals (poultry, livestock, pets, wild animals, and zoo animals), have been demonstrated.

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Background: Monkeypox (Mpox) is an important human pathogen without etiological treatment. A viral-host interactome study may advance our understanding of molecular pathogenesis and lead to the discovery of suitable therapeutic targets.

Methods: GEO Expression datasets characterizing mRNA profile changes in different host responses to poxviruses were analyzed for shared pathway identification, and then, the Protein-protein interaction (PPI) maps were built.

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