Publications by authors named "Chakraborty Chiranjib"

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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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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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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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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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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  • 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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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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During the COVID-19 pandemic, one of the biggest challenges was the continuous evolution of SARS-CoV-2 through various mutations. This has resulted in the emergence of several variants and subvariants. The escape mutations are reported as significant mutations in several variants and subvariants responsible for immune, antibody, and nAb escape.

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Long COVID was reported as a multi-systemic condition after the infection of SARS-CoV-2, and more than 65 million people are suffering from this disease. It has been noted that around 10% of severe SARS-CoV-2 infected individuals are suffering from the enduring effects of long COVID. The symptoms of long COVID have also been noted in several mild or asymptomatic SARS-CoV-2 infected individuals.

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Background: Long COVID has appeared as a significant global health issue and is an extra burden to the healthcare system. It affects a considerable number of people throughout the globe. However, substantial research gaps have been noted in understanding the mechanism and genomic landscape during the long COVID infection.

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Article Synopsis
  • The emergence of SARS-CoV-2 variants has intensified the pandemic and raised concerns about new mutations.
  • Researchers have analyzed the interaction between the virus's Spike protein and TLR4, a receptor that triggers inflammatory responses, using in silico methods.
  • The findings show varying numbers of hydrogen bonds formed between different variants of the Spike protein and TLR4, with Omicron exhibiting the strongest binding affinity compared to wild type, Alpha, and Delta variants.
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miRNAs are single-stranded ncRNAs that act as regulators of different human body processes. Several miRNAs have been noted to control the human immune and inflammatory response during severe acute respiratory infection syndrome (SARS-CoV-2) infection. Similarly, many miRNAs were upregulated and downregulated during different respiratory virus infections.

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Major countries like the USA, European Union, UK, Japan, Canada, Australia, Singapore, and China have taken significant initiatives to develop quantum computation infrastructure. India has also taken several steps to join the quantum computation family. The Indian government has taken several initiatives to build the nation's infrastructure on quantum computation and participate in the global quantum landscape.

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ChatGPT has quickly popularized since its release in November 2022. Currently, large language models (LLMs) and ChatGPT have been applied in various domains of medical science, including in cardiology, nephrology, orthopedics, ophthalmology, gastroenterology, and radiology. Researchers are exploring the potential of LLMs and ChatGPT for clinicians and surgeons in every domain.

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The release of ChatGPT has initiated new thinking about AI-based Chatbot and its application and has drawn huge public attention worldwide. Researchers and doctors have started thinking about the promise and application of AI-related large language models in medicine during the past few months. Here, the comprehensive review highlighted the overview of Chatbot and ChatGPT and their current role in medicine.

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