Publications by authors named "Ashutosh Mani"

Pectin lyase is an industrially important enzyme, predominately used in fruit juice clarification and retting of fibers. It also promotes pathogenesis via the degradation of the pectin. The phytopathogen, Fusarium infects various crops and causes several diseases.

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Background and objective: Colorectal Cancer (CRC) affects the colon and rectum part of the digestive system and is a significant global health concern, with approximately 1.1 million new cases annually. It ranks second in cancer-related deaths.

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Article Synopsis
  • Advanced sequencing technologies help scientists learn about diseases in people by studying different types of RNA.
  • This review explains how important tiny RNA molecules (miRNAs) control genes related to diseases and discusses ways to analyze data to understand these links.
  • It also shares methods to overcome challenges in studying miRNAs and suggests a complete workflow to help identify patterns in human diseases.
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Introduction: Alzheimer's disease (AD) is an alarmingly prevalent worldwide neurological disorder that affects millions of people and has severe effects on cognitive functions. The amyloid hypothesis, which links AD to Aβ (amyloid beta) plaque aggregation, is a well-acknowledged theory. The β-secretase (BACE1) is the main cause of Aβ production, which makes it a possible target for therapy.

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Article Synopsis
  • Computational biology integrates computer science with biology to analyze complex biological data on a large scale and develop predictive models.* -
  • In the 21st century, computational resources and AI are crucial in biological sciences, aiding in drug design and vaccine development to enhance human and animal welfare.* -
  • This review article highlights key computational resources and AI tools in vaccine research while also addressing their applications and limitations in the development process.*
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Many food-derived peptides have the potential to improve brain health and slow down neurodegeneration. Peptides are produced by the enzymatic hydrolysis of proteins from different food sources. These peptides have been shown to be involved in antioxidant and anti-inflammatory activity, neuro-transmission modulation, and gene expression regulation.

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Colorectal cancer affects the colon or rectum and is a common global health issue, with 1.1 million new cases occurring yearly. The study aimed to identify gene signatures for the early detection of CRC using machine learning (ML) algorithms utilizing gene expression data.

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Malaria remains one of the most challenging tropical diseases. Since malaria cases are reportedly alarming in terms of infections and mortality, urgent attention is needed for addressing the issues of drug resistance in falciparum malaria. High throughput screening methods have paved way for rapid identification of anti-malarial.

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Colorectal cancer (CRC) is a multifaceted and heterogeneous ailment that affects the colon or rectum of the digestive system. It is the second most commonly occurring form of cancer and ranks third in terms of mortality rate. The progression of CRC does not occur due to a single mutational event; rather, it is the result of the sequential and cumulative accumulation of mutations in key driver genes of signaling pathways.

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Article Synopsis
  • * A total of 770 CRC samples were examined, revealing 170 significant DEGs, and a prognostic classification model based on 33 important genes achieved perfect accuracy and performance metrics.
  • * Further analysis highlighted the GLP2R and VSTM2A genes, which were downregulated in tumor samples and correlated with immune cell infiltration, suggesting their critical roles in CRC progression and immune response suppression.
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Alzheimer's is a chronic neurodegenerative disease where amyloid-beta (Aβ) plaques and neurofibrillary tangles are formed inside the brain. It is also characterized by progressive memory loss, depression, neuroinflammation, and derangement of other neurotransmitters. Due to its complex etiopathology, current drugs have failed to completely cure the disease.

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Falcipain-2 (FP-2) is one of the main haemoglobinase of which is an important molecular target for the treatment of malaria. In this study, we have screened alkaloids to identify potential inhibitors against FP-2 since alkaloids possess great potential as anti-malarial agents. A total of 340 alkaloids were considered for the study using a series of computational pipelines.

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In the present time of speedy developments and industrialization, heavy metals are being uncovered in aquatic environment and soil via refining, electroplating, processing, mining, metallurgical activities, dyeing and other several metallic and metal based industrial and synthetic activities. Heavy metals like lead (Pb), mercury (Hg), cadmium (Cd), arsenic (As), Zinc (Zn), Cobalt (Co), Iron (Fe), and many other are considered as seriously noxious and toxic for the aquatic environment, human, and other aquatic lives and have damaging influences. Such heavy metals, which are very tough to be degraded, can be managed by reducing their potential through various processes like removal, precipitation, oxidation-reduction, bio-sorption, recovery, bioaccumulation, bio-mineralization etc.

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The spread of antimalarial drug resistance is a substantial challenge in achieving global malaria elimination. Consequently, the identification of novel therapeutic candidates is a global health priority. Malaria parasite necessitates hemoglobin degradation for its survival, which is mediated by Falcipain 2 (FP2), a promising antimalarial target.

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Cold shock proteins (CSPs) are an ancient and conserved family of proteins. They are renowned for their role in response to low-temperature stress in bacteria and nucleic acid binding activities. In prokaryotes, cold and non-cold inducible CSPs are involved in various cellular and metabolic processes such as growth and development, osmotic oxidation, starvation, stress tolerance, and host cell invasion.

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Several G-protein coupled receptors (GPCR) are upregulated in Alzheimer's Disease (AD), which ought to facilitate neurotransmission, and improve cognition. Yet, despite this upregulation, associated physiological effects are not observed in AD patients. This paradox solicits urgent attention to find a suitable justification for disturbed neurotransmission in AD.

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Alzheimer's disease (AD) is a neurodegenerative disease that is coupled with chronic cognitive dysfunction. AD cases are mostly late onset, and genetic risk factors like the Apolipoprotein E () play a key role in this process. 2, 3, and 4 are three key alleles in the human gene.

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Colorectal cancer (CRC) is a common cause of cancer-related deaths worldwide. The CRC mRNA gene expression dataset containing 644 CRC tumor and 51 normal samples from the cancer genome atlas (TCGA) was pre-processed to identify the significant differentially expressed genes (DEGs). Feature selection techniques Least absolute shrinkage and selection operator (LASSO) and Relief were used along with class balancing for obtaining features (genes) of high importance.

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Alzheimer's disease is a progressive neurodegenerative disorder. In this disease neurodegeneration occurs due to deposition of aggregated amyloid-beta plaques and neurofibrillary tangles (hyperphosphorylated tau proteins). Present study focuses on interaction of different phytochemicals with presenilin stabilization factor like protein (PSFL).

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Article Synopsis
  • Haemophilia is an X-linked genetic disorder categorized mainly into types A and B, arising from the deficiency of proteins VIII and IX, with severity influenced by genetic mutations.
  • A new study utilized Position-Specific Mutation (PSM) and One-Hot Encoding (OHE) techniques on a dataset of 7784 mutations to predict the severity of Haemophilia 'A'.
  • The results indicated that PSM significantly outperformed OHE in both accuracy and efficiency, showing improvements in training/prediction time by up to 98% and enhanced prediction accuracy across various machine learning algorithms.
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Computational approaches have been helpful in high throughput screening of drug libraries and designing ligands against receptors. Alzheimer's disease is a complex neurological disorder, which causes dementia. In this disease neurons are damaged due to formation of Amyloid-beta plaques and neurofibrillary tangles, which along with some other factors contributes to disease development and progression.

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4-Coumarate: coenzyme A ligase () is a key enzyme involved in the early steps of the monolignol biosynthetic pathway. It is hypothesized to modulate S and G monolignol content in the plant. Lignin removal is imperative to the paper industry and higher S/G ratio governs better extractability of lignin and economics of the pulping process.

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Meta-analysis provides a systematic access to the previously studied microarray datasets that can recognize several commonsignatures of stresses. Three different datasets of abiotic stresses on rice were used for meta-analysis. These microarray datasets were normalized to regulate data for technical variation, as opposed to biological differences between the samples.

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Background: Drug design and development is a vast field that requires huge investment along with a long duration for providing approval to suitable drug candidates. With the advancement in the field of genomics, the information about druggable targets is being updated at a fast rate which is helpful in finding a cure for various diseases.

Methods: There are certain biochemicals as well as physiological advantages of using peptide-based therapeutics.

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Crop productivity and yield are adversely affected by abiotic and biotic stresses. Therefore, finding out the genes responsible for stress tolerance is a significant stride towards crop improvement. A gene co-expression network is a powerful tool to detect the most connected genes during heavy metal (HM) stress in plants.

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