Publications by authors named "Neha S Maurya"
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.
View Article and Find Full Text PDFColorectal 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.
View Article and Find Full Text PDFNavigating Molecular Pathways: An Update on Drugs in Colorectal Cancer Treatment.
Curr Top Med Chem
January 2024
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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- * 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.
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.
View Article and Find Full Text PDFFalcipain-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.
View Article and Find Full Text PDFColorectal 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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- 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.
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.