A5058863845- Chromatin Remodeling and Cancer
- Cancer-related molecular mechanisms research
- interferon and immune responses
- MicroRNA in disease regulation
- RNA modifications and cancer
- Ferroptosis and cancer prognosis
- Cancer Mechanisms and Therapy
- vaccines and immunoinformatics approaches
- Glioma Diagnosis and Treatment
- COVID-19 and Mental Health
- Circular RNAs in diseases
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Immunotherapy and Immune Responses
- Cancer Genomics and Diagnostics
- SARS-CoV-2 and COVID-19 Research
- Cancer, Hypoxia, and Metabolism
- Genomics and Phylogenetic Studies
- Actinomycetales infections and treatment
- Molecular Biology Techniques and Applications
- Cancer, Lipids, and Metabolism
- Fungal Infections and Studies
- Hematopoietic Stem Cell Transplantation
- Ovarian cancer diagnosis and treatment
- Autoimmune and Inflammatory Disorders Research
Dayanand Medical College & Hospital
2016-2025
All India Institute of Medical Sciences
2022-2025
All India Institute of Medical Sciences Raipur
2025
All India Institute of Medical Sciences Bhopal
2025
Lovely Professional University
2021-2025
National Cancer Institute
2022-2025
Center for Cancer Research
2022-2025
National Institutes of Health
2022-2025
Post Graduate Institute of Medical Education and Research
2024
Government Medical College, Amritsar
2024
In the past, numerous methods have been developed to predict MHC class II binders or T-helper epitopes for designing epitope-based vaccines against pathogens. contrast, limited attempts made develop predicting epitopes/peptides that can induce a specific type of cytokine. This paper describes method, interleukin-10 (IL-10) inducing peptides, cytokine responsible suppressing immune system. All models were trained and tested on experimentally validated 394 IL-10 848 non-inducing peptides. It...
Abstract Short half-life is one of the key challenges in field therapeutic peptides. Various studies have reported enhancement stability peptides using methods like chemical modifications, D-amino acid substitution, cyclization, replacement labile aminos acids, etc. In order to study this scattered data, there a pressing need for repository dedicated To fill lacuna, we developed PEPlife ( http://crdd.osdd.net/raghava/peplife ), manually curated resource experimentally determined contains...
Abstract In this study, an attempt has been made to identify expression-based gene biomarkers that can discriminate early and late stage of clear cell renal carcinoma (ccRCC) patients. We have analyzed the expression 523 samples genes are differentially expressed in ccRCC. First, a threshold-based method developed, which attained maximum accuracy 71.12% with ROC 0.67 using single NR3C2 . To improve performance method, we combined two or more achieved 70.19% 0.74 eight on validation dataset....
In the last three decades, a wide range of protein features have been discovered to annotate protein. Numerous attempts made integrate these in software package/platform so that user may compute from single source. To complement existing methods, we developed method, Pfeature, for computing features. Pfeature allows more than 200,000 required predicting overall function protein, residue-level annotation and chemically modified peptides. It has six major modules, namely, composition, binary...
Transcription factors are among the most attractive therapeutic targets but considered largely 'undruggable' in part due to intrinsically disordered nature of their activation domains. Here we show that aromatic character domain androgen receptor, a target for castration-resistant prostate cancer, is key its activity as transcription factor, allowing it translocate nucleus and partition into transcriptional condensates upon by androgens. On basis our understanding interactions stabilizing...
The study objective is to develop a big spatial data model predict the epidemiological impact of influenza in Vellore, India. Large repositories geospatial and health provide vital statistics on surveillance metrics, valuable insight into spatiotemporal determinants disease health. integration these sources analytics assess risk factors vulnerability can assist effective prevention control strategies for epidemics optimize allocation limited public resources. We used epidemiology HIN1...
// Melanie F. Weingart 1 , Jacquelyn J. Roth 7 Marianne Hutt-Cabezas Tracy M. Busse 8 Harpreet Kaur Antoinette Price Rachael Maynard Jeffrey Rubens Isabella Taylor Xing-gang Mao Jingying Xu 4 Yasumichi Kuwahara 3 Sariah Allen 6 Anat Erdreich-Epstein 4,5 Bernard E. Weissman Brent A. Orr Charles G. Eberhart Jaclyn Biegel 7,8,9 and Eric H. Raabe 1,2 Division of Neuropathology Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA 2 Pediatric Oncology, Lineberger...
The metastatic Skin Cutaneous Melanoma (SKCM) has been associated with diminished survival rates and high mortality worldwide. Thus, segregating melanoma from the primary tumors is crucial to employ an optimal therapeutic strategy for prolonged of patients. SKCM mRNA, miRNA methylation data TCGA comprehensively analysed recognize key genomic features that can segregate tumors. Further, machine learning models have developed using selected distinguish same. Support Vector Classification...
Abstract Motivation In last three decades, a wide range of protein descriptors/features have been discovered to annotate with high precision. A features integrated in numerous software packages (e.g., PROFEAT, PyBioMed, iFeature, protr, Rcpi, propy) predict function protein. These are not suitable at residue level such as prediction ligand binding residues, DNA interacting post translational modification etc. Results order facilitate scientific community, we developed package that computes...
A subset of poor-prognosis medulloblastoma has genomic amplification MYC. MYC regulates glutamine metabolism in multiple cellular contexts. We modified the analog 6-diazo-5-oxo-l-norleucine (DON) to mask its carboxylate and amine functionalities, creating a prodrug termed JHU-083 with increased oral bioavailability. hypothesized that this would kill MYC-expressing medulloblastoma. treatment caused decreased growth apoptosis human cell lines. generated mouse MYC-driven model by transforming...
Determining the aggressiveness of gliomas, termed grading, is a critical step toward treatment optimization to increase survival rate and decrease toxicity for patients. Streamlined grading using molecular information has potential facilitate decision making in clinic aid planning. In recent years, markers have increasingly gained importance classification tumors. this study, we propose novel hierarchical voting-based methodology improving performance results feature selection stage machine...
Glioblastoma multiforme (GBM) is the most malignant and lethal form of astrocytoma. The GBM patient survival time approximately 1 year necessitates identification novel molecular targets more effective therapeutics. Cadherin-11, a calcium-dependent cell-cell adhesion molecule mesenchymal marker, plays role in both normal tissue development cancer cell migration. functional significance cadherin-11 has not been investigated. Here, we show that expressed human tumors glioma stem-like cells by...
The high mortality rate of hepatocellular carcinoma (HCC) is primarily due to its late diagnosis. In the past, numerous attempts have been made design genetic biomarkers for identification HCC; unfortunately, most studies are based on small datasets obtained from a specific platform or lack reasonable validation performance external datasets. order identify universal expression-based diagnostic biomarker panel HCC that can be applicable across multiple platforms, we employed large-scale...
Liver Hepatocellular Carcinoma (LIHC) is one of the major cancers worldwide, responsible for millions premature deaths every year. Prediction clinical staging vital to implement optimal therapeutic strategy and prognostic prediction in cancer patients. However, date, no method has been developed predicting stage LIHC from genomic profile samples.The Cancer Genome Atlas (TCGA) dataset 173 early (stage-I), 177 late (stage-II, Stage-III stage-IV) 50 adjacent normal tissue samples 60,483 RNA...
Human leukocyte antigen (HLA) are essential components of the immune system that stimulate cells to provide protection and defense against cancer. Thousands HLA alleles have been reported in literature, but only a specific set present an individual. The capability recognize cancer-associated mutations depends on presence particular alleles, which elicit response fight Therefore, occurrence affects survival outcome cancer patients. In current study, prediction models were developed, using 401...
Abstract Glioblastomas are highly aggressive tumors that contain treatment resistant stem‐like cells. Therapies targeting developmental pathways such as Notch eliminate many neoplastic glioma cells, including those with stem cell features, but their efficacy can be limited by various mechanisms. One potential avenue for chemotherapeutic resistance is the induction of autophagy, little known how it might modulate response to inhibitors. We used γ‐secretase inhibitor MRK003 block pathway...
Abstract Liver cancer is the fourth major lethal malignancy worldwide. To understand development and progression of liver cancer, biomedical research generated a tremendous amount transcriptomics disease-specific biomarker data. However, dispersed information poses pragmatic hurdles to delineate significant markers for disease. Hence, dedicated resource required that integrates scattered multiple formatted datasets regarding biomarkers. Cancer Expression Resource (CancerLivER) database...
Abstract Background The therapeutic landscape for ulcerative colitis (UC) has shifted toward deeper disease control. real-world data on efficacy of tofacitinib in inducing histologic remission (HR) remains limited. We evaluated the achieving endoscopic (ER) and HR. Methods A prospective cohort study was conducted from January 2022 to June 2024. Adult patients with moderate-to-severe UC (Mayo score ≥6, subscore ≥2), who responded induction were included. Paired assessments performed at...