A5078685957- Computational Drug Discovery Methods
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Chromosomal and Genetic Variations
- Genetics, Bioinformatics, and Biomedical Research
- SARS-CoV-2 and COVID-19 Research
- Machine Learning in Bioinformatics
- COVID-19 Clinical Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Diverse Scientific Research Studies
- Bioinformatics and Genomic Networks
- Cell Image Analysis Techniques
- Hepatitis B Virus Studies
- COVID-19 diagnosis using AI
- Trypanosoma species research and implications
- Viral gastroenteritis research and epidemiology
- Liver Disease Diagnosis and Treatment
- Gene expression and cancer classification
- Click Chemistry and Applications
- Lung Cancer Diagnosis and Treatment
- Monoclonal and Polyclonal Antibodies Research
- Parasitic Infections and Diagnostics
- Peptidase Inhibition and Analysis
- Histone Deacetylase Inhibitors Research
Amity University
2021-2025
Czech Academy of Sciences, Institute of Biotechnology
2020-2024
Amity University
2022
Semtech (Canada)
2022
Jaypee Institute of Information Technology
2010-2019
Jawaharlal Nehru University
2005-2011
Antigen identification is an important step in the vaccine development process. Computational approaches including deep learning systems can play role of targets using genomic and proteomic information. Here, we present a new computational system to discover analyse novel leading design multi-epitope subunit candidate. The incorporates reverse vaccinology immuno-informatics tools screen datasets several pathogens such as Trypanosoma cruzi, Plasmodium falciparum, Vibrio cholerae identify...
Abstract Objective The aim of the study was to identify indicated homeopathic remedies based on clinical characteristics coronavirus disease 2019 (COVID-19) patients in India. Methods In this retrospective, cohort study, confirmed COVID-19 admitted at a COVID Health Centre New Delhi between April 29 and June 17, 2020 were given conventional treatment. Patients grouped into mild, moderate or severe categories disease. Their symptomatologic profiles analyzed medicines. Results A total 196...
The prognosis of lung carcinoma has changed since the discovery molecular targets and their specific drugs. Somatic Epidermal Growth Factor Receptor (EGFR) mutations have been reported in carcinoma, these mutant proteins act as substrates for targeted therapies. However, a resource-constrained country like India, panel-based next-generation sequencing cannot be made available to population at large. Additional challenges such adequacy tissue case core biopsies locating suitable tumour...
An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It to be caused by a novel coronavirus which has infected approximately 220 million people worldwide with death toll of 4.5 as September 2021. This study is focused finding potential vaccine candidates and designing an in-silico subunit multi-epitope using unique computational pipeline, integrating reverse vaccinology, molecular docking simulation methods. A protein spike SARS-CoV-2 the GenBank ID...
Various microorganisms cause an array of diseases grouped under the term immunoproliferative small intestine disease (IPSID). However, Campylobacter Jejuni is major and persistent organism concern. Minor effects include diarrhea, nausea, imbalance body's electrolytes, etc.; may even end in death if left untreated for long. IPSID involves infiltration lymphocytes due to immune response owing invasion from microbes, which finally evolves into formation IgA producing bodies then selection a...
Mobile genetic elements (MGEs) account for a significant fraction of eukaryotic genomes and are implicated in altered gene expression disease. We present an efficient computational protocol MGE insertion site analysis. ELAN, the suite tools described here uses standard techniques to identify different MGEs their distribution on genome. One component, DNASCANNER analyses known sites presence signals that based combination local physical chemical properties. ISF (insertion finder) is...
Obesity is a global epidemic affecting over 1.5 billion people and one of the risk factors for several diseases such as type 2 diabetes mellitus hypertension. We have constructed comprehensive map molecules reported to be implicated in obesity. A deep curation strategy was complemented by novel semi-automated text mining system order screen 1,000 full-length research articles 90,000 abstracts that are relevant obtain scale free network 804 nodes 971 edges, composed 510 proteins, 115 genes,...
Chagas disease (CD) is endemic in large parts of Central and South America, as well Texas the southern regions United States. Successful parasites, such causative agent CD, Trypanosoma cruzi have adapted to specific hosts during their phylogenesis. In this work, we assembled an interactive network complex relations that occur between molecules within T. cruzi. An expert curation strategy was combined with a text-mining approach screen 10,234 full-length research articles over 200,000...
The genome of the human pathogen Entamoeba histolytica contains non-long terminal repeat (LTR) retrotransposons, EhLINEs and EhSINEs, which lack targeted insertion. We investigated importance local DNA structure, sequence preference element-encoded endonuclease (EN) in selecting target sites for retrotransposon Pre-insertion loci were tested computationally to detect unique features based on thermodynamic considerations protein interaction measures. Target could readily be distinguished from...
The technology of docking molecules in-silico has evolved significantly in recent years and become a crucial component the drug discovery tool process that includes virtual screening, lead optimization, side-effect predictions. To date over 43,000 abstracts/papers have been published on docking, thereby highlighting importance this computational approach context development. Considering large amount genomic proteomic consortia active public domain, can exploit data correspondingly ‘large...
MicroRNAs (miRNAs) are small, conserved RNAs known to regulate several biological processes by influencing gene expression in eukaryotes. The implication of miRNAs as another player regulatory layers during heart development and diseases has recently been explored. However, there is no study which elucidates the profiling till date. Very limited have reported date cardiac context. In addition, integration large scale experimental data with computational comparative approaches remains an...
ABSTRACT Purpose Merozoites are the only extracellular form of blood stage parasites, making it a worthwhile target. Multiple invasins that stored in merozoite apical organelles, secreted just prior to invasion, and mediates its interaction with RBC. A comprehensive identification all these is lacking this study addresses gap. Experimental Design Pf 3D7 merozoites were enriched triggered discharge organelle contents by exposure ionic conditions mimicking plasma. The proteins separated from...
The outbreak of the novel coronavirus disease COVID-19, caused by SARS-CoV-2 virus has killed over 5 million people to date. So, there is an urgent requirement for new and effective medications that can treat SARS-CoV-2. To find drugs, identification drug targets necessary (Chen et al., 2016). Number research studies have identified therapeutic such as helicases, transmembrane serine protease 2, cathepsin L, cyclin G-associated kinase, adaptor associated kinase 1, two-pore channel, viral...
Background: Mobile genetic elements (MGEs) comprise a major portion of the human genome and are essential for diversity. These known to have capability induce mutations in genome. To date, there several MGE insertions which been reported be associated with cancer. We aim use next-generation sequencing data appropriate bioinformatics tools accurately identify insertion sites MGEs genome.Results: Herein, we introduce MeX pipeline localization annotation paired-end data. It requires reference...
e21044 Background: Almost 70% of cases lung cancer are diagnosed at advanced stage, albeit with sophisticated imaging modalities available. Of these, 35% tiny nodules that often missed initial radiological screening, owing to limitations resolution human vision.Dramatic shift in therapeutic paradigm the management last decade has ushered an era stratified medicine. In India, one-third population inhabits rural lands;lack awareness for molecular medicine poses challenges treating oncologists....
MicroRNAs have been implicated for the regulation of gene expression.These miRNA are a class single stranded non coding RNAs, formed from endogenous transcripts and measure typically about 19-25 nucleotides in length.They important regulators various biological metabolic functions taking place humans.Many miRNAs show tissue specific expression.Human heart is complex organ which during diseased developed conditions shows differential expression miRNA.Here, we overview recent findings on...
The technology of docking molecules in-silico has evolved significantly in recent years and become a crucial component the drug discovery tool process that includes virtual screening, lead optimization, side-effect predictions. To date over 43,000 abstracts/papers have been published on docking, thereby highlighting importance this computational approach context development. Considering large amount genomic proteomic consortia active public domain, can exploit data correspondingly ‘large...
An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It to be caused by a novel coronavirus which has infected approximately 8.7 million people worldwide with death toll of 463000 till date. This study is focused finding potential vaccine candidates and designing an in-silico subunit multi-epitope using unique computational pipeline, integrating reverse vaccinology molecular docking methods. A protein SARS-CoV-spike [S] SARS-CoV-2 having GenBank ID-...
Mobile genetic elements (MGEs) occupy major proportion of eukaryotic genomes and are present in significant numbers prokaryote also.Here we report a new method which extracts motif at the site insertion MGE using tools such as DNA SCANNER.The flanking region is extracted analyzed Scanner for physiochemical properties like protein-interaction measures, energy profiles well structural parameters.In case signals observed, most frequently occurring n-mer (5<n<20) identified.We observed between...
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Vaccine development relies heavily on the identification of appropriate antigen targets to induce robust immune responses. Traditional methods for vaccine target often involve laborious experimental procedures and may lack scalability. In recent years, Machine Learning, has emerged as a viable alternative bioinformatics tasks, including identification. this paper, we present an implementation Learning -based approaches provide insights into their effectiveness. We utilize comprehensive...