Search
23 articles for “Mutation Prediction”
-
AI-Driven Predictive Biotechnology Framework for Modeling Viral Mutation Hotspots Using Genomic Sequence Analysis
Abstract: Viral mutations represent one of the most critical challenges in global public health because genetic changes in viruses can significantly influence transmissibility, virulence, immune escape capability, and resistance to antiviral treatments. RNA viruses in particular exhibit high mutation rates due to error-prone replication mechanisms, making them capable of evolving rapidly in response to environmental pressures and host immune defenses. Traditional virological research primarily relies on retrospective genomic analysis, where viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
-
Mass Spectrometry–Based Phosphoproteomic Markers to Predict Kinase Inhibitor Response in Solid Tumors
Abstract: Mass spectrometry-based phosphoproteomics has emerged as a powerful tool for predicting kinase inhibitor responses in solid tumors, offering direct functional insights into signaling pathways that surpass traditional genomic profiling by capturing dynamic kinase activities and adaptive resistance mechanisms. Technological breakthroughs, including data- independent acquisition (DIA), trapped ion mobility spectrometry (timsTOF), and efficient enrichment methods like TiO2 or IMAC, now enable comprehensive profiling of over 40,000 phosphorylation sites from limited clinical …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 Read article
-
A Decade of Viral Evolution (2015–2025): Emergence, Mutations, and Implications for Global Health
Abstract: Over the past decade (2015-2025), viral evolution has profoundly reshaped the global health landscape, challenging healthcare systems, diagnostic tools, therapeutic strategies, and vaccine efficacy. This review comprehensively analyzes the evolutionary trajectories of major human and zoonotic viruses, with a focus on pandemic-prone, drug-resistant, and emerging pathogens. Viral evolution is driven by diverse molecular mechanisms including high mutation rates, recombination, reassortment, host immune pressure, and antiviral interventions, leading to genetic diversification, …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 31–40 Read article
-
Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
-
Methodologies for in silico and in vitro Test of Biphenylalanine Compounds as Potential HIV-1 gp120 Attachment Inhibitors
Abstract: We postulate that biphenylalanine and its derivatives are propitious candidates to inhibit the binding of HIV-gp120 to CD4 T-cell. Many biphenylalanine derivatives are synthesized chemically and also prevailing in nature. We have proposed atom- and bond-based 2D TOMOCOMD-CARDD approach to identify the best derivative. Moreover, according to our proposition, the principal law simulated from in silico interaction of gp120 with CD4 can be tested by ELISA in vitro. Furthermore, the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 3, 2015 · pp. 38–42 Read article
-
Unveiling Actionable Pathogenic Genes for Precision Oncology in Brain Cancers: Glioblastoma and Astrocytoma
Abstract: Glioblastoma (GBM) and astrocytoma are aggressive primary brain tumors characterized by significant molecular heterogeneity, complicating effective treatment. This study employed targeted next-generation sequencing of 529 cancer-associated genes on matched tumor-normal pairs from GBM and astrocytoma patients. Somatic variants were identified using a rigorous bioinformatic pipeline adhering to GATK Best Practices, with variant allele frequencies (VAF) calculated to assess clonal dominance. Functional annotation and driver mutation classification were performed using Ensemble …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 43–59 Read article
-
Integrative Structural-Functional Genomics of Fc and Fab: Precision Models for Monoclonal Antibody Stability and Anti-Aggregation Engineering
Abstract: Monoclonal antibodies (mAbs) represent the cornerstone of biotherapeutics, yet aggregation propensity compromises up to 50% of candidates during development, driven by Fab hypervariability and Fc vulnerabilities.(1,2) This review integrates functional genomics from OAS (4B+ sequences)(5) and structural databases (SAbDab: 10K+ structures)(6) with machine learning models achieving R=0.97 for SAP prediction.(11) We dissect biophysical mechanisms, benchmark predictive tools (DeepSP, ESM2), and engineering strategies (YTE, FW mutations) that enhance Tm by 5-10°C …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
-
Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
-
In silico Analysis of nsSNPs in the Human ACTN4 Gene associated with a Steroid-Resistant Nephrotic Syndrome
Abstract: The main motive of this study is to discover nsSNPs of ACTN4 gene through various insilico views. ACTN4 is one of the proteins that play a leading role in cellular pathways by altering cytoskeletal behaviour associated with steroid-resistant nephrotic syndrome. Data of ACTN4 was collected from NCBI dbSNP and Uniport KB and further used to explore adverse outcome using SIFT, PolyPhen, PROVEAN and SNAP2.Out of 11 nsSNPs selected in this …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 43s–52s Read article
-
Pharmacoepigenomics of Replication Timing: How Anti- Cancer Drugs Reshape Chromatin Domains and Mutational Landscapes.
Abstract: DNA replication timing serves as a fundamental epigenetic feature that organizes genome function during the cell cycle (3), while anti-cancer drugs profoundly alter this process to disrupt tumor growth(4). These agents target chromatin architecture, shifting replication domains and reshaping mutational patterns critical for cancer evolution (1,5). DNA replication timing (RT) domains serve as dynamic epigenetic organizers, partitioning the genome into early- and late-replicating regions that correlate with chromatin states, gene …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 · pp. 41–50 Read article
-
Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
-
In Silico Exploration of Podophyllum Hexandrum-Derived Phytocompounds as Potential Therapeutics Against Small Cell Lung Cancer (SCLC): A Molecular Docking Approach
Abstract: Small Cell Lung Cancer (SCLC) is a fast-growing and aggressive type of lung cancer that spreads quickly strongly associated with smoking. It is characterized by symptoms, such as persistent cough, breathing difficulties, or hoarseness, though it can sometimes be asymptomatic which makes early detection challenging. The tumor suppressor gene TP53 is critical in regulating the cell cycle and preventing uncontrolled cell division. Mutations in TP53 result in the loss of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
-
Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
-
First Insights into Whole Genome Sequencing of the Mycobacterium tuberculosis Complex: Molecular Diversity and Drug Susceptibility Patterns in Senegal
Abstract: Background: We conducted a bibliographic analysis of the Mycobacterium tuberculosis complex (MTBC) in sub-Saharan Africa, which included the analysis of 8,139 genomic sequences from 34 of the 49 sub-Saharan African countries. Notably, only one complete sequence from Senegal was identified, which had been generated in the United States. Our primary objective was to utilize whole genome sequencing (WGS) to detect resistance in anti-tuberculous strains of the MTBC in Senegal. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–14 Read article
-
Uncommon Occurrence of Gastric Adenocarcinoma Occurring in a Patient with Common Variable Immunodeficiency Syndrome
Abstract: Common variable immunodeficiency (CVID) belongs to the diagnostic category of primary immunodeficiency (PID). They are characterized by a heterogeneous group of disorders that include recurrent infections, autoimmunity, granulomatous diseases and malignancies. The incidence of malignancy in CVID patients is around 1.5–20.7% and usually occurs during the 4th–6th decade of life. Non-hodgkin lymphoma is the most frequent malignancy, followed by epithelial tumors of stomach, breast, bladder and cervix. Patients with CVID …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 1, 2018 · pp. 16–20 Read article
-
Comprehensive In silico Analysis of Single Nucleotide Polymorphisms (SNPs) in Human BDNF Gene
Abstract: Since a number of single nucleotide polymorphisms (SNPs) are associated with the BDNF gene mutations involved in different diseases. Hence, it is important to find out the probable functional SNPs before planning a larger population study. So, to look out for the functional nsSNPs (non-synonymous single nucleotide polymorphisms) in BDNF gene, existing data present in the dbSNP database and different bioinformatics tools like SIFT, PolyPhen, nsSNPAnalyzer, F-SNP, I-mutant, Pymol were …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 3, 2018 · pp. 128–139 Read article
-
Viral Chronicles: The Ever-Evolving Saga of COVID-19
Abstract: Coronaviruses, belonging to the family of RNA viruses, have recently captured global attention owing to their remarkable ability to infect a diverse array of species, ranging from animals to humans. These viral agents, recognized by their characteristic crown-like morphology when observed through electron microscopy, have a historical association with zoonotic diseases. Previous examples include Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrome Coronavirus (MERS-CoV). The term "Corona" …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 16–25 Read article
-
Precision Medicine for Neurofibromatosis Type 1: Progress and Prospects in Drug Discovery
Abstract: Objective: The development of neurofibromas, café-au-lait spots, and other neurological problems are the hallmarks of neurofibromatosis type 1 (NF1), a hereditary disorder. The dearth of efficacious pharmaceutical therapies underscores the need for novel therapeutic approaches, even in the face of clinical variability. Through very accurate prediction of the binding affinity of possible therapeutic drugs with the target protein, the computational technique known as “molecular docking” has become a potent tool …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 01–15 Read article
-
A Review on Advances in Personalized Medicine: from Genomics to Clinical Applications
Abstract: Personalised medicine, also known as precision medicine, is a revolutionary approach to healthcare that customises medical interventions and treatments for individual patients according to their distinct genetic, environmental, and lifestyle properties. The basic pillar of personalised medicine is genomics, and the area has seen an explosion of genetic information with the advent of high-throughput sequencing tools. Genomic data now provide unprecedented insights into the underlying genetic variations, mutations, and genetic …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 10, Issue 2, 2023 · pp. 13–17 Read article
-
DETECTION OF LUNG CANCER USING SOFT COMPUTING TECHNIQUES
Abstract: Cancer is a generic term that can affect any part of the body. Most cancers, 90%-95%, are because by environmental and lifestyle variables which cause genetic mutations. Inherited genetics account for 5% to 10% of the total. Early identification of lung cancer has improved patient survival and has been a vital study topic. It starts within the cells covering the bronchi and lung parts like bronchioles or alveoli. Due to …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 1–12 Read article