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Bioinformatics: Recent submissions

Now showing items 61-80 of 159

Expression Profiling and Pathway Analysis of Long Non-Coding RNAs as drivers of Alzheimer’s Disease Pathology

Maqsood, Mahwish (SINES-NUST., 2023-08-17)

Alzheimer’s disease is a progressive multi-factorial neurodegenerative disease characterized by cognitive decline and synaptic loss and is one of the most prominent healthcare challenges of this century. Technology ...
Machine Learning Approach to Predict hERG Inhibition Potential of New Chemical Entities

Khan, Umair (SINES NUST., 2023-08-14)

Human Ether a-go-go related gene (hERG) or KCNH2 encodes for the potassium channel Kv11.1, which expressed at the cardiac myocites are responsible for the conductance of K+1 ions for the normal cardiac action potential. ...
Deciphering the Role of Gamma-amino butyric Acid in Epilepsy; A Multiscale Approach Using Formal Modeling and Verification

Fazeel, Ahtisham (RCMS NUST, 2019-08-01)

Background: Epileptic seizures are known since 2000 B.C., having a high prevalence rate, are portrayed by anomalous function of brain and neurons. High throughput sequencing has made data available for the analysis of ...
Using Machine Learning Algorithms to predict Sepsis and its stages in ICU patients

Ghias, Nimrah (RCMS NUST, 2022-01-12)

Sepsis is blood poisoning disease that occurs when body shows dysregulated host response to an infection and cause organ failure or tissue damage which may increase the mortality rate in ICU patients. As it becomes major ...
2D, 3D-QSAR and Docking studies on inhibitors of IR and IGF-1R: Exploration of binding mode at Tyrosine Kinase Domain

Pasha, Mustafa Kamal (RCMS NUST, 2016-06-28)

Insulin like growth factor-1 receptor (IGF-1R) along with highly homologous insulin receptor IR is integral component of cell proliferation, growth and survival and apoptosis protection. However, overexpression of IGF-1R ...
MOLPPO - Molecular Optimization through Deep Reinforcement Learning

Navid, Ahmad (SINES NUST., 2022-07-01)

With the rise of computational methods in medicine, there has been several important breakthroughs. Virtual screening, molecular docking and molecular dynamics simulations have revolutionized the field of drug design ...
MODELLING AND SIMULATION OF BROADLY NEUTRALIZING MULTISPECIFIC ANTIBODIES FOR HIV-1

MINAHS, WASEEQ AHMAD (SINES-NUST., 2022-08-05)

Human Immunodeficiency Virus (HIV) is a deadly virus that causes a life-threatening disease called HIV infection in humans, which can progress to a more stern condition known as Acquired Immunodeficiency Syndrome (AIDS). ...
3D Structure Prediction and Structural Stability Profiling of Cub-Mutated iRhom2

Khalid, Aqsa (SINES NUST, 2021-07-10)

The iRhoms are part of the rhomboid family, highly conserved among all sequenced metazoans. However, they are known as pseudoproteases as they lack vital amino acid residues required for the catalysis of serine proteases. ...
Computational Modeling and Analysis of Non-Small Cell Lung Cancer (NSCLC) Pathway using Static Analysis Approach to Identify Potential Biomarkers and Drug Targets

Hayat, Yawar (RCMS NUST, 2018-10-02)

Latterly, a vital prototype shift has been manifested in the management of non-small cell lung Cancer (NSCLC). Owing to the fact that NSCLC could be sub-categorized on the basis of its physiological morphology along with ...
RNA-Seq Analysis of Regulatory Mechanism of COVID-19 Patients for Elucidating Therapeutics

Ahmad, Uruba (SINES NUST, 2022-07-28)

A new coronavirus that has spread quickly around the world is what is causing the Coronavirus Disease 2019 (COVID-19) pandemic., inflicting a significant threat to human health by inflicting a wide variety of health ...
Comparison of EBV associated Nasopharyngeal cancers for the identification of therapeutic targets and modification of existing therapies

Humayun, Maleeha (SINES NUST, 2022-09-28)

The Epstein-Barr Virus (EBV), commonly known as human herpesvirus 4, belongs to the herpes virus family. More than 90% of the total human population is affected EBV, making it one of the most widely spread virus. Several ...
Structure Based Approaches to Probe Binding Hypothesis of Mutant p53 Modulators

Fazal, Mahjabeen (RCMS NUST, 2019-03-11)

p53 is a tumor suppressor gene that is involved in normal cell growth and perform its normal physiological function by responding to DNA damage via activation of DNA repair genes thus, inducing apoptosis and in turns ...
Integrated Structure- and Ligand-Based Pharmacoinformatic Protocol for the Modulation of Monoamine Oxidase B (MAO-B) in Parkinson’s disease

Qadeer, Rahma (RCMS NUST, 2019-11-06)

Oxidative stress is a phenomenon associated with various neurodegenerative diseases. Death of dopaminergic neurons in the substantia nigra is a major implication of Parkinson disease which occurs as a consequence of oxidative ...
Comparative Analysis of Microarray and Next Generation Sequencing Data of Down’s Syndrome for the Identification of Therapeutic Targets

Arshad, Iqra (RCMS NUST, 2020-12-12)

Down’s syndrome is the most common genetic aberration with the frequency of one in 700 live births worldwide. The most alarming situation for the patients with Down’s syndrome is the presence of accompanying neurological, ...
Functional Analysis of Differentially Expressed Genes Associated with the Conditions of Polycystic Ovary Syndrome and Endometrial Cancer

MUNAWAR, SONIA (RCMS NUST, 2020-09-01)

Polycystic ovary syndrome is a metabolic and endocrinal disorder common in women of reproductive age and has led to infertility prevailing across the world. The prevalence of PCOS is 33% worldwide. PCOS can also lead to ...
Computational Modeling of coronary blood flow in 3D: An insight into the mechanical environment of atherosclerosis; using Image based FE – Modeling and Fluid Structure Interaction (FSI).

FAROOQ, NABISHA (RCMS NUST, 2018-10-12)

Coronary heart disease (CHD) is characterized by the narrowing of coronary arteries and is one of the leading causes of death in today’s century. The main cause of CHD is atherosclerosis jots down to the deposition of fat, ...
Next Generation Sequencing Analysis of Clear Cell Renal Cell Carcinoma and its Comparison with Meta-analysis of Microarray

Hashmi, Mirrah (RCMS NUST, 2021-03-05)

Clear cell renal cell carcinoma (ccRCC) is the most predominant sub type of Renal cell carcinoma and accounts for about 75-80% of all kidney malignancies. Although extensive studies have been carried out for identifying ...
Rhomboid domain containing 2 (RHBDD2): A Potential Biomarker of Sepsis and Septic Shock

Ali, Arslan (RCMS NUST, 2020-05-12)

Sepsis is a serious health situation caused by uncontrolled infection and septic shock is a severe condition of sepsis. Both conditions lead to multi-organ failure and may eventually cause death. Studies have listed it ...
Pharmacoinformatics Approaches to Probe Current Paradigm Shift in Hypercholesterolemia

Naeem, Sahar (RCMS NUST, 2019-04-07)

Statins (hydroxymethyl-glutaryl coenzyme A reductase inhibitors) is well known for its activity to reduce “bad” low density lipoprotein (LDL) cholesterol concentrations and cardiovascular risk. Therefore, Statins therapy ...
Identification of Common Potential Therapeutic Targets associated with the progression and prognosis of six Aggressive subtypes of Non-Hodgkin’s Lymphoma using RNA-Seq Analysis and Inhibiting them through Molecular Docking

Chaudary, Rida Ayub (SINES NUST, 2022-10-01)

Non hodgkin’s Lymphoma(NHL) is the top most prevalent hematological malignancies constituting a diverse classification of Bcell and T-cell proliferation. It is the eleventh most prevalent disease around the world with a ...

Now showing items 61-80 of 159

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