• Annotating the genomic variants in Next Generation Sequencing data through computational approach 

  Noureen, Mehwish (Research Centre for Modeling and Simulation, (RCMS), 2016)

  Next Generation Sequencing (NGS) has made possible the parallel analysis of sequencing data. Different NGS platforms are generating huge amount of data. This data undergoes different analysis pipeline depending upon the ...
• Generative AI-driven Antibody Design and Optimization: A Transformers Paradigm 

  Safeer, Amman ((School of Interdisciplinary Engineering and Sciences(SINES),NUST,, 2025)

  The human immune system generates high-affinity antibodies against pathogens and diseases. These antibodies serve as key therapeutic and diagnostic tools for disease classification and treatment. Traditional approaches ...
• Combine ligand and structure based methodologies to probe stereo-selectivity of CYP3A4 inhibitors 

  Mukhtar, Sadia (Research Centre for Modeling and Simulation, (RCMS), 2015)

  Cytochrome P450 (CYP-P450) enzymes play critical role in the metabolic processes of the body. These microsomal proteins are involved in the breakdown and detoxification of various xenobiotics, nutrients and clinically ...
• Analyzing Implications of Pandemics Like Covid-19 On ASD Children & Dealing Strategies: A Case Study 

  Amir, Ayesha ((School of Interdisciplinary Engineering and Sciences(SINES)NUST,, 2024)

  Autism Spectrum Disorder (ASD) is a neurological disorder marked by difficulties with social interaction, repetitive behavioral patterns, and constrained hobbies and interests. This lifelong disorder begins in early childhood ...
• Binding prediction of drugs and machine learning analysis of putative compounds 

  Rasheed, Jaweria ((School of Interdisciplinary Engineering and Sciences(SINES),NUST,, 2024)

  Kinases are one of the many enzymes that are absolutely essential for the regulation of cell division and in the performance of so many actions in the cell. They are implicated with many diseases, most notably cancer, ...
• AI-Guided Gut Microbiome Profiling for the Diagnostics of Neurological Disorders 

  Wasim, Arisha ((School of Interdisciplinary Engineering and Sciences(SINES), 2024)

  The gut microbiome is a complex ecosystem of microorganisms that reside in the gastrointestinal tract (GIT). The interaction between the gut microbiota and the brain is often called the microbiota/gut-brain axis, which ...
• Integrated Biological Regulatory Network and Molecular Modeling Pipeline for the Target Fishing and Therapeutic Intervention against Diabetes Type II 

  Chaudhary, Muqadas ((School of Interdisciplinary Engineering and Sciences(SINES), 2024)

  Genetics factors in general play an important role in the development of diabetes. Several studies have linked the various gene mutations with development of type 2 diabetes. These gene mutations along with environment ...
• Advancing Antibody Development: An Investigation into Improved Classification and Prediction of Antibody-Antigen Binding Affinities Using AI Approaches 

  Nisar, Adeel ((School of Interdisciplinary Engineering and Sciences, (SINES)., 2024)

  The effective use of antibodies in personalized medicine hinges on their ability to bind strongly and specifically to their target antigens. This binding capability is critical for designing precise and successful ...
• Combined Molecular and Machine Learning Models to Probe the Activation Potential of ACE2 in Pulmonary Arterial Hypertension (PAH) 

  Tariq, Amna ((School of Interdisciplinary Engineering and Sciences, (SINES), 2024)

  Pulmonary Arterial Hypertension (PAH) is a severe cardiovascular disorder, characterized by high blood pressure. Untreated PAH can lead to heart failure and disrupt lung functions. Many recent studies have suggested that ...
• Investigating the Influence of Multilingual Humour on Stress Reduction after Inducing with TSST: An EGG Study 

  Malik, Maria Ilyas ((School of Interdisciplinary Engineering and Sciences, (SINES),, 2024)

  One of the major health issues is mental stress which often begins at a minor level and gradually builds up pressure, ultimately leading to stress. Electroencephalogram is a non-invasive method that evaluates the workings ...
• Enhancing Driver Drowsiness Detection: A Compact and Interpretable LSTM Model with Attention Mechanism for Cross-Subject EEG Analysis 

  Ariba, Ariba Abbasi ((School of Interdisciplinary Engineering and Sciences, (SINES), 2024)

  Driver drowsiness is a significant contributor to road accidents, leading to numerous fatalities and hazards globally. Electroencephalography (EEG) has become a reliable physiological signal for identifying drowsiness ...
• Antigen-aware Deep Learning Model for Antibody Sequence Generation. 

  Rafique, Muhammad Inam ((School of Interdisciplinary Engineering and Sciences, (SINES)., 2024)

  Advancements in artificial intelligence over the last decade have transformed numerous fields, including biotechnology. Recent developments in deep learning (DL) have led to the creation of models capable of generating ...
• Protein-Protein Interaction Analysis of Human Amniotic Membrane and Bone Cartilage for Cartilage Repair using Computational Techniques 

  Urwa, Urwa Til Wusqa ((School of Interdisciplinary Engineering and Sciences, (SINES),, 2024)

  Human Amniotic Membrane (HAM) is emerging as a promising regenerative medicine treatment, particularly for bone and cartilage regeneration. HAM, derived from the placenta—a tissue that is frequently discarded after ...
• Probing the Role of Calcium Signaling in Huntington’s Disease (HD) 

  Tariq, Minahil ((School of Interdisciplinary Engineering and Sciences, (SINES), 2024)

  Huntington’s disease (HD) is a neurodegenerative disorder, caused by the expansion of CAG repeats in the Huntingtin gene. Many recent studies have suggested that calcium dyshomeostasis is a one of the major causative ...
• Molecular Modeling and Machine Learning Guided Target Fishing and Therapeutic Interventions against Cardiovascular Diseases 

  Azhar, Rida (School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), 2024)

  Cardiovascular Disease (CVD) is a major global health issue, with thrombosis, or blood clot formation, as a key factor. A disintegrin-like and metalloproteinase with thrombospondin type 1 repeats 13 (ADAMTS13), a protease ...
• Investigation of Heterogeneity of Autoimmune Diseases with Single Cell Analysis and Integration of Machine Learning 

  Sajjad, Iqra ((School of Interdisciplinary Engineering and Sciences, (SINES)., 2024)

  Autoimmune diseases are diverse conditions with complicated pathologies that show heterogeneity at the cellular level, affecting people of all ages with unidentified trigger factors associated with their development. ...
• CAR Architecture Optimization Using Strategical Motif Combinations and Predictive Modeling. 

  E Noor, Zill (School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), 2024)

  CAR T cell therapy has emerged as a promising approach for treating various forms of cancer. Despite its success, the effectiveness of CAR T cell therapy can be influenced by the specific configurations of signaling ...
• Deciphering Breast Cancer Complexity: Harnessing Spatial Transcriptomics and AI for Personalized Therapeutic Strategies 

  Iman, Ayesha (School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), 2024)

  Breast Cancer, particularly Triple-Negative Breast Cancer (TNBC), remains a formidable challenge due to its aggressive nature, lack of targeted therapies, and poor prognosis. This research addresses the critical need ...
• Development of Machine Learning Disease Prediction Model to Analyse the Gut Metagenome in Disease and Control Samples 

  Parveen, Haleema (School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST), 2024)

  Gut metagenome refers to the genetic material of microorganisms living in the intestine. Bacterial relative abundance may provide valuable insights into the role of dysbiosis in different diseases. Considering the ...
• Integrated Single cell analysis and Machine learning for Precision Diagnosis in Human Papillomavirus-Associated cancers 

  Uzair, Muhammad (School of Interdisciplinary Engineering and Sciences(SINES), National University of Sciences and Technology (NUST), 2024)

  Human papillomavirus is a sexually transmitted infectious virus, that affects the skin, genital area, throat, and other body parts. Human Papillomavirus infection causes global health problems. It causes various types ...

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