Hello and welcome to my personal webpage! I am currently working as a faculty member in the Department of Computer and Information Sciences (DCIS) at the University of AJ&K, Pakistan. I am involved in active research in computer science. Here, you can access information about my research projects.

I graduated with my Ph.D. in Computer Science from Pakistan Institute of Engineering and Applied Sciences (PIEAS) under HEC indigenous PhD Fellowship with Dr. Fayyaz-ul-Amir Afsar Minhas. My academic work lies at the intersection of artificial intelligence and life sciences, with the aim of developing computational tools to solve complex biological problems. My primary area of research is Machine learning in Bioinformatics. I am presently working on the protein-protein interaction prediction studies and design. 

My research seeks to understand molecular interactions, predict protein functions, and uncover insights into host-pathogen interactions using cutting-edge machine learning approaches. He has collaborated internationally, including a research stint at Colorado State University (USA) under HEC’s IRSIP program.

🛠️ Tools Developed

I have developed several open-source and research-grade tools designed to assist the scientific community in predicting molecular interactions and protein functionality:

PANDA
Prediction of Affinity Change upon Mutations using Descriptors of Amino acids
Predicts the change in protein-protein binding affinity caused by mutations using primary sequences.
📎 arXiv link

ISLAND
In-Silico Affinity Learning through Sequence Descriptors
A machine learning tool that estimates protein-protein binding affinity using only amino acid sequence features.
📎 arXiv link

pyLEMMINGS
A Python-based implementation of large-margin multiple instance learning algorithms applied to identify functional regions in protein sequences (e.g., amyloid cores, binding sites).
📎 arXiv link

SIP
S-Adenosyl Methionine Interacting Proteins Predictor
Predicts SAM-interacting proteins and their interaction sites from sequences.
📎 Project page

COVIDX
An AI-based system for automatic diagnosis and severity prediction of COVID-19 using chest X-ray images.
📎 Project page

📚 Research Contributions

I have authored over 30 peer-reviewed publications in high-impact journals and conferences. His work primarily addresses challenges in:

• Protein–protein interaction (PPI) prediction

• Host-pathogen interaction modeling

• Binding affinity estimation

• Disease biomarker discovery

• Application of interpretable machine learning in computational biology
  
  

Selected Publications:

• Abbasi, W.A. et al., Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s Disease, 2024

• Abbasi, W.A. et al., In-Silico Identification of Anti-CRISPR Proteins Using Sequence Descriptors, 2023

• Abbasi, W.A. et al., SIP: Prediction of SAM Interacting Proteins and Their Binding Sites, 2022

• Abbasi, W.A. et al., PANDA: Predicting Protein Binding Affinity Change upon Mutation, 2021

• Abbasi, W.A. et al., ISLAND: Sequence-Based Binding Affinity Prediction, 2020
  
  

Details about my publications, software and previously taught courses are available on this page.

You can also download my detailed resume. 

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