Publications

My publications on Google Scholar.

Here you can find my publons profile.

Here is the link to my ORCID profile. 

Latest Pre-prints

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb, “COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images”, arXiv preprint, 2021, arXiv:2012.13605. (Paper)

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb, “PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information”, arXiv preprint, 2020, arXiv:2009.08869. (Paper)

Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, Fayyaz Ul Amir Afsar Minhas. “ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors.” arXiv:1711.0540, November 22, 2017. (Paper)

Asif, Amina, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, and Fayyaz ul Amir Afsar Minhas. “pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.” arXiv:1711.04913 [Cs, Stat], November 13, 2017. (Paper)

Basit, Abdul Hannan, Wajid Arshad Abbasi, Amina Asif, and Fayyaz Ul Amir Afsar Minhas. “Training Large Margin Host-Pathogen Protein-Protein Interaction Predictors.” arXiv:1711.07886 [Cs, Q-Bio, Stat], November 21, 2017. (Paper)

Journal Publications

Sadia Khalil, Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi, Saiqa Andleeb, Amsa Shabir, “Extreme Gradient Boosting Beats In‐Silico Identification of Proteins Potentially Associated With Alzheimer’s”, Applied Computational Intelligence and Soft Computing, 7914178, 20234, 10.1155/2024/7914178. (Paper)(software)

Sidrah Liaqat, Saiqa Andleeb, Maryum Bibi, Wajid Arshad Abbasi, “An In-Silico Identification of Anti-CRISPR Proteins by Using Descriptors Derived from the Primary Structures”, Frontiers of Information Technology (FIT), 49-54, 2023, 10.1109/FIT60620.2023.00019. (Paper)

Wajid Arshad Abbasi, Syeda Adin Ajaz, Kinza Arshad, Sidra Liaqat, Saiqa Andleeb, Maryum Bibi, Syed Ali Abbas, “SIP: A computational prediction of S-Adenosyl methionine (SAM) interacting proteins and their interaction sites through primary structures”, Computational Biology and Chemistry, 98, 2022, 10.1016/j.compbiolchem.2022.107662. (Paper)(software)

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb, “PANDA: Predicting the change in proteins binding affinity upon mutations by finding a signal in primary structures”, Journal of Bioinformatics and Computational Biology, 19:04, 2021, 10.1142/S0219720021500153. (Paper)(software)

Saiqa Andleeb, Wajid Arshad Abbasi, Rozina Ghulam Mustafa, Ghafoor ul Islam, Anum Naseer, Irsa Shafique, Asma Parween, Bushra Shaheen, Muhamad Shafiq, Muhammad Altaf, Syed Ali Abbas, “ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy”, PloS ONE, 16:09, 2021, 1371/journal.pone.0255674. (Paper)(software)

Wajid Arshad Abbasi, Adiba Yaseen, Fahad Ul Hassan, Saiqa Andleeb, Fayyaz Ul Amir Afsar Minhas, “ISLAND: In-silico prediction of proteins binding affinity using sequence information”, BioData Mining, 13:20, 2020, 10.1186/s13040-020-00231-w. (Paper)(software)

Syed Ali Abbas, AA Mir, AU Rehman, Wajid Arshad Abbasi, S Arif, Z Hassan, “K-means and K-medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir”, IEEE Access, 2020, 8, 10.1109/ACCESS.2020.3014. 

Hira Kamal, Fayyaz Ul Amir Afsar Minhas, Diwaker Tripathi, Wajid Arshad Abbasi, Muhammad Hamza, Roma Mustafa, Muhammad Zuhaib Khan, Shahid Mansoor, Hanu R. Pappu, Imran Amin, βC1, pathogenicity determinant encoded by Cotton leaf curl Multan betasatellite, interacts with calmodulin-like protein 11 (Gh-CML11) in Gossypium hirsutum, PLoS ONE(2019), 14(12), e0225876.

Wajid  Arshad Abbasi, Amina Asif, Asa Ben-Hur and Fayyaz ul Amir Afsar Minhas, "Learning protein binding affinity using privileged information", BMC Bioinformatics (2018) doi: 10.1186/s12859-018-2448-z. (Paper)(software)

Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull and Fayyaz ul Amir Afsar Minhas, "Training host-pathogen protein–protein interaction predictors" , Journal of Bioinformatics and Computational Biology, Vol. 16, No. 04, 1850014 (2018). (Paper)(software)

Wajid Arshad Abbasi, Amina Asif, Saiqa Andleeb, and Fayyaz ul Amir Afsar Minhas, "CaMELS: In silico Prediction of Calmodulin Binding Proteins and their Binding Sites", Proteins: Structure, Function and Bioinformatics, 2017. (Paper)(software) 

Wajid A. Abbasi and Fayyaz Minhas, "Issues In Performance Evaluation for Host-Pathogen Protein Interaction Prediction", Journal of Bioinformatics and Computational Biology, vol. 14, no. 3, 1650011, January 2016. (more details) (more details (on github)) 

Conference Papers

Kanza Hamid, Amina Asif, Wajid A. Abbasi, Durre Sabih and Fayyaz Minhas, Machine learning with abstention for automated liver disease diagnosis, in proc. 15th International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan.(Paper) 

Protein Binding Affinity Prediction Using Support Vector Regression and Interfacial Features, Adiba Yaseen, Wajid A. Abbasi and Fayyaz Minhas in proc. 14th IEEE International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 9-13 Jan. 2017.(Paper) 

In Silico Prediction of Calmodulin Interactions, by Wajid Abbasi and Fayyaz Minhas, in proc. 3rd National Computational Science Conference (NCSC 2015), Institute of Space Technology, Islamabad, Pakistan (presentation only). 

Presentations in Conferences, Seminars & Workshops

Research Reports and thesis