ISLAND: in-silico proteins binding affinity prediction using sequence information. - Wajid Arshad Abbasi; Adiba Yaseen; Fahad Ul Hassan; Saiqa Andleeb; Fayyaz ul Amir Afsar Minhas (BioData Min., 2020)

PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information. - Wajid Arshad Abbasi; Syed Ali Abbas; Saiqa Andleeb (CoRR, 2020)

COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images. - Wajid Arshad Abbasi; Syed Ali Abbas; Saiqa Andleeb (CoRR, 2020)

PANDA: Predicting the change in proteins binding affinity upon mutations by finding a signal in primary structures. - Wajid Arshad Abbasi; Syed Ali Abbas; Saiqa Andleeb (J. Bioinform. Comput. Biol., 2021)

SIP: A computational prediction of S-Adenosyl methionine (SAM) interacting proteins and their interaction sites through primary structures. - Wajid Arshad Abbasi; Syeda Adin Ajaz; Kinza Arshad; Sidra Liaqat; Saiqa Andleeb; Maryum Bibi; Syed Ali Abbas (Comput. Biol. Chem., 2022)

COYOTE: Sequence-derived structural descriptors-based computational identification of glycoproteins. - Wajid Arshad Abbasi; Asma Anjam; Sadia Khalil; Saiqa Andleeb; Maryum Bibi; Syed Ali Abbas (J. Bioinform. Comput. Biol., 2022)

COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans. - Wajid Arshad Abbasi; Syed Ali Abbas; Saiqa Andleeb; Maryum Bibi; Fiaz Majeed; Abdul Jaleel; Muhammad Naveed Akhtar (Quant. Biol., 2022)

An In-Silico Identification of Anti-CRISPR Proteins by Using Descriptors Derived from the Primary Structures. - Sidra Liaqat; Saiqa Andleeb; Maryum Bibi; Wajid Arshad Abbasi (FIT, 2023)

Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer's. - Sadia Khalil; Wajid Arshad Abbasi; Syed Ali Abbas; Maryum Bibi; Saiqa Andleeb; Amsa Shabir (Appl. Comput. Intell. Soft Comput., 2024)