activity
20172026
most citedISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors

70 citations · 143 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction

Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi +2

The trade-off between predictive accuracy and data availability makes it difficult to predict protein--protein binding affinity accurately. The lack of experimentally resolved prot…

eess.IV2020★ 4 cited

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

Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people ac…

q-bio.BM2020★ 7 cited

PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb

Accurately determining a change in protein binding affinity upon mutations is important for the discovery and design of novel therapeutics and to assist mutagenesis studies. Determ…

cs.LG2018★ 32 cited

Machine Learning with Abstention for Automated Liver Disease Diagnosis

Kanza Hamid, Amina Asif, Wajid Abbasi +2

This paper presents a novel approach for detection of liver abnormalities in an automated manner using ultrasound images. For this purpose, we have implemented a machine learning m…

cs.LG2017★ 28 cited

Training large margin host-pathogen protein-protein interaction predictors

Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif +1

Detection of protein-protein interactions (PPIs) plays a vital role in molecular biology. Particularly, infections are caused by the interactions of host and pathogen proteins. It…

cs.LG2017★ 2 cited

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications

Amina Asif, Wajid Arshad Abbasi, Farzeen Munir +2

Motivation: A major challenge in the development of machine learning based methods in computational biology is that data may not be accurately labeled due to the time and resources…

q-bio.QM2017★ 70 cited

ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors

Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen +1

Determination of binding affinity of proteins in the formation of protein complexes requires sophisticated, expensive and time-consuming experimentation which can be replaced with…