Search Results for author: Abdul Majid

Found 5 papers, 0 papers with code

Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach

no code implementations25 May 2023 Imra Aqeel, Abdul Majid

In this study, we joint the molecular docking with machine learning regression approaches to find some prospective therapeutic candidates for COVID-19 treatment.

Molecular Docking regression

Early Risk Prediction of Chronic Myeloid Leukemia with Protein Sequences using Machine Learning-based Meta-Ensemble

no code implementations8 Feb 2023 Madiha Hameed, Muhammad Bilal, Tuba Majid, Abdul Majid, Asifullah Khan

In the study, we developed a multi-layer-perception-based meta-ensemble system using protein amino acid sequences for early risk prediction of CML.

Hybrid Approach to Identify Druglikeness Leading Compounds against COVID-19 3CL Protease

no code implementations3 Aug 2022 Imra Aqeel, Abdul Majid

In the next step, the efficacy of bioactive molecules is computed in terms of binding affinity using molecular docking and then shortlisted six bioactive molecules with ChEMBL IDs 187460, 222769, 225515, 358279, 363535, and 365134.

Molecular Docking

Drug Repurposing For SARS-COV-2 Using Molecular Docking

no code implementations2 Jun 2022 Imra Aqeel, Abdul Majid, Muhammad Ismail, Hina Bashir

Recent advancement in technologies and the availability of the data of genomics, proteomics, transcriptomics, etc., and with the accessibility of large and reliable database resources, there are abundantly of opportunities to discover drugs by drug repurposing in an efficient manner.

Molecular Docking

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