Mutasem O. Taha

According to our database, Mutasem O. Taha authored at least 16 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Correction to: Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study.

Nour Jamal Jaradat, Mámon M. Hatmal, Dana Alqudah, Mutasem Omar Taha

J. Comput. Aided Mol. Des., December, 2023

Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study.

Nour Jamal Jaradat, Mámon M. Hatmal, Dana Alqudah, Mutasem Omar Taha

J. Comput. Aided Mol. Des., December, 2023

2022

Exploiting activity cliffs for building pharmacophore models and comparison with other pharmacophore generation methods: sphingosine kinase 1 as case study.

Lubabah A. Mousa, Mámon M. Hatmal, Mutasem O. Taha

J. Comput. Aided Mol. Des., 2022

2018

Combining Stochastic Deformation/Relaxation and Intermolecular Contacts Analysis for Extracting Pharmacophores from Ligand-Receptor Complexes.

Mámon M. Hatmal, Mutasem O. Taha

J. Chem. Inf. Model., 2018

Discovery of new Gyrase β inhibitors via structure based modeling.

Afaf H. Al-Nadaf, Sajeda A. Salah, Mutasem O. Taha

Comput. Biol. Chem., 2018

2017

Ligand-based computational modelling of platelet-derived growth factor beta receptor leading to new angiogenesis inhibitory leads.

Rua'a A. Al-Aqtash, Malek A. Zihlif, Hana Hammad, Zeyad D. Nassar, Jehad Al Meliti, Mutasem O. Taha

Comput. Biol. Chem., 2017

2016

Combining molecular dynamics simulation and ligand-receptor contacts analysis as a new approach for pharmacophore modeling: beta-secretase 1 and check point kinase 1 as case studies.

Mámon M. Hatmal, Shadi Jaber, Mutasem O. Taha

J. Comput. Aided Mol. Des., 2016

2015

Combining docking-based comparative intermolecular contacts analysis and k-nearest neighbor correlation for the discovery of new check point kinase 1 inhibitors.

Nour Jamal Jaradat, Mohammad A. Khanfar, Maha Habash, Mutasem Omar Taha

J. Comput. Aided Mol. Des., 2015

2014

The use of docking-based comparative intermolecular contacts analysis to identify optimal docking conditions within glucokinase and to discover of new GK activators.

Mutasem O. Taha, Maha Habash, Mohammad A. Khanfar

J. Comput. Aided Mol. Des., 2014

2013

Elaborate Ligand-Based Modeling Coupled with Multiple Linear Regression and k Nearest Neighbor QSAR Analyses Unveiled New Nanomolar mTOR Inhibitors.

Mohammad A. Khanfar, Mutasem O. Taha

J. Chem. Inf. Model., 2013

Elaborate ligand-based modeling coupled with QSAR analysis and in silico screening reveal new potent acetylcholinesterase inhibitors.

Sawsan Abuhamdah, Maha Habash, Mutasem O. Taha

J. Comput. Aided Mol. Des., 2013

2012

Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.

Rand Shahin, Saja AlQtaishat, Mutasem O. Taha

J. Comput. Aided Mol. Des., 2012

2011

Docking-Based Comparative Intermolecular Contacts Analysis as New 3-D QSAR Concept for Validating Docking Studies and in Silico Screening: NMT and GP Inhibitors as Case Studies.

Mutasem O. Taha, Maha Habash, Zeina Al-Hadidi, Amal Al-Bakri, Khaled Younis, Suhaib Sisan

J. Chem. Inf. Model., 2011

Discovery of new beta-D-galactosidase inhibitors via pharmacophore modeling and QSAR analysis followed by <i>in silico</i> screening.

Ahmed Mutanabbi Abdula, Reema Abu Khalaf, Mohammad S. Mubarak, Mutasem O. Taha

J. Comput. Chem., 2011

2010

Elaborate Ligand-Based Modeling Reveals New Nanomolar Heat Shock Protein 90α Inhibitors.

Mahmoud A. Al-Sha'er, Mutasem O. Taha

J. Chem. Inf. Model., 2010

2009

Pharmacophore Modeling, Quantitative Structure-Activity Relationship Analysis, and Shape-Complemented <i>in Silico</i> Screening Allow Access to Novel Influenza Neuraminidase Inhibitors.

Areej M. Abu Hammad, Mutasem O. Taha

J. Chem. Inf. Model., 2009