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An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins

Scientific reports, 2021-07, Vol.11 (1), p.13836-12, Article 13836

2021

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Hydrophobic Interactions Are a Key to MDM2 Inhibition by Polyphenols as Revealed by Molecular Dynamics Simulations and MM/PBSA Free Energy Calculations

PloS one, 2016-02, Vol.11 (2), p.e0149014-e0149014

2016

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Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models

Scientific reports, 2017-04, Vol.7 (1), p.872-12, Article 872

2017

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Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis

Scientific reports, 2020-03, Vol.10 (1), p.5487-5487, Article 5487

2020

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Machine Learning From Molecular Dynamics Trajectories to Predict Caspase-8 Inhibitors Against Alzheimer's Disease

Frontiers in pharmacology, 2019-07, Vol.10, p.780-780

2019

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Author Correction: An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins

Scientific reports, 2021-08, Vol.11 (1), p.16844-16844, Article 16844

2021

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Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins

Journal of translational medicine, 2021-05, Vol.19 (1), p.1-218, Article 218

2021

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Computational models for the prediction of adverse cardiovascular drug reactions

Journal of translational medicine, 2019-05, Vol.17 (1), p.171-171, Article 171

2019

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Long-range replica exchange molecular dynamics guided drug repurposing against tyrosine kinase PtkA of Mycobacterium tuberculosis

Scientific reports, 2020-03, Vol.10 (1), p.4413-4413, Article 4413

2020

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Structural Basis for Drug Resistance Mechanisms Against EGFR

Current topics in medicinal chemistry, 2017-09, Vol.17 (22), p.2509

2017

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Author Correction: Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis

Scientific reports, 2020-09, Vol.10 (1), p.14660-14660, Article 14660

2020

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Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers

PloS one, 2016-09, Vol.11 (9), p.e0083032-e0083032

2016

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Structural investigations on mechanism of lapatinib resistance caused by HER-2 mutants

PloS one, 2018-02, Vol.13 (2), p.e0190942-e0190942

2018

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Alanine mutation of the catalytic sites of Pantothenate Synthetase causes distinct conformational changes in the ATP binding region

Scientific reports, 2018-01, Vol.8 (1), p.903-13, Article 903

2018

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Conformational Ensembles of α-Synuclein Derived Peptide with Different Osmolytes from Temperature Replica Exchange Sampling

Frontiers in neuroscience, 2017-12, Vol.11, p.684

2017

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Teleworking during COVID-19: experiences from Saudi Arabia

Industrial Health, 2022, pp.2022-0041

2023

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Checking the STEP-Associated Trafficking and Internalization of Glutamate Receptors for Reduced Cognitive Deficits: A Machine Learning Approach-Based Cheminformatics Study and Its Application for Drug Repurposing

PloS one, 2015-06, Vol.10 (6), p.e0129370-e0129370

2015

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Teleworking during COVID-19: experiences from Saudi Arabia

Industrial Health, 2023, Vol.61(4), pp.291-303

2023

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Machine Learning and Molecular Dynamics Based Insights into Mode of Actions of Insulin Degrading Enzyme Modulators

Combinatorial chemistry & high throughput screening, 2017-05, Vol.20 (4), p.279

2017

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Predictive Outcome Modeling of Preoperative Clinical Symptoms and Electrodiagnostic Data in Tarsal Tunnel Surgery

Journal of brachial plexus and peripheral nerve injury, 2021-01, Vol.16 (1), p.e37-e45

2021

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Cheminformatics Based Machine Learning Approaches for Assessing Glycolytic Pathway Antagonists of Mycobacterium tuberculosis

Combinatorial chemistry & high throughput screening, 2016-09, Vol.19 (8), p.667

2016

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Computational modeling and bioinformatic analyses of functional mutations in drug target genes in Mycobacterium tuberculosis

Computational and structural biotechnology journal, 2021-01, Vol.19, p.2423-2446

2021

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Computational analysis and predictive modeling of small molecule modulators of microRNA

Journal of cheminformatics, 2012-08, Vol.4 (1), p.16-16, Article 16

2012

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Cheminformatics Models for Inhibitors of Schistosoma mansoni Thioredoxin Glutathione Reductase

TheScientificWorld, 2014, Vol.2014, p.957107-9

2014

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Resisting the Resistance in Cancer: Cheminformatics Studies on Short- Path Base Excision Repair Pathway Antagonists Using Supervised Learning Approaches

Combinatorial chemistry & high throughput screening, 2015-01, Vol.18 (9), p.881

2015

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An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins

Hydrophobic Interactions Are a Key to MDM2 Inhibition by Polyphenols as Revealed by Molecular Dynamics Simulations and MM/PBSA Free Energy Calculations

Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models

Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis

Machine Learning From Molecular Dynamics Trajectories to Predict Caspase-8 Inhibitors Against Alzheimer's Disease

Author Correction: An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins

Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins

Computational models for the prediction of adverse cardiovascular drug reactions

Long-range replica exchange molecular dynamics guided drug repurposing against tyrosine kinase PtkA of Mycobacterium tuberculosis

Structural Basis for Drug Resistance Mechanisms Against EGFR

Author Correction: Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis

Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers

Structural investigations on mechanism of lapatinib resistance caused by HER-2 mutants

Alanine mutation of the catalytic sites of Pantothenate Synthetase causes distinct conformational changes in the ATP binding region

Conformational Ensembles of α-Synuclein Derived Peptide with Different Osmolytes from Temperature Replica Exchange Sampling

Teleworking during COVID-19: experiences from Saudi Arabia

Checking the STEP-Associated Trafficking and Internalization of Glutamate Receptors for Reduced Cognitive Deficits: A Machine Learning Approach-Based Cheminformatics Study and Its Application for Drug Repurposing

Teleworking during COVID-19: experiences from Saudi Arabia

Machine Learning and Molecular Dynamics Based Insights into Mode of Actions of Insulin Degrading Enzyme Modulators

Predictive Outcome Modeling of Preoperative Clinical Symptoms and Electrodiagnostic Data in Tarsal Tunnel Surgery

Cheminformatics Based Machine Learning Approaches for Assessing Glycolytic Pathway Antagonists of Mycobacterium tuberculosis

Computational modeling and bioinformatic analyses of functional mutations in drug target genes in Mycobacterium tuberculosis

Computational analysis and predictive modeling of small molecule modulators of microRNA

Cheminformatics Models for Inhibitors of Schistosoma mansoni Thioredoxin Glutathione Reductase

Resisting the Resistance in Cancer: Cheminformatics Studies on Short- Path Base Excision Repair Pathway Antagonists Using Supervised Learning Approaches

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