Adrian J. Mulholland

Orcid: 0000-0003-1015-4567

According to our database1, Adrian J. Mulholland authored at least 26 papers between 2006 and 2023.

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Bibliography

2023
Enhancement by pyrazolones of colistin efficacy against mcr-1-expressing E. coli: an in silico and in vitro investigation.
J. Comput. Aided Mol. Des., October, 2023

Bioisosteric Design Identifies Inhibitors of <i>Mycobacterium tuberculosis</i> DNA Gyrase ATPase Activity.
J. Chem. Inf. Model., May, 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.
Int. J. High Perform. Comput. Appl., 2023

2022
Virtual Screening Identifies Novel and Potent Inhibitors of <i>Mycobacterium tuberculosis</i> PknB with Antibacterial Activity.
J. Chem. Inf. Model., 2022

Identification of Potent DNA Gyrase Inhibitors Active against <i>Mycobacterium tuberculosis</i>.
J. Chem. Inf. Model., 2022

QM/MM Molecular Modeling Reveals Mechanism Insights into Flavin Peroxide Formation in Bacterial Luciferase.
J. Chem. Inf. Model., 2022

2021
Multiscale Workflow for Modeling Ligand Complexes of Zinc Metalloproteins.
J. Chem. Inf. Model., 2021

Crystallography and QM/MM Simulations Identify Preferential Binding of Hydrolyzed Carbapenem and Penem Antibiotics to the L1 Metallo-β-Lactamase in the Imine Form.
J. Chem. Inf. Model., 2021

2020
COVID19 - Computational Chemists Meet the Moment.
J. Chem. Inf. Model., 2020

Discovery of New and Potent InhA Inhibitors as Antituberculosis Agents: Structure-Based Virtual Screening Validated by Biological Assays and X-ray Crystallography.
J. Chem. Inf. Model., 2020

Interactive Molecular Dynamics in Virtual Reality Is an Effective Tool for Flexible Substrate and Inhibitor Docking to the SARS-CoV-2 Main Protease.
J. Chem. Inf. Model., 2020

A Community Letter Regarding Sharing Biomolecular Simulation Data for COVID-19.
J. Chem. Inf. Model., 2020

Electronic structure benchmark calculations of CO2 fixing elementary chemical steps in RuBisCO using the projector-based embedding approach.
J. Comput. Chem., 2020

Biomolecular Simulations in the Time of COVID-19, and After.
Comput. Sci. Eng., 2020

2019
BioSimSpace: An interoperable Python framework for biomolecular simulation.
J. Open Source Softw., 2019

Limitations of Ligand-Only Approaches for Predicting the Reactivity of Covalent Inhibitors.
J. Chem. Inf. Model., 2019

Projector-Based Embedding Eliminates Density Functional Dependence for QM/MM Calculations of Reactions in Enzymes and Solution.
J. Chem. Inf. Model., 2019

Simulations of Shikimate Dehydrogenase from Mycobacterium tuberculosis in Complex with 3-Dehydroshikimate and NADPH Suggest Strategies for MtbSDH Inhibition.
J. Chem. Inf. Model., 2019

An Efficient Computational Assay for β-Lactam Antibiotic Breakdown by Class A β-Lactamases.
J. Chem. Inf. Model., 2019

Visualizing protein-ligand binding with chemical energy-wise decomposition (CHEWD): application to ligand binding in the kallikrein-8 S1 Site.
J. Comput. Aided Mol. Des., 2019

An open-source multi-person virtual reality framework for interactive molecular dynamics: from quantum chemistry to drug binding.
CoRR, 2019

2018
Sampling molecular conformations and dynamics in a multi-user virtual reality framework.
CoRR, 2018

2017
Identification of the quinolinedione inhibitor binding site in Cdc25 phosphatase B through docking and molecular dynamics simulations.
J. Comput. Aided Mol. Des., 2017

2014
A Multiscale Approach to Modelling Drug Metabolism by Membrane-Bound Cytochrome P450 Enzymes.
PLoS Comput. Biol., 2014

2011
Comment on "A stationary-wave model of enzyme catalysis" by Carlo Canepa.
J. Comput. Chem., 2011

2006
QM/MM modeling of compound I active species in cytochrome P450, cytochrome C peroxidase, and ascorbate peroxidase.
J. Comput. Chem., 2006


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