David L. Mobley

Orcid: 0000-0002-1083-5533

According to our database1, David L. Mobley authored at least 49 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Current State of Open Source Force Fields in Protein-Ligand Binding Affinity Predictions.
J. Chem. Inf. Model., 2024

Building Block-Centric Approach to DNA-Encoded Library Design.
J. Chem. Inf. Model., 2024

Impact of protein conformations on binding free energy calculations in the beta-secretase 1 system.
J. Comput. Chem., 2024

2023
Building Block-Based Binding Predictions for DNA-Encoded Libraries.
J. Chem. Inf. Model., August, 2023

To Design Scalable Free Energy Perturbation Networks, Optimal Is Not Enough.
J. Chem. Inf. Model., March, 2023

2022
Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale.
J. Chem. Inf. Model., 2022

Pre-Exascale Computing of Protein-Ligand Binding Free Energies with Open Source Software for Drug Design.
J. Chem. Inf. Model., 2022

Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field.
J. Chem. Inf. Model., 2022

SAMPL7 protein-ligand challenge: A community-wide evaluation of computational methods against fragment screening and pose-prediction.
J. Comput. Aided Mol. Des., 2022

Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo.
J. Comput. Aided Mol. Des., 2022

An overview of the SAMPL8 host-guest binding challenge.
J. Comput. Aided Mol. Des., 2022

2021
A Benchmark of Electrostatic Method Performance in Relative Binding Free Energy Calculations.
J. Chem. Inf. Model., 2021

Overview of the SAMPL6 pK<sub>a</sub> challenge: evaluating small molecule microscopic and macroscopic pK<sub>a</sub> predictions.
J. Comput. Aided Mol. Des., 2021

Improving small molecule force fields by identifying and characterizing small molecules with inconsistent parameters.
J. Comput. Aided Mol. Des., 2021

Evaluation of log P, pK<sub>a</sub>, and log D predictions from the SAMPL7 blind challenge.
J. Comput. Aided Mol. Des., 2021

Enhancing water sampling of buried binding sites using nonequilibrium candidate Monte Carlo.
J. Comput. Aided Mol. Des., 2021

Automated high throughput pK<sub>a</sub> and distribution coefficient measurements of pharmaceutical compounds for the SAMPL8 blind prediction challenge.
J. Comput. Aided Mol. Des., 2021

SAMPL7 Host-Guest Challenge Overview: assessing the reliability of polarizable and non-polarizable methods for binding free energy calculations.
J. Comput. Aided Mol. Des., 2021

2020
Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability.
J. Comput. Chem., 2020

D3R Grand Challenge 4: ligand similarity and MM-GBSA-based pose prediction and affinity ranking for BACE-1 inhibitors.
J. Comput. Aided Mol. Des., 2020

The SAMPL6 SAMPLing challenge: assessing the reliability and efficiency of binding free energy calculations.
J. Comput. Aided Mol. Des., 2020

Octanol-water partition coefficient measurements for the SAMPL6 blind prediction challenge.
J. Comput. Aided Mol. Des., 2020

Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge.
J. Comput. Aided Mol. Des., 2020

2019
Assessing the Conformational Equilibrium of Carboxylic Acid via Quantum Mechanical and Molecular Dynamics Studies on Acetic Acid.
J. Chem. Inf. Model., 2019

Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4.
J. Comput. Aided Mol. Des., 2019

2018
Hydration Free Energies in the FreeSolv Database Calculated with Polarized Iterative Hirshfeld Charges.
J. Chem. Inf. Model., 2018

Overview of the SAMPL6 host-guest binding affinity prediction challenge.
J. Comput. Aided Mol. Des., 2018

pK a measurements for the SAMPL6 prediction challenge for a set of kinase inhibitor-like fragments.
J. Comput. Aided Mol. Des., 2018

SAMPL6 challenge results from <sub>a</sub> predictions based on a general Gaussian process model.
J. Comput. Aided Mol. Des., 2018

2017
Overview adcm43.bhtof the SAMPL5 host-guest challenge: Are we doing better?
J. Comput. Aided Mol. Des., 2017

Erratum to: Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset.
J. Comput. Aided Mol. Des., 2017

Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset.
J. Comput. Aided Mol. Des., 2017

2016
Measuring experimental cyclohexane-water distribution coefficients for the SAMPL5 challenge.
J. Comput. Aided Mol. Des., 2016

Blind prediction of cyclohexane-water distribution coefficients from the SAMPL5 challenge.
J. Comput. Aided Mol. Des., 2016

2015
Is Ring Breaking Feasible in Relative Binding Free Energy Calculations?
J. Chem. Inf. Model., 2015

Guidelines for the analysis of free energy calculations.
J. Comput. Aided Mol. Des., 2015

A Python tool to set up relative free energy calculations in GROMACS.
J. Comput. Aided Mol. Des., 2015

A proposal for regularly updated review/survey articles: "Perpetual Reviews".
CoRR, 2015

2014
Interrogating HIV integrase for compounds that bind- a SAMPL challenge.
J. Comput. Aided Mol. Des., 2014

Box size effects are negligible for solvation free energies of neutral solutes.
J. Comput. Aided Mol. Des., 2014

The SAMPL4 host-guest blind prediction challenge: an overview.
J. Comput. Aided Mol. Des., 2014

Blind prediction of solvation free energies from the SAMPL4 challenge.
J. Comput. Aided Mol. Des., 2014

Blind prediction of HIV integrase binding from the SAMPL4 challenge.
J. Comput. Aided Mol. Des., 2014

FreeSolv: a database of experimental and calculated hydration free energies, with input files.
J. Comput. Aided Mol. Des., 2014

2013
Lead optimization mapper: automating free energy calculations for lead optimization.
J. Comput. Aided Mol. Des., 2013

Erratum to: Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.
J. Comput. Aided Mol. Des., 2013

2012
Alchemical prediction of hydration free energies for SAMPL.
J. Comput. Aided Mol. Des., 2012

Let's get honest about sampling.
J. Comput. Aided Mol. Des., 2012

2010
Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.
J. Comput. Aided Mol. Des., 2010


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