scholarly article | Q13442814 |
P50 | author | Benoît Roux | Q4890170 |
Alex MacKerell | Q57907659 | ||
P2093 | author name string | Lei Huang | |
Chetan Rupakheti | |||
Eliot Boulanger | |||
P2860 | cites work | Improving the Prediction of Absolute Solvation Free Energies Using the Next Generation OPLS Force Field | Q40292288 |
CHARMM36m: an improved force field for folded and intrinsically disordered proteins | Q40299880 | ||
Automation of the CHARMM General Force Field (CGenFF) II: assignment of bonded parameters and partial atomic charges. | Q42184293 | ||
Automation of the CHARMM General Force Field (CGenFF) I: bond perception and atom typing. | Q42199119 | ||
Correction to Balanced Protein-Water Interactions Improve Properties of Disordered Proteins and Non-Specific Protein Association | Q42545304 | ||
Improved treatment of the protein backbone in empirical force fields. | Q44735024 | ||
Accuracy of free energies of hydration using CM1 and CM3 atomic charges | Q44927750 | ||
Optimizing solute-water van der Waals interactions to reproduce solvation free energies. | Q46006756 | ||
Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the FreeSolv database | Q46105073 | ||
Comparison of charge models for fixed-charge force fields: small-molecule hydration free energies in explicit solvent. | Q46136993 | ||
Physically-Motivated Force Fields from Symmetry-Adapted Perturbation Theory | Q46374524 | ||
First-principles many-body force fields from the gas phase to liquid: a "universal" approach | Q47787439 | ||
Water Dispersion Interactions Strongly Influence Simulated Structural Properties of Disordered Protein States | Q56873339 | ||
Predictions of the properties of water from first principles | Q79856519 | ||
CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields | Q24632987 | ||
CHARMM: the biomolecular simulation program | Q24658108 | ||
All-atom empirical potential for molecular modeling and dynamics studies of proteins | Q27860468 | ||
Scalable molecular dynamics with NAMD | Q27860718 | ||
FreeSolv: a database of experimental and calculated hydration free energies, with input files | Q28655211 | ||
An Empirical Polarizable Force Field Based on the Classical Drude Oscillator Model: Development History and Recent Applications | Q28834286 | ||
Development and testing of a general amber force field | Q29547642 | ||
Update of the CHARMM all-atom additive force field for lipids: validation on six lipid types | Q29616710 | ||
Automatic atom type and bond type perception in molecular mechanical calculations | Q29616744 | ||
A biomolecular force field based on the free enthalpy of hydration and solvation: the GROMOS force-field parameter sets 53A5 and 53A6 | Q29617517 | ||
Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation | Q29617869 | ||
Alchemical free energy methods for drug discovery: progress and challenges | Q30427576 | ||
Accurate Calculation of Hydration Free Energies using Pair-Specific Lennard-Jones Parameters in the CHARMM Drude Polarizable Force Field | Q30494073 | ||
Current status of the AMOEBA polarizable force field | Q30495924 | ||
Strike a balance: optimization of backbone torsion parameters of AMBER polarizable force field for simulations of proteins and peptides | Q31033889 | ||
Generalized Scalable Multiple Copy Algorithms for Molecular Dynamics Simulations in NAMD. | Q33763745 | ||
Empirical force fields for biological macromolecules: overview and issues. | Q34334583 | ||
Balanced Protein-Water Interactions Improve Properties of Disordered Proteins and Non-Specific Protein Association | Q34503099 | ||
Molecular dynamics simulations of biomolecules | Q34799927 | ||
Computation of Absolute Hydration and Binding Free Energy with Free Energy Perturbation Distributed Replica-Exchange Molecular Dynamics | Q35169470 | ||
Accurate and efficient corrections for missing dispersion interactions in molecular simulations | Q36975952 | ||
Calculating the sensitivity and robustness of binding free energy calculations to force field parameters | Q37149321 | ||
Advances in free-energy-based simulations of protein folding and ligand binding. | Q38698407 | ||
Next-Generation Force Fields from Symmetry-Adapted Perturbation Theory | Q38806091 | ||
Getting the Right Answers for the Right Reasons: Toward Predictive Molecular Simulations of Water with Many-Body Potential Energy Functions | Q38829091 | ||
Small molecule hydration free energies in explicit solvent: An extensive test of fixed-charge atomistic simulations | Q39901298 | ||
Computations of Absolute Solvation Free Energies of Small Molecules Using Explicit and Implicit Solvent Model | Q40272426 | ||
P433 | issue | 6 | |
P304 | page(s) | 3121-3131 | |
P577 | publication date | 2018-05-07 | |
P1433 | published in | Journal of Chemical Theory and Computation | Q1768377 |
P1476 | title | Optimized Lennard-Jones Parameters for Drug-Like Small Molecules | |
P478 | volume | 14 |
Q90295745 | Blinded prediction of protein-ligand binding affinity using Amber thermodynamic integration for the 2018 D3R grand challenge 4 |
Q60920658 | Challenges in the use of atomistic simulations to predict solubilities of drug-like molecules |
Q63915571 | Deriving Force-Field Parameters from First Principles Using a Polarizable and Higher Order Dispersion Model. |
Q113315214 | Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein–Ligand Docking |
Q92373168 | Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields |
Q90582182 | Solvation Free Energy Calculations with Quantum Mechanics/Molecular Mechanics and Machine Learning Models |
Q91962599 | Toward Prediction of Electrostatic Parameters for Force Fields That Explicitly Treat Electronic Polarization |