Journal of Chemical Theory and Computation

Papers
(The H4-Index of Journal of Chemical Theory and Computation is 50. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
gmx_MMPBSA: A New Tool to Perform End-State Free Energy Calculations with GROMACS976
OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space797
Robust and Efficient Implicit Solvation Model for Fast Semiempirical Methods248
Nudged Elastic Band Method for Molecular Reactions Using Energy-Weighted Springs Combined with Eigenvector Following167
Accelerating AutoDock4 with GPUs and Gradient-Based Local Search156
Simulation of FUS Protein Condensates with an Adapted Coarse-Grained Model143
Lipid21: Complex Lipid Membrane Simulations with AMBER127
TorchMD: A Deep Learning Framework for Molecular Simulations125
Efficient Exploration of Chemical Space with Docking and Deep Learning114
Bottom-up Coarse-Graining: Principles and Perspectives114
Benchmarking TD-DFT and Wave Function Methods for Oscillator Strengths and Excited-State Dipole Moments99
Machine Learning in QM/MM Molecular Dynamics Simulations of Condensed-Phase Systems91
PyLipID: A Python Package for Analysis of Protein–Lipid Interactions from Molecular Dynamics Simulations90
Revisiting the Performance of Time-Dependent Density Functional Theory for Electronic Excitations: Assessment of 43 Popular and Recently Developed Functionals from Rungs One to Four90
The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry87
Development and Benchmarking of Open Force Field v1.0.0—the Parsley Small-Molecule Force Field86
Assessing Density Functional Theory for Chemically Relevant Open-Shell Transition Metal Reactions85
Improving Martini 3 for Disordered and Multidomain Proteins84
CRYSTAL23: A Program for Computational Solid State Physics and Chemistry82
CHARMM-GUI Nanomaterial Modeler for Modeling and Simulation of Nanomaterial Systems77
CHARMM-GUI Polymer Builder for Modeling and Simulation of Synthetic Polymers76
Fast and Accurate Machine Learning Strategy for Calculating Partial Atomic Charges in Metal–Organic Frameworks75
Time-Dependent Long-Range-Corrected Double-Hybrid Density Functionals with Spin-Component and Spin-Opposite Scaling: A Comprehensive Analysis of Singlet–Singlet and Singlet–Triplet Excitation Energies71
Reference Energies for Intramolecular Charge-Transfer Excitations70
Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein–Ligand Binding68
Machine-Learning-Assisted Free Energy Simulation of Solution-Phase and Enzyme Reactions67
TURBOMOLE: Today and Tomorrow67
CG2AT2: an Enhanced Fragment-Based Approach for Serial Multi-scale Molecular Dynamics Simulations67
Single-Point Hessian Calculations for Improved Vibrational Frequencies and Rigid-Rotor-Harmonic-Oscillator Thermodynamics67
Structure, Dynamics, Receptor Binding, and Antibody Binding of the Fully Glycosylated Full-Length SARS-CoV-2 Spike Protein in a Viral Membrane66
Linear Atomic Cluster Expansion Force Fields for Organic Molecules: Beyond RMSE65
Consistent Force Field Captures Homologue-Resolved HP1 Phase Separation64
Extension of the CL&Pol Polarizable Force Field to Electrolytes, Protic Ionic Liquids, and Deep Eutectic Solvents63
Cubic-Scaling All-Electron GW Calculations with a Separable Density-Fitting Space–Time Approach61
Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein–Ligand Docking60
LiPyphilic: A Python Toolkit for the Analysis of Lipid Membrane Simulations60
Additive CHARMM36 Force Field for Nonstandard Amino Acids58
Perspective on the Current State-of-the-Art of Quantum Computing for Drug Discovery Applications58
Modeling of Multiresonant Thermally Activated Delayed Fluorescence Emitters─Properly Accounting for Electron Correlation Is Key!57
Automated Molecular Cluster Growing for Explicit Solvation by Efficient Force Field and Tight Binding Methods57
Low-Order Scaling G0W0 by Pair Atomic Density Fitting56
Accurate Biomolecular Structures by the Nano-LEGO Approach: Pick the Bricks and Build Your Geometry55
Scalable Constant pH Molecular Dynamics in GROMACS54
Accurate and Compatible Force Fields for Molecular Oxygen, Nitrogen, and Hydrogen to Simulate Gases, Electrolytes, and Heterogeneous Interfaces54
Benchmarking Magnetizabilities with Recent Density Functionals53
CHARMM36 Lipid Force Field with Explicit Treatment of Long-Range Dispersion: Parametrization and Validation for Phosphatidylethanolamine, Phosphatidylglycerol, and Ether Lipids53
Coarse-Grained Force Fields from the Perspective of Statistical Mechanics: Better Understanding of the Origins of a MARTINI Hangover53
Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/Molecular Mechanical Simulations of Chemical Reactions in Solution53
Quantum Embedding Theory for Strongly Correlated States in Materials52
Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches?51
Epik: pKa and Protonation State Prediction through Machine Learning50
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