Wiley Interdisciplinary Reviews-Computational Molecular Science

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Computational Molecular Science is 5. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
3080
Issue Information239
Quantitative analysis of high‐throughput biological data206
Time‐dependent coupled‐cluster theory179
157
Two decades of Martini: Better beads, broader scope127
Theoretical Studies of Molecular Reactions at the Air–Water Interface: Recent Progress and Perspective101
Recent advances in deep learning for retrosynthesis96
Small molecule superposition: A comprehensive overview on pose scoring of the latest methods96
Issue Information66
Cover Image, Volume 12, Issue 566
Using machine‐learning‐driven approaches to boost hot‐spot's knowledge57
Issue Information55
UniversalQM/MMapproaches for general nanoscale applications53
Cover Image, Volume 12, Issue 148
Computation of Time‐Resolved Nonlinear Electronic Spectra From Classical Trajectories42
42
The repetitive local sampling and the local distribution theory41
Computational methods for unlocking the secrets of potassium channels: Structure, mechanism, and drug design39
Superconducting ternary hydrides under high pressure36
Building Nucleosome Positioning Maps: Discovering Hidden Gems34
Advanced quantum and semiclassical methods for simulating photoinduced molecular dynamics and spectroscopy34
Deciphering the mechanical properties of B‐DNA duplex33
Enhanced sampling strategies for molecular simulation of DNA31
31
A promising intersection of excited‐state‐specific methods from quantum chemistry and quantum Monte Carlo30
The hierarchy of Davydov's Ansätze and its applications29
Enhancing GPU‐Acceleration in the Python‐Based Simulations of Chemistry Frameworks29
Graph neural networks for conditional de novo drug design29
28
Variational determination of the two‐electron reduced density matrix: A tutorial review27
Cover Image, Volume 15, Issue 227
Pre‐exascale HPC approaches for molecular dynamics simulations. Covid‐19 research: A use case26
From Perception to Prediction and Interpretation: Enlightening the Gray Zone of Molecular Bricks of Life With the Help of Machine Learning and Quantum Chemistry25
Application of computational approaches in biomembranes: From structure to function25
Issue Information25
Condensed‐Phase Quantum Chemistry25
24
Machine learning solutions for predicting protein–protein interactions24
The kth nearest neighbor method for estimation of entropy changes from molecular ensembles23
23
Machine Learning Transition State Geometries and Applications in Reaction Property Prediction23
Ab Initio Vibrational Spectroscopy of Water and Aqueous Solutions in a Wide Pressure–Temperature Range23
Issue Information22
Enhancing Molecular Dynamics Simulations of Electrical Double Layers: From Simplified to Realistic Models20
Chemical transformations and transport phenomena at interfaces19
AQME: Automated quantum mechanical environments for researchers and educators19
How to strike a conformational balance in protein force fields for molecular dynamics simulations?19
Theoretical Investigation of Singlet Fission Processes in Organic Photovoltaics18
Multireference Coupled‐Cluster Theory: The Internally Contracted Route18
A Journey With THeSeuSS: Automated Python Tool for Modeling IR and Raman Vibrational Spectra of Molecules and Solids18
Strategies for Redesigning Withdrawn Drugs to Enhance Therapeutic Efficacy and Safety: A Review18
18
Issue Information18
ChemTSv2: Functional molecular design using de novo molecule generator17
Density functional theory calculations of large systems: Interplay between fragments, observables, and computational complexity17
Multiscale computations and artificial intelligent models of electrochemical performance in Li‐ion battery materials16
Integrating Materials Representations Into Feature Engineering in Machine Learning for Crystalline Materials: From Local to Global Chemistry‐Structure Information Coupling15
Issue Information15
Software update: The ORCA program system—Version 5.015
Advances and Challenges of SCAN and r2SCAN Density Functionals in Transition‐Metal Compounds15
Free and open source software for computational chemistry education14
Mechanistic aspects of thiol additions to Michael acceptors: Insights from computations14
Computational protein design with data‐driven approaches: Recent developments and perspectives14
Rational drug design targeting intrinsically disordered proteins13
Structure–function relationship of long noncoding RNAs: Advances and challenges13
Ab Initio Approaches to Simulate Molecular Polaritons and Quantum Dynamics13
The hindered rotor theory: A review13
Rational design of catalysts with earth‐abundant elements13
12
Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis12
Computational Bioprospecting of Enzymes12
HEOMQUICK2: A general‐purpose simulator for fermionic many‐body open quantum systems—An update12
Vibrational spectroscopy by means of first‐principles molecular dynamics simulations12
Cover Image, Volume 13, Issue 112
Perspective: Simultaneous treatment of relativity, correlation, and QED12
Modern chemical graph theory12
Molecular Simulations of Fluid Interfaces12
Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry11
Cover Image, Volume 15, Issue 211
Wielding the power of interactive molecular simulations10
Multiscale molecular simulations to investigate adenylyl cyclase‐based signaling in the brain10
Insight Into the Dynamic Active Sites and Catalytic Mechanism for CO2 Hydrogenation Reaction10
Time‐Dependent Vibrational Coupled Cluster Theory With Static and Dynamic Basis Functions10
10
Issue Information10
Design of molecularly imprinted polymers (MIP) using computational methods: A review of strategies and approaches10
Efficient and enhanced sampling of drug‐like chemical space for virtual screening and molecular design using modern machine learning methods9
Cover Image, Volume 13, Issue 59
9
Quantum chemical modeling of organic enhanced atmospheric nucleation: A critical review9
Rational Proteolysis Targeting Chimera Design Driven by Molecular Modeling and Machine Learning9
A unified molecular‐wide and electron density based concept of chemical bonding9
The computational molecular technology for complex reaction systems: The Red Moon approach8
Computational insights into the rational design of organic electrode materials for metal ion batteries8
Issue Information8
libwfa: Wavefunction analysis tools for excited and open‐shell electronic states8
Density functionals based on the mathematical structure of the strong‐interaction limit of DFT8
A review on computational modeling of instability and degradation issues of halide perovskite photovoltaic materials7
7
Cover Image, Volume 12, Issue 47
Recent advances in computational studies on voltage‐gated sodium channels: Drug design and mechanism studies7
Issue Information7
7
Software Update: The ORCA Program System—Version 6.07
Issue Information7
Cover Image, Volume 12, Issue 66
Molecular dynamics simulations of nucleosomes are coming of age6
Embedded Many‐Body Green's Function Methods for Electronic Excitations in Complex Molecular Systems6
Catalyst design within asymmetric organocatalysis6
Subsystem density‐functional theory (update)6
Combining machine‐learning and molecular‐modeling methods for drug‐target affinity predictions6
Issue Information6
Diffusion models in protein structure and docking6
Nonequilibrium Dynamics at Cellular Interfaces: Insights From Simulation and Theory6
Molecular simulation approaches to study crystal nucleation from solutions: Theoretical considerations and computational challenges5
5
Structures and electronic properties of functional molecules on metal substrates: From single molecule to self‐assemblies5
Delocalization error: The greatest outstanding challenge in density‐functional theory5
Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies5
Cover Image, Volume 12, Issue 45
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