Journal of Chemical Information and Modeling

Papers
(The H4-Index of Journal of Chemical Information and Modeling is 56. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Issue Editorial Masthead3208
ComNet: A Multiview Deep Learning Model for Predicting Drug Combination Side Effects623
Identifying Protein-Nucleotide Binding Residues via Grouped Multi-task Learning and Pre-trained Protein Language Models522
Peptide-Aware Chemical Language Model Successfully Predicts Membrane Diffusion of Cyclic Peptides226
Active Learning to Select the Most Suitable Reagents and One-Step Organic Chemistry Reactions for Prioritizing Target-Specific Hits from Ultralarge Chemical Spaces193
Toward the Prediction of Binding Events in Very Flexible, Allosteric, Multidomain Proteins172
Molecular Dynamics (MD)-Derived Features for Canonical and Noncanonical Amino Acids158
Predicting and Explaining Yields with Machine Learning for Carboxylated Azoles and Beyond154
Issue Editorial Masthead149
Issue Publication Information139
Microscopic Heterogeneity Driven by Molecular Aggregation and Water Dynamics in Aqueous Osmolyte Solutions139
Enumeration Approach to Atom-to-Atom Mapping Accelerated by Ising Computing121
Classification Model for the Second Extracellular Loop of Class A GPCRs112
Dynamics and Allosteric Information Pathways of Unphosphorylated c-Cbl111
Artificial Intelligence Must Be Made More Scientific107
Large Language Model for Automating the Analysis of Cryoprotectants102
N-Tosyl Hydrazone Benzopyran, a New Ligand of PPARα Obtained from Mapping the Conformational Space of Its Active Site100
Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start99
EC2Vec: A Machine Learning Method to Embed Enzyme Commission (EC) Numbers into Vector Representations96
Natural Language Processing Methods for the Study of Protein–Ligand Interactions93
ProCeSa: Contrast-Enhanced Structure-Aware Network for Thermostability Prediction with Protein Language Models89
Analysis of Binding Modes of Antigen–Antibody Complexes by Molecular Mechanics Calculation87
Identification of Potential Aldose Reductase Inhibitors Using Convolutional Neural Network-Based in Silico Screening86
Ensemble Simulations and Experimental Free Energy Distributions: Evaluation and Characterization of Isoxazole Amides as SMYD3 Inhibitors83
Discovery of Potent Covalent CRM1 Inhibitors Via a Customized Structure-Based Virtual Screening Pipeline and Bioassays81
Predictive Models to Identify Small Molecule Activators and Inhibitors of Opioid Receptors80
Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials79
IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method78
Chemical Library Space: Definition and DNA-Encoded Library Comparison Study Case77
Quaternary Structure Transitions of Human Hemoglobin: An Atomic-Level View of the Functional Intermediate States76
Issue Editorial Masthead76
MolTaut: A Tool for the Rapid Generation of Favorable Tautomer in Aqueous Solution76
De Novo Transmembrane Aggregation of Aβ10–40 Peptides in an Anionic Lipid Bilayer76
Issue Editorial Masthead75
Free-Energy Simulations Support a Lipophilic Binding Route for Melatonin Receptors74
Exploring Aromatic Cage Flexibility Using Cosolvent Molecular Dynamics Simulations─An In-Silico Case Study of Tudor Domains72
Issue Publication Information71
Issue Editorial Masthead69
Issue Editorial Masthead66
Predicting the Binding of Small Molecules to Proteins through Invariant Representation of the Molecular Structure66
Issue Publication Information65
ProPores2: Web Service and Stand-Alone Tool for Identifying, Manipulating, and Visualizing Pores in Protein Structures64
Issue Publication Information63
Issue Publication Information62
Issue Publication Information61
Issue Publication Information61
Issue Publication Information60
Celebrating Diversity, Equity, Inclusion, and Respect in Computational and Theoretical Chemistry60
Issue Publication Information59
Issue Editorial Masthead59
PheSA: An Open-Source Tool for Pharmacophore-Enhanced Shape Alignment58
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology57
Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures57
Quantifying Functional-Group-like Structural Fragments in Molecules and Its Applications in Drug Design56
Correction to “SolTranNet—A Machine Learning Tool for Fast Aqueous Solubility Prediction”56
Correction to “Structural Insights into Characterizing Binding Sites in Epidermal Growth Factor Receptor Kinase Mutants”56
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