Journal of Chemical Information and Modeling

Papers
(The TQCC of Journal of Chemical Information and Modeling is 10. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds3393
Do Go Chasing Waterfalls: Enoyl Reductase (FabI) in Complex with Inhibitors Stabilizes the Tetrameric Structure and Opens Water Channels698
Quantum Chemical Characterization of Rotamerism in Thio-Michael Additions for Targeted Covalent Inhibitors525
Targeting the JAK/STAT Pathway: A Combined Ligand- and Target-Based Approach239
Impact of Phosphorylation on the Physiological Form of Human alpha-Synuclein in Aqueous Solution195
Lipid Oxidation: Role of Membrane Phase-Separated Domains175
Improved Prediction of Ligand–Protein Binding Affinities by Meta-modeling167
ProtChat: An AI Multi-Agent for Automated Protein Analysis Leveraging GPT-4 and Protein Language Model164
Identification of Small-Molecule Antagonists Targeting the Growth Hormone Releasing Hormone Receptor (GHRHR)158
Pliability in the m6A-Binding Region Extends Druggability of YTH Domains147
Hysteresis Elimination for an Anisotropic Liquid-Crystal Model via Molecule Design and Replica-Exchange Optimization124
TFRegNCI: Interpretable Noncovalent Interaction Correction Multimodal Based on Transformer Encoder Fusion118
Accurately Computing the Interacted Volume of Molecules over Their 3D Mesh Models116
GENERA: A Combined Genetic/Deep-Learning Algorithm for Multiobjective Target-Oriented De Novo Design115
molli: A General Purpose Python Toolkit for Combinatorial Small Molecule Library Generation, Manipulation, and Feature Extraction106
Explainable Graph Neural Networks with Data Augmentation for Predicting pKa of C–H Acids103
SSIPTools: Software and Methodology for Surface Site Interaction Point (SSIP) Approach and Applications102
Variability of the DNA Backbone Geometry in DNA–Protein Complexes: Experimental Data Analysis102
PoSSuM v.3: A Major Expansion of the PoSSuM Database for Finding Similar Binding Sites of Proteins97
Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method93
Global Analysis of Heme Proteins Elucidates the Correlation between Heme Distortion and the Heme-Binding Pocket91
Tree-Invent: A Novel Multipurpose Molecular Generative Model Constrained with a Topological Tree90
Streamlining NMR Chemical Shift Predictions for Intrinsically Disordered Proteins: Design of Ensembles with Dimensionality Reduction and Clustering89
CHARMM36 All-Atom Gas Model for Lipid Nanobubble Simulation88
De Novo Design of Molecules with Multiaction Potential from Differential Gene Expression using Variational Autoencoder86
Defending Antiviral Cationic Amphiphilic Drugs That May Cause Drug-Induced Phospholipidosis85
HSQC Spectra Simulation and Matching for Molecular Identification81
Identification of Potential Aldose Reductase Inhibitors Using Convolutional Neural Network-Based in Silico Screening80
Boosting the Accuracy and Chemical Space Coverage of the Detection of Small Colloidal Aggregating Molecules Using the BAD Molecule Filter80
Issue Publication Information79
The Often-Overlooked Power of Summary Statistics in Exploratory Data Analysis: Comparison of Pattern Recognition Entropy (PRE) to Other Summary Statistics and Introduction of Divided Spectrum-PRE (DS-79
Issue Publication Information77
Diffusion Models in De Novo Drug Design77
Transmembrane Protease Serine 2 Proteolytic Cleavage of the SARS-CoV-2 Spike Protein: A Mechanistic Quantum Mechanics/Molecular Mechanics Study to Inspire the Design of New Drugs To Fight the COVID-1975
Microscopic Heterogeneity Driven by Molecular Aggregation and Water Dynamics in Aqueous Osmolyte Solutions71
Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation69
Large Language Model for Automating the Analysis of Cryoprotectants69
Improved Structure-Based Histidine pKa Prediction for pH-Responsive Protein Design68
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design68
Structure–Function Analysis of Resistance to Bamlanivimab by SARS-CoV-2 Variants Kappa, Delta, and Lambda68
CHARMM-GUI Ligand Designer for Template-Based Virtual Ligand Design in a Binding Site67
Natural Language Processing Methods for the Study of Protein–Ligand Interactions66
Issue Publication Information65
Issue Editorial Masthead64
Knowledge Graph-Based Approaches to Drug Repurposing for COVID-1963
Predicting the Binding of Small Molecules to Proteins through Invariant Representation of the Molecular Structure63
Mechanistic Modeling of Lys745 Sulfonylation in EGFR C797S Reveals Chemical Determinants for Inhibitor Activity and Discriminates Reversible from Irreversible Agents63
Correction to “Structural Insights into Characterizing Binding Sites in Epidermal Growth Factor Receptor Kinase Mutants”63
Elucidation of Cryptic and Allosteric Pockets within the SARS-CoV-2 Main Protease61
AI-Accelerated Design of Targeted Covalent Inhibitors for SARS-CoV-260
Similarities and Differences in Ligand Binding to Protein and RNA Targets: The Case of Riboflavin60
DeePMD-GNN: A DeePMD-kit Plugin for External Graph Neural Network Potentials59
E2EATP: Fast and High-Accuracy Protein–ATP Binding Residue Prediction via Protein Language Model Embedding59
Analysis of Binding Modes of Antigen–Antibody Complexes by Molecular Mechanics Calculation58
Exploring Aromatic Cage Flexibility Using Cosolvent Molecular Dynamics Simulations─An In-Silico Case Study of Tudor Domains58
Quantum Descriptors for Predicting and Understanding the Structure–Activity Relationships of Michael Acceptor Warheads58
Discovery and Validation of the Binding Poses of Allosteric Fragment Hits to Protein Tyrosine Phosphatase 1b: From Molecular Dynamics Simulations to X-ray Crystallography57
Can Pretrained Models Really Learn Better Molecular Representations for AI-Aided Drug Discovery?56
QM/MM Study of the Metabolic Oxidation of 6′,7′-Dihydroxybergamottin Catalyzed by Human CYP3A4: Preferential Formation of the γ-Ketoenal Product in Mechanism-Based Inactivation56
Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models55
From Black Boxes to Actionable Insights: A Perspective on Explainable Artificial Intelligence for Scientific Discovery55
Revealing the Formation Dynamics of Janus Polymer Particles: Insights from Experiments and Molecular Dynamics55
Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures55
Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs54
Pore Structure Compartmentalization for Advanced Characterization of Metal–Organic Framework Materials54
Cyclosporin A: Conformational Complexity and Chameleonicity54
Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses54
Machine Learning and Structural Dynamics-Based Approach to Reveal Molecular Mechanism of PTEN Missense Mutations Shared by Cancer and Autism Spectrum Disorder52
QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning Approach51
Introducing SpaceGA: A Search Tool to Accelerate Large Virtual Screenings of Combinatorial Libraries51
Bioactive Natural Products Identification Using Automation of Molecular Networking Software51
Determination of Hydrogen Bonds in GROMACS: A New Implementation to Overcome Memory Limitation51
Kinetic Barrier to Enzyme Inhibition Is Manipulated by Dynamical Local Interactions in E. coli DHFR50
Unraveling the Influence of Osmolytes on Water Hydrogen-Bond Network: From Local Structure to Graph Theory Analysis49
Screening and Biological Evaluation of Soluble Epoxide Hydrolase Inhibitors: Assessing the Role of Hydrophobicity in the Pharmacophore-Guided Search of Novel Hits49
VMD as a Platform for Interactive Small Molecule Preparation and Visualization in Quantum and Classical Simulations49
Integrated Approach to Identify Selective PTP1B Inhibitors Targeting the Allosteric Site49
Evaluation of Open-Source Large Language Models for Metal–Organic Frameworks Research48
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology48
Hybrid QM/MM Free-Energy Evaluation of Drug-Resistant Mutational Effect on the Binding of an Inhibitor Indinavir to HIV-1 Protease48
Exploration, Representation, and Rationalization of the Conformational Phase Space of N-Glycans47
Molecular Dynamics (MD)-Derived Features for Canonical and Noncanonical Amino Acids47
Characterization of Type I/II g-C3N4/MoS2 van der Waals Heterostructures: A New Theoretical Insight47
Can Protein Structure Prediction Methods Capture Alternative Conformations of Membrane Transporters?47
Spatially Resolved Uncertainties for Machine Learning Potentials47
Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations46
Machine Learning Modeling and Insights into the Structural Characteristics of Drug-Induced Neurotoxicity46
Mechanisms and Opportunities for Rational In Silico Design of Enzymes to Degrade Per- and Polyfluoroalkyl Substances (PFAS)46
Pathfinder─Navigating and Analyzing Chemical Reaction Networks with an Efficient Graph-Based Approach45
Predicting the Likelihood of Molecules to Act as Modulators of Protein–Protein Interactions44
Issue Editorial Masthead44
Atomic-Level View of the Functional Transition in Vertebrate Hemoglobins: The Case of Antarctic Fish Hbs43
Issue Publication Information43
Correction to Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set43
Identification of Small-Molecule Inhibitors for Enterovirus A71 IRES by Structure-Based Virtual Screening42
Locating Multiple Transition Pathways for Complex Biomolecules42
Computational Prediction of ω-Transaminase Specificity by a Combination of Docking and Molecular Dynamics Simulations41
Automated Construction of Neural Network Potential Energy Surface: The Enhanced Self-Organizing Incremental Neural Network Deep Potential Method41
Rational Design of Nonbonded Point Charge Models for Divalent Metal Cations with Lennard-Jones 12-6 Potential41
Multiple Interactions of Glucose with the Extra-Membranous Loops of GLUT1 Aid Transport41
PolyConstruct: Adapting Biomolecular Simulation Pipelines for Polymers with PolyBuild, PolyConf, and PolyTop41
ProBiS-Dock: A Hybrid Multitemplate Homology Flexible Docking Algorithm Enabled by Protein Binding Site Comparison41
Knowledge-Based Artificial Intelligence System for Drug Prioritization41
Recent Advances in the Modeling of Ionic Liquids Using Artificial Neural Networks40
Hybrid Diffusion Model for Stable, Affinity-Driven, Receptor-Aware Peptide Generation40
Catalyst Design and Feature Engineering to Improve Selectivity and Reactivity in Two Simultaneous Cross-Coupling Reactions40
SARS-CoV-2 Spike Protein Mutations and Escape from Antibodies: A Computational Model of Epitope Loss in Variants of Concern40
Immobilization of Cellulase Enzymes on Single-Walled Carbon Nanotubes for Recycling of Enzymes and Better Yield of Bioethanol Using Computer Simulations40
Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries40
Interaction of Radiopharmaceuticals with Somatostatin Receptor 2 Revealed by Molecular Dynamics Simulations39
RPI-EDLCN: An Ensemble Deep Learning Framework Based on Capsule Network for ncRNA–Protein Interaction Prediction39
Interpreting Neural Network Models for Toxicity Prediction by Extracting Learned Chemical Features38
Perturbation Free-Energy Toolkit: An Automated Alchemical Topology Builder38
On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction38
Identification of New Carbonic Anhydrase VII Inhibitors by Structure-Based Virtual Screening38
Hybrid Machine Learning and Experimental Studies of Antiviral Potential of Ionic Liquids against P100, MS2, and Phi638
xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning38
MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery38
Correction to “Physics-Informed Deep Learning Approach for Reintroducing Atomic Detail in Coarse-Grained Configurations of Multiple Poly(lactic acid) Stereoisomers”37
Molecular Determinants of EphA2 and EphB2 Antagonism Enable the Design of Ligands with Improved Selectivity37
Martignac: Computational Workflows for Reproducible, Traceable, and Composable Coarse-Grained Martini Simulations37
Molecular Basis of the Substrate Specificity of Phosphotriesterase from Pseudomonas diminuta: A Combined QM/MM MD and Electron Density Study37
Atomic Polarizabilities for Interactive Dipole Induction Models37
Study on the Assembly Mechanisms and Transport Properties of Transmembrane End-Charged Cyclic Peptide Nanotubes37
Sequential Contrastive and Deep Learning Models to Identify Selective Butyrylcholinesterase Inhibitors37
DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening37
Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments36
Allosteric Modulation of Membrane Proteins by Small Low-Affinity Ligands36
KnoMol: A Knowledge-Enhanced Graph Transformer for Molecular Property Prediction36
ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein–DNA Interaction Hotspots36
Virtual Screening in the Cloud Identifies Potent and Selective ROS1 Kinase Inhibitors36
First-Principles Modeling of Protein/Surface Interactions. Polyglycine Secondary Structure Adsorption on the TiO2 (101) Anatase Surface Adopting a Full Periodic Approach35
Computational Study on the Catalytic Mechanism of UstD Catalyzing the Synthesis of γ-Hydroxy-α-Amino Acids35
SDBA: Score Domain-Based Attention for DNA N4-Methylcytosine Site Prediction from Multiperspectives35
Holo Protein Conformation Generation from Apo Structures by Ligand Binding Site Refinement35
The Use of Glycan Ensemble Structures and Nonpolar Surface Area Distributions for Correlating with Liquid Chromatography Retention Times35
Recognition Mechanisms between a Nanobody and Disordered Epitopes of the Human Prion Protein: An Integrative Molecular Dynamics Study35
PPDock: Pocket Prediction-Based Protein–Ligand Blind Docking35
Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation35
Scoring Conformational Metastability of Macrocyclic Peptides with Binding Pose Metadynamics34
Correction to “XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties”34
MMPD-DTA: Integrating Multi-Modal Deep Learning with Pocket-Drug Graphs for Drug-Target Binding Affinity Prediction34
Special Issue on Reaction Informatics and Chemical Space34
Can Focusing on One Deep Learning Architecture Improve Fault Diagnosis Performance?34
Toward Compilation of Balanced Protein Stability Data Sets: Flattening the ΔΔG Curve through Systematic Enrichment34
BNM-CDGNN: Batch Normalization Multilayer Perceptron Crystal Distance Graph Neural Network for Excellent-Performance Crystal Property Prediction33
CHARMM-GUI-Based Induced Fit Docking Workflow to Generate Reliable Protein–Ligand Binding Modes33
QM/MM Study of Human Transketolase: Thiamine Diphosphate Activation Mechanism and Complete Catalytic Cycle33
OpticalBERT and OpticalTable-SQA: Text- and Table-Based Language Models for the Optical-Materials Domain32
LISTER: Semiautomatic Metadata Extraction from Annotated Experiment Documentation in eLabFTW32
ChatGPT Combining Machine Learning for the Prediction of Nanozyme Catalytic Types and Activities32
Internal Normal Mode Analysis Applied to RNA Flexibility and Conformational Changes32
Promiscuity and Quantitative Contribution of UGT2B17 in Drug and Steroid Metabolism Determined by Experimental and Computational Approaches32
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity32
Community Reaction Network Reduction for Constructing a Coarse-Grained Representation of Combustion Reaction Mechanisms32
Evaluation of AlphaFold2 Structures for Hit Identification across Multiple Scenarios32
RLSynC: Offline–Online Reinforcement Learning for Synthon Completion32
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions31
EKGDR: An End-to-End Knowledge Graph-Based Method for Computational Drug Repurposing31
De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models31
Discovery of P2Y2 Receptor Antagonist Scaffolds through Virtual High-Throughput Screening31
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs31
Augmented Reality, a Review of a Way to Represent and Manipulate 3D Chemical Structures31
HergSPred: Accurate Classification of hERG Blockers/Nonblockers with Machine-Learning Models31
af3cli: Streamlining AlphaFold3 Input Preparation31
E46K Mutation of α-Synuclein Preorganizes the Intramolecular Interactions Crucial for Aggregation31
Unified Deep Learning Model for Multitask Reaction Predictions with Explanation31
Large Language Models as Tools for Molecular Toxicity Prediction: AI Insights into Cardiotoxicity30
Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches30
Computationally Designed ACE2 Decoy Receptor Binds SARS-CoV-2 Spike (S) Protein with Tight Nanomolar Affinity30
KUTE: Green–Kubo Uncertainty-Based Transport Coefficient Estimator30
Insights on Rigidity and Flexibility at the Global and Local Levels of Protein Structures and Their Roles in Homologous Psychrophilic, Mesophilic, and Thermophilic Proteins: A Computational Study30
CPPCGM: A Highly Efficient Sequence-Based Tool for Simultaneously Identifying and Generating Cell-Penetrating Peptides30
Integrative Computational Analysis of Common EXO5 Haplotypes: Impact on Protein Dynamics, Genome Stability, and Cancer Progression29
Synergistic Effects of Natural Compounds Toward Inhibition of SARS-CoV-2 3CL Protease29
SEEKR2: Versatile Multiscale Milestoning Utilizing the OpenMM Molecular Dynamics Engine29
Dissociation Pathways of the p53 DNA Binding Domain from DNA and Critical Roles of Key Residues Elucidated by dPaCS-MD/MSM29
Discovery of New Estrogen-Related Receptor α Agonists via a Combination Strategy Based on Shape Screening and Ensemble Docking29
Molecular Mechanisms of Diverse Activation Stimulated by Different Biased Agonists for the β2-Adrenergic Receptor29
Multiscale Modeling of Phosphate···π Contacts in RNA U-Turns Exposes Differences between Quantum-Chemical and AMBER Force Field Descriptions29
All-Atom Simulations Uncover Structural and Dynamical Properties of STING Proteins in the Membrane System29
Kick–Fukui: A Fukui Function-Guided Method for Molecular Structure Prediction29
Transcriptionally Conditional Recurrent Neural Network for De Novo Drug Design29
Umbrella Sampling Simulations Measure Switch Peptide Binding and Hydrophobic Patch Opening Free Energies in Cardiac Troponin29
Clustering of Synthetic Routes Using Tree Edit Distance28
Large-Scale Modeling of Sparse Protein Kinase Activity Data28
Ring Repeating Unit: An Upgraded Structure Representation of Linear Condensation Polymers for Property Prediction28
Alchemical Free Energy Calculations to Investigate Protein–Protein Interactions: the Case of the CDC42/PAK1 Complex28
Activity Regulation and Conformation Response of Janus Kinase 3 Mediated by Phosphorylation: Exploration from Correlation Network Analysis and Markov Model28
All-Atom Membrane Builder via Multiscale Simulation28
De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites28
Large-Scale Distributed Training of Transformers for Chemical Fingerprinting28
NesT-NABind: a Nested Transformer for Nucleic Acid-Binding Site Prediction on Protein Surface28
ACGCN: Graph Convolutional Networks for Activity Cliff Prediction between Matched Molecular Pairs28
Spodium Bonds in Biological Systems: Expanding the Role of Zn in Protein Structure and Function28
Hit Identification Driven by Combining Artificial Intelligence and Computational Chemistry Methods: A PI5P4K-β Case Study27
Validating Small-Molecule Force Fields for Macrocyclic Compounds Using NMR Data in Different Solvents27
Autobench V1.0: Benchmarking Automation for Electronic Structure Calculations27
Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors27
Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios27
Modeling the Structure–Activity Relationship of Arbidol Derivatives and Other SARS-CoV-2 Fusion Inhibitors Targeting the S2 Segment of the Spike Protein27
SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning27
OpenMKM: An Open-Source C++ Multiscale Modeling Simulator for Homogeneous and Heterogeneous Catalytic Reactions27
Fast Prediction of Lipophilicity of Organofluorine Molecules: Deep Learning-Derived Polarity Characters and Experimental Tests27
Structure-Based Identification of Naphthoquinones and Derivatives as Novel Inhibitors of Main Protease Mpro and Papain-like Protease PLpro of SARS-CoV-227
Preventing AI From Creating Biochemical Threats27
Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics on CPUs and GPUs27
Molecular Modeling and Simulation of the Peptidoglycan Layer of Gram-Positive Bacteria Staphylococcus aureus26
Exploring the Global Reaction Coordinate for Retinal Photoisomerization: A Graph Theory-Based Machine Learning Approach26
Investigating Ligand-Mediated Conformational Dynamics of Pre-miR21: A Machine-Learning-Aided Enhanced Sampling Study26
ReactionDataExtractor 2.0: A Deep Learning Approach for Data Extraction from Chemical Reaction Schemes26
Exploring the Potential of Adaptive, Local Machine Learning in Comparison to the Prediction Performance of Global Models: A Case Study from Bayer’s Caco-2 Permeability Database26
BEMM-GEN: A Toolkit for Generating a Biomolecular Environment-Mimicking Model for Molecular Dynamics Simulation26
Identification of a Cryptic Binding Site in CRISPR-Cas9 for Targeted Inhibition26
Issue Publication Information26
SEVI Inhibits Aβ Amyloid Aggregation by Capping the β-Sheet Elongation Edges26
Equivariant Graph-Representation-Based Actor–Critic Reinforcement Learning for Nanoparticle Design26
AI-Driven Discovery of SARS-CoV-2 Main Protease Fragment-like Inhibitors with Antiviral Activity In Vitro26
Bound Phospholipids Assist Cholesteryl Ester Transfer in the Cholesteryl Ester Transfer Protein26
Multimillion Atom Simulations of Di-8-ANEPPS Chromophores Embedded in a Model Plasma Membrane: Toward the Investigation of Realistic Dyed Cell Membranes25
Molecular Insights into the Calcium Binding in Troponin C through a Molecular Dynamics Study25
Size Matters: A Computational Study of Hydrogen Absorption in Ionic Liquids25
Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction25
Issue Publication Information25
Novel Dimeric hHv1 Model and Structural Bioinformatic Analysis Reveal an ATP-Binding Site Resulting in a Channel Activating Effect25
Assessment of Two Restraint Potentials for Coarse-Grained Chemical-Cross-Link-Assisted Modeling of Protein Structures25
FEPrepare: A Web-Based Tool for Automating the Setup of Relative Binding Free Energy Calculations25
Exploring the Substrate-Assisted Dehydration of Chorismate Catalyzed by Dehydratase MqnA from QM/MM Calculations: The Role of Pocket Residues and the Hydrolysis Mechanism of N17D Mutant25
Issue Editorial Masthead25
Computational Exploration and Characterization of Potential Calcium Sensitizing Mutations in Cardiac Troponin C25
PyThinFilm: Automated Molecular Dynamics Simulation Protocols for the Generation of Thin Film Morphologies25
Computer-Aided Design and Synthesis of a New Class of PEX14 Inhibitors: Substituted 2,3,4,5-Tetrahydrobenzo[F][1,4]oxazepines as Potential New Trypanocidal Agents25
Issue Editorial Masthead24
Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization24
EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit24
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction24
Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort24
Protein–Nucleic Acid Interactions for RNA Polymerase II Elongation Factors by Molecular Dynamics Simulations24
Issue Publication Information24
Activation and Reactivity of the Deubiquitinylase OTU Cezanne-2 from MD Simulations and QM/MM Calculations24
Polarizable AMOEBA Model for Simulating Mg2+·Protein·Nucleotide Complexes24
Issue Editorial Masthead24
Binary Matrix Method to Enumerate, Hierarchically Order, and Structurally Classify Peptide Aggregation24
De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework24
A Decade of Indonesian Atmosphere in Computer-Aided Drug Design23
Chemprop: A Machine Learning Package for Chemical Property Prediction23
COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework23
Factors Governing Selectivity of Dopamine Receptor Binding Compounds for D2R and D3R Subtypes23
Probing Allosteric Regulation Mechanism of W7.35 on Agonist-Induced Activity for μOR by Mutation Simulation23
Issue Editorial Masthead23
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