Molecular Informatics

Papers
(The median citation count of Molecular Informatics is 1. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
76
Application of Molecular Docking, Homology Modeling, and Chemometric Approaches to Neonicotinoid Toxicity against Aphis craccivora48
Development and Evaluation of Peptidomimetic Compounds against SARS‐CoV‐2 Spike Protein: An in silico and in vitro Study44
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder43
A community effort in SARS‐CoV‐2 drug discovery37
Cover Picture: (Mol. Inf. 4/2022)36
Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS‐CoV‐2 Main Protease30
Chemical Reactivity Prediction: Current Methods and Different Application Areas26
Cover Picture: (Mol. Inf. 1/2023)26
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics25
Review of the 8th autumn school in chemoinformatics25
Cover Picture: (Mol. Inf. 1/2024)23
Virtual screening of natural products to enhance melanogenosis22
Application of automated machine learning in the identification of multi‐target‐directed ligands blocking PDE4B, PDE8A, and TRPA1 with potential use in the treatment of asthma and COPD22
Cumulative phylogenetic, sequence and structural analysis of Insulin superfamily proteins provide unique structure‐function insights20
Predicting the duration of action of β2‐adrenergic receptor agonists: Ligand and structure‐based approaches20
Structure‐based Pharmacophore Screening Coupled with QSAR Analysis Identified Potent Natural‐product‐derived IRAK‐4 Inhibitors19
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features18
Identification of Trovafloxacin, Ozanimod, and Ozenoxacin as Potent c‐Myc G‐Quadruplex Stabilizers to Suppress c‐Myc Transcription and Myeloma Growth17
Ambit‐SLN: an Open Source Software Library for Processing of Chemical Objects via SLN Linear Notation16
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Drug Search and Design Considering Cell Specificity of Chemically Induced Gene Expression Profiles for Disease‐Associated Tissues15
Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods14
Cover Picture: (Mol. Inf. 5/2024)14
Cover Picture: (Mol. Inf. 6/2022)14
Kinematic analysis of kinases and their oncogenic mutations – Kinases and their mutation kinematic analysis13
Use of tree‐based machine learning methods to screen affinitive peptides based on docking data12
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Rapid Assessment of Virtually Synthesizable Chemical Structures via Support Vector Machine Models12
Neural Network Models for Prediction of Biological Activity using Molecular Dynamics Data: A Case of Photoswitchable Peptides12
Cover Picture: (Mol. Inf. 7/2024)11
Multi‐Task ADME/PK prediction at industrial scale: leveraging large and diverse experimental datasets**11
Cover Picture: (Mol. Inf. 4/2025)11
Cover Picture: (Mol. Inf. 6/2024)11
Natural‐Language Processing (NLP) based feature extraction technique in Deep‐Learning model to predict the Blood‐Brain‐Barrier permeability of molecules10
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network10
Cover Picture: (Mol. Inf. 11/2023)9
Cover Picture: (Mol. Inf. 9/2021)9
Data‐driven approaches for identifying hyperparameters in multi‐step retrosynthesis9
Chemoinformatic Analysis of Isothiocyanates: Their Impact in Nature and Medicine9
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations8
The VEGA web service: multipurpose online tools for molecular modelling and docking analyses8
KNIME Workflows for Chemoinformatic Characterization of Chemical Databases8
Discovery of a pocket network on the domain 5 of the TrkB receptor – A potential new target in the quest for the new ligands8
Cover Picture: (Mol. Inf. 7/2025)8
Exploring drug repositioning possibilities of kinase inhibitors via molecular simulation**8
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In Silico Identification of Novel and Potent Inhibitors Against Mutant BRAF (V600E), MD Simulations, Free Energy Calculations, and Experimental Determination of Binding Affinity7
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Deimos: A novel automated methodology for optimal grouping. Application to nanoinformatics case studies7
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BIOMX‐DB: A web application for the BIOFACQUIM natural product database7
Cover Picture: (Mol. Inf. 10/2024)6
Cover Picture: (Mol. Inf. 1/2022)6
Cover Picture: (Mol. Inf. 10/2022)6
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models6
Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**6
Cover Picture: (Mol. Inf. 12/2023)6
A Scaffold‐based Deep Generative Model Considering Molecular Stereochemical Information6
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Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches**6
Cover Picture: (Mol. Inf. 7/2023)6
Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host‐pathogen Interaction Network Parameters6
Turbo Similarity Searching: Effect of Partial Ranking and Fusion Rules on ChEMBL Database5
Cover Picture: (Mol. Inf. 8‐9/2023)5
PredictingS. aureusantimicrobial resistance with interpretable genomic space maps5
Spherical GTM: A New Proposition for Visualization of Chemical Data5
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Network‐Based Approaches for Drug Repositioning5
My 50 Years with Chemoinformatics5
AliNA – a deep learning program for RNA secondary structure prediction5
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A Molecular Representation to Identify Isofunctional Molecules4
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Cover Picture: (Mol. Inf. 5/2022)4
Modeling Carbon Basicity4
Feature importance‐based interpretation of UMAP‐visualized polymer space4
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Network Analysis of the Organic Chemistry in Patents, Literature, and Pharmaceutical Industry4
Cover Picture: (Mol. Inf. 5/2023)4
Cover Picture: (Mol. Inf. 5‐6/2025)4
GDMol: Generative Double‐Masking Self‐Supervised Learning for Molecular Property Prediction4
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The macrocycle inhibitor landscape of SLC‐transporter4
Targeting of essential mycobacterial replication enzyme DnaG primase revealed Mitoxantrone and Vapreotide as novel mycobacterial growth inhibitors**4
Molecular Energies Derived from Deep Learning: Application to the Prediction of Formation Enthalpies Up to High Energy Compounds4
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Enhancing the Reliability of Integrated Consensus Strategies to Boost Docking‐Based Screening Campaigns Using Publicly Available Docking Programs3
QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide3
Computer‐aided design of muscarinic acetylcholine receptor M3 inhibitors: Promising compounds among trifluoromethyl containing hexahydropyrimidinones/thiones3
Consensus Virtual Screening Protocol Towards the Identification of Small Molecules Interacting with the Colchicine Binding Site of the Tubulin‐microtubule System3
MAYA (Multiple ActivitY Analyzer): An Open Access Tool to Explore Structure‐Multiple Activity Relationships in the Chemical Universe3
Quantum‐based Modeling of Protein‐ligand Interaction: The Complex of RutA with Uracil and Molecular Oxygen3
Quasi‐supervised Strategies for Compound‐protein Interaction Prediction3
Cover Picture: (Mol. Inf. 2/2023)3
Chemoinformatic regression methods and their applicability domain3
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Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task3
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GUIDEMOL: A Python graphical user interface for molecular descriptors based on RDKit3
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Experimentally Validated Novel Factor XIIa Inhibitors Identified by Docking and Quantum Chemical Post‐processing3
Exploring activity landscapes with extended similarity: is Tanimoto enough?3
A machine learning strategy with clustering under sampling of majority instances for predicting drug target interactions**3
Integrated workflow for the identification of new GABAAR positive allosteric modulators based on the in silico screening with further in vitro validation. Case study using Ena3
Cover Picture: (Mol. Inf. 8/2025)3
An in silico investigation of Kv2.1 potassium channel: Model building and inhibitors binding sites analysis**3
HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra‐large chemical libraries2
Entropy‐based lamarckian quantum‐behaved particle swarm optimization for flexible ligand docking2
Ultra‐Large Virtual Screening: Definition, Recent Advances, and Challenges in Drug Design2
Cell‐penetrating peptides predictors: A comparative analysis of methods and datasets2
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Molecular Odor Prediction Using Olfactory Receptor Information2
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm2
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Navigating pharmacophore space to identify activity discontinuities: A case study with BCR‐ABL2
Development of Machine Learning‐Based Models for Mutagenicity Predictions with Applications to Non‐Sugar Sweeteners2
Cover Picture: (Mol. Inf. 12/2021)2
Prediction of the Chemical Context for Buchwald‐Hartwig Coupling Reactions2
Extended Activity Cliffs‐Driven Approaches on Data Splitting for the Study of Bioactivity Machine Learning Predictions2
PrepFlow: A Toolkit for Chemical Library Preparation and Management for Virtual Screening2
Protein Binding Site Representation in Latent Space2
In silico prediction of drug‐induced liver injury with a complementary integration strategy based on hybrid representation2
Cover Picture: (Mol. Inf. 6/2023)2
The Chemical Space Spanned by Manually Curated Datasets of Natural and Synthetic Compounds with Activities against SARS‐CoV‐22
Data Mining Meets Machine Learning: A Novel ANN‐based Multi‐body Interaction Docking Scoring Function (MBI‐score) Based on Utilizing Frequent Geometric and Chemical Patterns of Interfacial Atoms in Na2
Pharmacophore Modeling of Targets Infested with Activity CliffsviaMolecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study2
Challenging Reverse Screening: A Benchmark Study for Comprehensive Evaluation2
Cover Picture: (Mol. Inf. 11/2021)2
Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening2
Cover Picture: (Mol. Inf. 2/2022)1
FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches1
In Silicoprediction of inhibitors for multiple transporters via machine learning methods1
Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets1
Extensive Molecular Dynamics Simulations Disclosed the Stability of mPGES‐1 Enzyme and the Structural Role of Glutathione (GSH) Cofactor1
Synthetically accessible de novo design using reaction vectors: Application to PARP1 inhibitors**1
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From High Dimensions to Human Insight: Exploring Dimensionality Reduction for Chemical Space Visualization1
Exploring the Gallic and Cinnamic Acids Chimeric Derivatives as Anticancer Agents over HeLa Cell Line: An in silico and in vitro Study1
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Phenothiazine‐based virtual screening, molecular docking, and molecular dynamics of new trypanothione reductase inhibitors of Trypanosoma cruzi1
Cover Picture: (Mol. Inf. 9/2022)1
Prediction of blood‐brain barrier permeability using machine learning approaches based on various molecular representation1
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Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces1
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Chemography‐guided analysis of a reaction path network for ethylene hydrogenation with a model Wilkinson's catalyst1
Towards an Enrichment Optimization Algorithm (EOA)‐based Target Specific Docking Functions for Virtual Screening1
Investigation of the Potential of Bile Acid Methyl Esters as Inhibitors of Aldo‐keto Reductase 1C2: Insight from Molecular Docking, Virtual Screening, Experimental Assays and Molecular Dynamics1
Active learning approaches in molecule pKi prediction1
Prediction of adverse drug reactions due to genetic predisposition using deep neural networks1
Comparing Explanations of Molecular Machine Learning Models Generated with Different Methods for the Calculation of Shapley Values1
Drug Repurposing for Newly Emerged Diseases via Network‐based Inference on a Gene‐disease‐drug Network1
CoLiNN: A Tool for Fast Chemical Space Visualization of Combinatorial Libraries Without Enumeration1
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Discovery of Potent and Isoform‐selective Histone Deacetylase Inhibitors Using Structure‐based Virtual Screening and Biological Evaluation1
Kinetic solubility: Experimental and machine‐learning modeling perspectives1
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