Molecular Informatics

Papers
(The median citation count of Molecular Informatics is 0. 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
Cover Picture: (Mol. Inf. 6/2021)74
Cover Picture: (Mol. Inf. 1/2023)44
Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS‐CoV‐2 Main Protease39
Cover Picture: (Mol. Inf. 4/2022)35
Chemical Reactivity Prediction: Current Methods and Different Application Areas32
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Application of Molecular Docking, Homology Modeling, and Chemometric Approaches to Neonicotinoid Toxicity against Aphis craccivora30
Development and Evaluation of Peptidomimetic Compounds against SARS‐CoV‐2 Spike Protein: An in silico and in vitro Study29
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder26
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics22
Cover Picture: (Mol. Inf. 1/2024)20
A community effort in SARS‐CoV‐2 drug discovery20
Review of the 8th autumn school in chemoinformatics19
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features18
Predicting the duration of action of β2‐adrenergic receptor agonists: Ligand and structure‐based approaches18
Machine Learning Boosted Docking (HASTEN): An Open‐source Tool To Accelerate Structure‐based Virtual Screening Campaigns18
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 COPD17
Identification of Trovafloxacin, Ozanimod, and Ozenoxacin as Potent c‐Myc G‐Quadruplex Stabilizers to Suppress c‐Myc Transcription and Myeloma Growth17
Cumulative phylogenetic, sequence and structural analysis of Insulin superfamily proteins provide unique structure‐function insights16
Virtual screening of natural products to enhance melanogenosis16
Structure‐based Pharmacophore Screening Coupled with QSAR Analysis Identified Potent Natural‐product‐derived IRAK‐4 Inhibitors16
Kinematic analysis of kinases and their oncogenic mutations – Kinases and their mutation kinematic analysis15
Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods14
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Ambit‐SLN: an Open Source Software Library for Processing of Chemical Objects via SLN Linear Notation14
Cover Picture: (Mol. Inf. 6/2022)13
Cover Picture: (Mol. Inf. 5/2024)13
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Chemoinformatic Analysis of Isothiocyanates: Their Impact in Nature and Medicine11
Natural‐Language Processing (NLP) based feature extraction technique in Deep‐Learning model to predict the Blood‐Brain‐Barrier permeability of molecules11
Use of tree‐based machine learning methods to screen affinitive peptides based on docking data11
Cover Picture: (Mol. Inf. 11/2023)11
Cover Picture: (Mol. Inf. 7/2024)10
Data‐driven approaches for identifying hyperparameters in multi‐step retrosynthesis10
Cover Picture: (Mol. Inf. 6/2024)10
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network9
Cover Picture: (Mol. Inf. 4/2025)9
Multi‐Task ADME/PK prediction at industrial scale: leveraging large and diverse experimental datasets**9
Cover Picture: (Mol. Inf. 9/2021)8
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: (5/2021)8
The VEGA web service: multipurpose online tools for molecular modelling and docking analyses8
KNIME Workflows for Chemoinformatic Characterization of Chemical Databases8
In silico Studies on the Interaction between Mpro and PLpro From SARS‐CoV‐2 and Ebselen, its Metabolites and Derivatives8
Computational Designing and Prediction of ADMET Properties of Four Novel Imidazole‐based Drug Candidates Inhibiting Heme Oxygenase‐1 Causing Cancers8
Cover Picture: (Mol. Inf. 10/2022)7
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations7
Cover Picture: (Mol. Inf. 12/2023)7
Exploring drug repositioning possibilities of kinase inhibitors via molecular simulation**7
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BIOMX‐DB: A web application for the BIOFACQUIM natural product database6
A Scaffold‐based Deep Generative Model Considering Molecular Stereochemical Information6
Cover Picture: (Mol. Inf. 1/2022)6
Cover Picture: (Mol. Inf. 7/2023)6
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Cover Picture: (Mol. Inf. 10/2024)6
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Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host‐pathogen Interaction Network Parameters6
Deimos: A novel automated methodology for optimal grouping. Application to nanoinformatics case studies6
Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**5
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My 50 Years with Chemoinformatics5
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models5
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PredictingS. aureusantimicrobial resistance with interpretable genomic space maps5
Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches**5
Cover Picture: (Mol. Inf. 8‐9/2023)5
Network‐Based Approaches for Drug Repositioning5
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AliNA – a deep learning program for RNA secondary structure prediction4
Feature importance‐based interpretation of UMAP‐visualized polymer space4
GDMol: Generative Double‐Masking Self‐Supervised Learning for Molecular Property Prediction4
Turbo Similarity Searching: Effect of Partial Ranking and Fusion Rules on ChEMBL Database4
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Generative Adversarial Networks for De Novo Molecular Design4
A Molecular Representation to Identify Isofunctional Molecules4
Exploring activity landscapes with extended similarity: is Tanimoto enough?3
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The macrocycle inhibitor landscape of SLC‐transporter3
Cover Picture: (Mol. Inf. 5/2022)3
Experimentally Validated Novel Factor XIIa Inhibitors Identified by Docking and Quantum Chemical Post‐processing3
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
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Targeting of essential mycobacterial replication enzyme DnaG primase revealed Mitoxantrone and Vapreotide as novel mycobacterial growth inhibitors**3
Molecular Energies Derived from Deep Learning: Application to the Prediction of Formation Enthalpies Up to High Energy Compounds3
Modeling Carbon Basicity3
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Quasi‐supervised Strategies for Compound‐protein Interaction Prediction3
Quantum‐based Modeling of Protein‐ligand Interaction: The Complex of RutA with Uracil and Molecular Oxygen3
Cover Picture: (Mol. Inf. 5/2023)3
Chemoinformatic regression methods and their applicability domain3
Cover Picture: (Mol. Inf. 2/2023)3
Consensus Virtual Screening Protocol Towards the Identification of Small Molecules Interacting with the Colchicine Binding Site of the Tubulin‐microtubule System3
Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task3
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Extended Activity Cliffs‐Driven Approaches on Data Splitting for the Study of Bioactivity Machine Learning Predictions2
NP Navigator: A New Look at the Natural Product Chemical Space2
Challenging Reverse Screening: A Benchmark Study for Comprehensive Evaluation2
The Chemical Space Spanned by Manually Curated Datasets of Natural and Synthetic Compounds with Activities against SARS‐CoV‐22
QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide2
An in silico investigation of Kv2.1 potassium channel: Model building and inhibitors binding sites analysis**2
2
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
Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening2
Cover Picture: (Mol. Inf. 11/2021)2
Prediction of the Chemical Context for Buchwald‐Hartwig Coupling Reactions2
Cover Picture: (Mol. Inf. 7/2021)2
Cell‐penetrating peptides predictors: A comparative analysis of methods and datasets2
MAYA (Multiple ActivitY Analyzer): An Open Access Tool to Explore Structure‐Multiple Activity Relationships in the Chemical Universe2
A machine learning strategy with clustering under sampling of majority instances for predicting drug target interactions**2
Identification of 1,2,4‐Triazolylthioethanone Scaffold for the Design of New Acetylcholinesterase Inhibitors2
Protein Binding Site Representation in Latent Space2
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm2
Ultra‐Large Virtual Screening: Definition, Recent Advances, and Challenges in Drug Design2
PrepFlow: A Toolkit for Chemical Library Preparation and Management for Virtual Screening2
Cover Picture: (Mol. Inf. 12/2021)2
GUIDEMOL: A Python graphical user interface for molecular descriptors based on RDKit2
Computer‐aided design of muscarinic acetylcholine receptor M3 inhibitors: Promising compounds among trifluoromethyl containing hexahydropyrimidinones/thiones2
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Pharmacophore Modeling of Targets Infested with Activity CliffsviaMolecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study2
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
Drug Repurposing for Newly Emerged Diseases via Network‐based Inference on a Gene‐disease‐drug Network1
ET‐score: Improving Protein‐ligand Binding Affinity Prediction Based on Distance‐weighted Interatomic Contact Features Using Extremely Randomized Trees Algorithm1
In silico prediction of drug‐induced liver injury with a complementary integration strategy based on hybrid representation1
Cover Picture: (Mol. Inf. 6/2023)1
Navigating pharmacophore space to identify activity discontinuities: A case study with BCR‐ABL1
Chemography‐guided analysis of a reaction path network for ethylene hydrogenation with a model Wilkinson's catalyst1
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Kinetic solubility: Experimental and machine‐learning modeling perspectives1
Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets1
Discovery of Potent and Isoform‐selective Histone Deacetylase Inhibitors Using Structure‐based Virtual Screening and Biological Evaluation1
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Molecular Odor Prediction Using Olfactory Receptor Information1
Entropy‐based lamarckian quantum‐behaved particle swarm optimization for flexible ligand docking1
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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
Synthetically accessible de novo design using reaction vectors: Application to PARP1 inhibitors**1
HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra‐large chemical libraries1
Towards an Enrichment Optimization Algorithm (EOA)‐based Target Specific Docking Functions for Virtual Screening1
Design, Bio‐evaluation and Molecular Dynamics Simulation of Novel GSK‐3β Inhibitors0
Discovery of New HER2 Inhibitors via Computational Docking, Pharmacophore Modeling, and Machine Learning0
A Topology‐Enhanced Multi‐Viewed Contrastive Approach for Molecular Graph Representation Learning and Classification0
Co‐model for chemical toxicity prediction based on multi‐task deep learning0
Updating and profiling the natural product‐likeness of Latin American compound libraries**0
Overlap of On‐demand Ultra‐large Combinatorial Spaces with On‐the‐shelf Drug‐like Libraries0
Sulfotransferase‐mediated phase II drug metabolism prediction of substrates and sites using accessibility and reactivity‐based algorithms0
Cover Picture: (Mol. Inf. 3/2024)0
Automatic generation of functional peptides with desired bioactivity and membrane permeability using Bayesian optimization0
Pathway‐based prediction of the therapeutic effects and mode of action of custom‐made multiherbal medicines0
Advances in Computational Polypharmacology0
Cover Picture: (Mol. Inf. 1/2025)0
Cover Picture: (Mol. Inf. 4/2024)0
Prediction of adverse drug reactions due to genetic predisposition using deep neural networks0
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Prediction of Reaction Yield for Buchwald‐Hartwig Cross‐coupling Reactions Using Deep Learning0
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CoLiNN: A Tool for Fast Chemical Space Visualization of Combinatorial Libraries Without Enumeration0
Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies0
An Integrated Fuzzy Neural Network and Topological Data Analysis for Molecular Graph Representation Learning and Property Forecasting0
Structural and Dynamic Assessment of Disease‐Causing Mutations for the Carnitine Transporter OCTN20
Gas‐to‐ionic liquid partition: QSPR modeling and mechanistic interpretation0
Developing a Generative Model Utilizing Self‐attention Networks: Application to Materials/Drug Discovery0
In silico construction of a focused fragment library facilitating exploration of chemical space**0
Exploring data‐driven chemical SMILES tokenization approaches to identify key protein–ligand binding moieties0
Highly Accurate Filters to Flag Frequent Hitters in AlphaScreen Assays by Suggesting their Mechanism0
An Attempt to Classify Elementary Reactions on the Basis of TS Motifs0
ERL‐ProLiGraph: Enhanced representation learning on protein‐ligand graph structured data for binding affinity prediction0
Accelerating Molecular Docking using Machine Learning Methods0
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Predicting the Price of Molecules Using Their Predicted Synthetic Pathways**0
Compression of molecular fingerprints with autoencoder networks0
Simple User‐Friendly Reaction Format0
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Cover Picture: (Mol. Inf. 8/2024)0
MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters0
Improving Molecular Design with Direct Inverse Analysis of QSAR/QSPR Model0
Cover Picture: (Mol. Inf. 7/2022)0
DIGEP‐Pred 2.0: A web application for predicting drug‐induced cell signaling and gene expression changes0
Editorial: Chemical Reactions Mining0
Chemical language models for molecular design0
Discovery of natural‐derived Mpro inhibitors as therapeutic candidates for COVID‐19: Structure‐based pharmacophore screening combined with QSAR analysis0
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NMSDR: Drug repurposing approach based on transcriptome data and network module similarity0
Cover Picture: (Mol. Inf. 9/2022)0
New QSPRs for Liquid Heat Capacity0
DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model0
Discovery of Inhibitors for Mycobacterium Tuberculosis Peptide Deformylase Based on Virtual Screening in Silico0
Cover Picture: (Mol. Inf. 4/2023)0
Cover Picture: (Mol. Inf. 2/2022)0
MGRNN: Structure Generation of Molecules Based on Graph Recurrent Neural Networks0
Cover Picture: (Mol. Inf. 10/2021)0
Virtual Screening Inhibitors of Ubiquitin‐specific Protease 7 Combining Pharmacophore Modeling and Molecular Docking0
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A Dataset of Computational Reaction Barriers for the Claisen Rearrangement: Chemical and Numerical Analysis0
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Absorption matters: A closer look at popular oral bioavailability rules for drug approvals0
Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study0
Cover Picture: (Mol. Inf. 11/2022)0
Multi‐targeted Drug Repurposing Approach for Breast Cancer via Integrated Functional Network Analysis0
Multiple Conformer Descriptors for QSAR Modeling0
Speed vs Accuracy: Effect on Ligand Pose Accuracy of Varying Box Size and Exhaustiveness in AutoDock Vina0
An ensemble‐based approach to estimate confidence of predicted protein–ligand binding affinity values0
Deep Modeling of Gain‐of‐Function Mutations on Androgen Receptor0
RENATE: A Pseudo‐retrosynthetic Tool for Synthetically Accessible de novo Design0
Artificial neural network models driven novel virtual screening workflow for the identification and biological evaluation of BACE1 inhibitors0
Exploring isofunctional molecules: Design of a benchmark and evaluation of prediction performance0
Cover Picture: (Mol. Inf. 10/2023)0
Inhibitor Assessment against the LpxC Enzyme of Antibiotic‐resistant Acinetobacter baumannii Using Virtual Screening, Dynamics Simulation, and in vitro Assays0
Exploring cooperative molecular contacts using a PostgreSQL database system0
Cover Picture: (Mol. Inf. 8/2021)0
Cover Picture: (Mol. Inf. 12/2022)0
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GCLmf: A Novel Molecular Graph Contrastive Learning Framework Based on Hard Negatives and Application in Toxicity Prediction**0
Development of novel ligands against SARS‐CoV‐2 Mpro enzyme: an in silico and in vitro Study0
Structural analysis of neomycin B and kanamycin A binding Aminoglycosides Modifying Enzymes (AME) and bacterial ribosomal RNA0
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints0
Exploration of the Chemical Space of DNA‐encoded Libraries0
French dispatch: GTM‐based analysis of the Chimiothèque Nationale Chemical Space0
Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS‐CoV‐2: A Combinedin silicoandin vitroStudy0
Classification of tastants: A deep learning based approach0
Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study0
Active learning approaches in molecule pKi prediction0
Similarity searching for anticandidal agents employing a repurposing approach0
Reaction Data Curation I: Chemical Structures and Transformations Standardization0
Machine Learning to Predict Homolytic Dissociation Energies of C−H Bonds: Calibration of DFT‐based Models with Experimental Data0
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Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes o0
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Metabolovigilance: Associating Drug Metabolites with Adverse Drug Reactions0
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces0
LCP: Simple Representation of Docking Poses for Machine Learning: A Case Study on Xanthine Oxidase Inhibitors0
MolPredictX: Online Biological Activity Predictions by Machine Learning Models0
Cover Picture: (Mol. Inf. 3/2023)0
A new set of KNIME nodes implementing the QPhAR algorithm0
Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction0
Structural Insight on the Selectivity of Calyx[4]Arene‐Based Inhibitors of Mg2+−Dependent Atp‐Hydrolases0
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Chemical Multiverse: An Expanded View of Chemical Space0
Chemoinformatics for corrosion science: Data‐driven modeling of corrosion inhibition by organic molecules0
Translating from Proteins to Ribonucleic Acids for Ligand‐binding Site Detection0
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Comparing search algorithms on the retrosynthesis problem0
FSDscore: An Effective Target‐focused Scoring Criterion for Virtual Screening0
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