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 2021-04-01 to 2025-04-01.)
ArticleCitations
72
Cover Picture: (Mol. Inf. 6/2021)41
Cover Picture: (Mol. Inf. 2/2025)35
MAYA (Multiple ActivitY Analyzer): An Open Access Tool to Explore Structure‐Multiple Activity Relationships in the Chemical Universe34
Cover Picture: (Mol. Inf. 1/2022)32
Cover Picture: (Mol. Inf. 2/2022)30
Cover Picture: (Mol. Inf. 9/2022)29
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Cover Picture: (Mol. Inf. 4/2022)23
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Cover Picture: (Mol. Inf. 8/2022)18
Cover Picture: (Mol. Inf. 10/2024)17
Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches**17
Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS‐CoV‐2 Main Protease17
Cover Picture: (Mol. Inf. 1/2023)17
Active learning approaches in molecule pKi prediction16
Navigating a 1E+60 Chemical Space of Peptide/Peptoid Oligomers16
The freedom space – a new set of commercially available molecules for hit discovery16
In Silicoprediction of inhibitors for multiple transporters via machine learning methods14
Prediction of adverse drug reactions due to genetic predisposition using deep neural networks14
Cover Picture: (Mol. Inf. 9/2024)14
Prediction of blood‐brain barrier permeability using machine learning approaches based on various molecular representation13
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder13
Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study12
Computer‐aided design of muscarinic acetylcholine receptor M3 inhibitors: Promising compounds among trifluoromethyl containing hexahydropyrimidinones/thiones12
Application of Molecular Docking, Homology Modeling, and Chemometric Approaches to Neonicotinoid Toxicity against Aphis craccivora11
Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies11
Highly Accurate Filters to Flag Frequent Hitters in AlphaScreen Assays by Suggesting their Mechanism11
Chemical Reactivity Prediction: Current Methods and Different Application Areas11
A Dataset of Computational Reaction Barriers for the Claisen Rearrangement: Chemical and Numerical Analysis10
Structural Fractal Analysis of the Active Site of Acetylcholinesterase in Complexes with Huperzine A, Galantamine, and Donepezil10
Block‐wise Exploration of Molecular Descriptors with Multi‐block Orthogonal Component Analysis (MOCA)10
Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**9
LCP: Simple Representation of Docking Poses for Machine Learning: A Case Study on Xanthine Oxidase Inhibitors9
Gas‐to‐ionic liquid partition: QSPR modeling and mechanistic interpretation9
A new set of KNIME nodes implementing the QPhAR algorithm9
RENATE: A Pseudo‐retrosynthetic Tool for Synthetically Accessible de novo Design8
Ensemble docking based virtual screening of SARS‐CoV‐2 main protease inhibitors8
An in silico investigation of Kv2.1 potassium channel: Model building and inhibitors binding sites analysis**8
Development and Evaluation of Peptidomimetic Compounds against SARS‐CoV‐2 Spike Protein: An in silico and in vitro Study8
FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches8
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics7
A community effort in SARS‐CoV‐2 drug discovery7
Extensive Molecular Dynamics Simulations Disclosed the Stability of mPGES‐1 Enzyme and the Structural Role of Glutathione (GSH) Cofactor7
MGRNN: Structure Generation of Molecules Based on Graph Recurrent Neural Networks6
The Relevance of Goodness‐of‐fit, Robustness and Prediction Validation Categories of OECD‐QSAR Principles with Respect to Sample Size and Model Type6
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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 o6
Comparing Explanations of Molecular Machine Learning Models Generated with Different Methods for the Calculation of Shapley Values6
Cover Picture: (Mol. Inf. 12/2021)6
Cover Picture: (Mol. Inf. 3/2022)6
GUIDEMOL: A Python graphical user interface for molecular descriptors based on RDKit6
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models6
Cover Picture: (Mol. Inf. 8‐9/2023)6
Cover Picture: (Mol. Inf. 1/2024)5
PredictingS. aureusantimicrobial resistance with interpretable genomic space maps5
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Similarity searching for anticandidal agents employing a repurposing approach5
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Cover Picture: (Mol. Inf. 7/2021)5
Discovery of natural‐derived Mpro inhibitors as therapeutic candidates for COVID‐19: Structure‐based pharmacophore screening combined with QSAR analysis5
Pharmacophore‐guided Virtual Screening to Identify New β3‐adrenergic Receptor Agonists4
Structural analysis of neomycin B and kanamycin A binding Aminoglycosides Modifying Enzymes (AME) and bacterial ribosomal RNA4
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Cover Picture: (Mol. Inf. 11/2024)4
Cover Picture: (Mol. Inf. 3/2023)4
Cell‐penetrating peptides predictors: A comparative analysis of methods and datasets4
Predicting the duration of action of β2‐adrenergic receptor agonists: Ligand and structure‐based approaches4
The Chemical Space Spanned by Manually Curated Datasets of Natural and Synthetic Compounds with Activities against SARS‐CoV‐24
Virtual screening of natural products to enhance melanogenosis4
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Discovery of a Novel Antimicrobial Agent by the Virtual Screening of a Library of Small Molecules4
Exploring data‐driven chemical SMILES tokenization approaches to identify key protein–ligand binding moieties4
My 50 Years with Chemoinformatics4
Cover Picture: (Mol. Inf. 12/2024)3
Structure‐based Pharmacophore Screening Coupled with QSAR Analysis Identified Potent Natural‐product‐derived IRAK‐4 Inhibitors3
Best of both worlds: An expansion of the state of the art pKa model with data from three industrial partners3
Improving Molecular Design with Direct Inverse Analysis of QSAR/QSPR Model3
Machine Learning Boosted Docking (HASTEN): An Open‐source Tool To Accelerate Structure‐based Virtual Screening Campaigns3
Challenging Reverse Screening: A Benchmark Study for Comprehensive Evaluation3
Chemoinformatics and Machine Learning Approaches for Identifying Antiviral Compounds3
ADMET Predictability at Boehringer Ingelheim: State‐of‐the‐Art, and Do Bigger Datasets or Algorithms Make a Difference?3
Prediction of the Chemical Context for Buchwald‐Hartwig Coupling Reactions3
Identification of 1,2,4‐Triazolylthioethanone Scaffold for the Design of New Acetylcholinesterase Inhibitors3
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Review of the 8th autumn school in chemoinformatics3
Editorial: Chemical Reactions Mining2
Ultra‐Large Virtual Screening: Definition, Recent Advances, and Challenges in Drug Design2
Cover Picture: (Mol. Inf. 11/2021)2
Cumulative phylogenetic, sequence and structural analysis of Insulin superfamily proteins provide unique structure‐function insights2
Kinematic analysis of kinases and their oncogenic mutations – Kinases and their mutation kinematic analysis2
An AI‐based Prediction Model for Drug‐drug Interactions in Osteoporosis and Paget's Diseases from SMILES2
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 COPD2
Design, Bio‐evaluation and Molecular Dynamics Simulation of Novel GSK‐3β Inhibitors2
Identification of Trovafloxacin, Ozanimod, and Ozenoxacin as Potent c‐Myc G‐Quadruplex Stabilizers to Suppress c‐Myc Transcription and Myeloma Growth2
Chemical space exploration with Molpher: Generating and assessing a glucocorticoid receptor ligand library2
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An Attempt to Classify Elementary Reactions on the Basis of TS Motifs2
Turbo Similarity Searching: Effect of Partial Ranking and Fusion Rules on ChEMBL Database2
De novo drug design based on patient gene expression profiles via deep learning2
Exploring cooperative molecular contacts using a PostgreSQL database system2
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
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features2
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Cover Picture: (4/2021)2
A multi‐tier computational screening framework to effectively search the mutational space of SARS‐CoV‐2 receptor binding motif to identify mutants with enhanced ACE2 binding abilities2
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Co‐model for chemical toxicity prediction based on multi‐task deep learning2
Pharmacophore Modeling of Targets Infested with Activity CliffsviaMolecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study2
Network‐Based Approaches for Drug Repositioning2
NP Navigator: A New Look at the Natural Product Chemical Space1
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MolPredictX: Online Biological Activity Predictions by Machine Learning Models1
An ensemble‐based approach to estimate confidence of predicted protein–ligand binding affinity values1
AliNA – a deep learning program for RNA secondary structure prediction1
Cover Picture: (Mol. Inf. 4/2023)1
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm1
Developing a Generative Model Utilizing Self‐attention Networks: Application to Materials/Drug Discovery1
Cover Picture: (Mol. Inf. 6/2022)1
Cover Picture: (Mol. Inf. 11/2022)1
Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening1
Artificial neural network models driven novel virtual screening workflow for the identification and biological evaluation of BACE1 inhibitors1
Exploring isofunctional molecules: Design of a benchmark and evaluation of prediction performance1
Protein Binding Site Representation in Latent Space1
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Translating from Proteins to Ribonucleic Acids for Ligand‐binding Site Detection1
Generative Adversarial Networks for De Novo Molecular Design1
Cover Picture: (Mol. Inf. 5/2024)1
Feature importance‐based interpretation of UMAP‐visualized polymer space1
In silico construction of a focused fragment library facilitating exploration of chemical space**1
Chemoinformatics for corrosion science: Data‐driven modeling of corrosion inhibition by organic molecules1
Automatic generation of functional peptides with desired bioactivity and membrane permeability using Bayesian optimization1
Extended Activity Cliffs‐Driven Approaches on Data Splitting for the Study of Bioactivity Machine Learning Predictions1
Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction1
PrepFlow: A Toolkit for Chemical Library Preparation and Management for Virtual Screening1
Cover Picture: (Mol. Inf. 8/2024)0
A machine learning strategy with clustering under sampling of majority instances for predicting drug target interactions**0
Differential Consistency Analysis: Which Similarity Measures can be Applied in Drug Discovery?0
A machine learning q‐RASPR approach for efficient predictions of the specific surface area of perovskites**0
Metabolovigilance: Associating Drug Metabolites with Adverse Drug Reactions0
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Predicting the Price of Molecules Using Their Predicted Synthetic Pathways**0
Computational Designing and Prediction of ADMET Properties of Four Novel Imidazole‐based Drug Candidates Inhibiting Heme Oxygenase‐1 Causing Cancers0
CIPSI: An open chemical intellectual property service for medicinal chemists0
Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study0
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MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters0
Chemical language models for molecular design0
Conjugated quantitative structure‐property relationship models: Prediction of kinetic characteristics linked by the Arrhenius equation0
Structural and Dynamic Assessment of Disease‐Causing Mutations for the Carnitine Transporter OCTN20
Cover Picture: (Mol. Inf. 7/2024)0
Discovery of New HER2 Inhibitors via Computational Docking, Pharmacophore Modeling, and Machine Learning0
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Data‐driven approaches for identifying hyperparameters in multi‐step retrosynthesis0
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction0
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces0
Natural‐Language Processing (NLP) based feature extraction technique in Deep‐Learning model to predict the Blood‐Brain‐Barrier permeability of molecules0
Kinetic solubility: Experimental and machine‐learning modeling perspectives0
CoLiNN: A Tool for Fast Chemical Space Visualization of Combinatorial Libraries Without Enumeration0
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A Scaffold‐based Deep Generative Model Considering Molecular Stereochemical Information0
Advances in Computational Polypharmacology0
Machine Learning to Predict Homolytic Dissociation Energies of C−H Bonds: Calibration of DFT‐based Models with Experimental Data0
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints0
Quantum‐based Modeling of Protein‐ligand Interaction: The Complex of RutA with Uracil and Molecular Oxygen0
Exploring drug repositioning possibilities of kinase inhibitors via molecular simulation**0
Quasi‐supervised Strategies for Compound‐protein Interaction Prediction0
The VEGA web service: multipurpose online tools for molecular modelling and docking analyses0
Deimos: A novel automated methodology for optimal grouping. Application to nanoinformatics case studies0
Critical Assessment of State‐of‐the‐Art Ligand‐Based Virtual Screening Methods0
French dispatch: GTM‐based analysis of the Chimiothèque Nationale Chemical Space0
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Cover Picture: (Mol. Inf. 7/2022)0
Exploration of the Chemical Space of DNA‐encoded Libraries0
Inhibitor Assessment against the LpxC Enzyme of Antibiotic‐resistant Acinetobacter baumannii Using Virtual Screening, Dynamics Simulation, and in vitro Assays0
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ACE2‐Variants Indicate Potential SARS‐CoV‐2‐Susceptibility in Animals: A Molecular Dynamics Study0
A Molecular Representation to Identify Isofunctional Molecules0
ET‐score: Improving Protein‐ligand Binding Affinity Prediction Based on Distance‐weighted Interatomic Contact Features Using Extremely Randomized Trees Algorithm0
Pathway‐based prediction of the therapeutic effects and mode of action of custom‐made multiherbal medicines0
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GB‐score: Minimally designed machine learning scoring function based on distance‐weighted interatomic contact features0
Cover Picture: (Mol. Inf. 8/2021)0
DIGEP‐Pred 2.0: A web application for predicting drug‐induced cell signaling and gene expression changes0
Prediction of the Appropriate Temperature and Pressure for Polymer Dissolution Using Machine Learning Models0
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Exploring activity landscapes with extended similarity: is Tanimoto enough?0
In silico Studies on the Interaction between Mpro and PLpro From SARS‐CoV‐2 and Ebselen, its Metabolites and Derivatives0
Cover Picture: (Mol. Inf. 7/2023)0
The macrocycle inhibitor landscape of SLC‐transporter0
Phenothiazine‐based virtual screening, molecular docking, and molecular dynamics of new trypanothione reductase inhibitors of Trypanosoma cruzi0
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations0
Cover Picture: (Mol. Inf. 11/2023)0
Consensus Virtual Screening Protocol Towards the Identification of Small Molecules Interacting with the Colchicine Binding Site of the Tubulin‐microtubule System0
Comparing search algorithms on the retrosynthesis problem0
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QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide0
Cover Picture: (Mol. Inf. 12/2022)0
GCLmf: A Novel Molecular Graph Contrastive Learning Framework Based on Hard Negatives and Application in Toxicity Prediction**0
Drug Repurposing for Newly Emerged Diseases via Network‐based Inference on a Gene‐disease‐drug Network0
Virtual Screening Inhibitors of Ubiquitin‐specific Protease 7 Combining Pharmacophore Modeling and Molecular Docking0
FSDscore: An Effective Target‐focused Scoring Criterion for Virtual Screening0
Experimentally Validated Novel Factor XIIa Inhibitors Identified by Docking and Quantum Chemical Post‐processing0
Accelerating Molecular Docking using Machine Learning Methods0
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 Dynamics0
Ambit‐SLN: an Open Source Software Library for Processing of Chemical Objects via SLN Linear Notation0
New Pharmacophore Fingerprints and Weight‐matrix Learning for Virtual Screening. Application to Bcr‐Abl Data0
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Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host‐pathogen Interaction Network Parameters0
Classification of tastants: A deep learning based approach0
New QSPRs for Liquid Heat Capacity0
Cover Picture: (Mol. Inf. 12/2023)0
Updating and profiling the natural product‐likeness of Latin American compound libraries**0
Reaction Data Curation I: Chemical Structures and Transformations Standardization0
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Chemoinformatic Analysis of Isothiocyanates: Their Impact in Nature and Medicine0
Exploration of the Global Minimum and Conical Intersection with Bayesian Optimization0
Cover Picture: (Mol. Inf. 10/2022)0
ERL‐ProLiGraph: Enhanced representation learning on protein‐ligand graph structured data for binding affinity prediction0
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Cover Picture: (Mol. Inf. 2/2024)0
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Speed vs Accuracy: Effect on Ligand Pose Accuracy of Varying Box Size and Exhaustiveness in AutoDock Vina0
DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model0
Cover Picture: (Mol. Inf. 6/2024)0
BIOMX‐DB: A web application for the BIOFACQUIM natural product database0
Cover Picture: (Mol. Inf. 3/2025)0
Cover Picture: (Mol. Inf. 10/2021)0
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 Ena0
Synthetically accessible de novo design using reaction vectors: Application to PARP1 inhibitors**0
Development of novel ligands against SARS‐CoV‐2 Mpro enzyme: an in silico and in vitro Study0
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NMSDR: Drug repurposing approach based on transcriptome data and network module similarity0
Molecular Odor Prediction Using Olfactory Receptor Information0
Sulfotransferase‐mediated phase II drug metabolism prediction of substrates and sites using accessibility and reactivity‐based algorithms0
Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task0
Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets0
Chemical Multiverse: An Expanded View of Chemical Space0
Multi‐targeted Drug Repurposing Approach for Breast Cancer via Integrated Functional Network Analysis0
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