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 2020-11-01 to 2024-11-01.)
ArticleCitations
An AI‐based Prediction Model for Drug‐drug Interactions in Osteoporosis and Paget's Diseases from SMILES62
In silico Studies on the Interaction between Mpro and PLpro From SARS‐CoV‐2 and Ebselen, its Metabolites and Derivatives34
ADMET Predictability at Boehringer Ingelheim: State‐of‐the‐Art, and Do Bigger Datasets or Algorithms Make a Difference?26
Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies26
Chemical Multiverse: An Expanded View of Chemical Space26
Speed vs Accuracy: Effect on Ligand Pose Accuracy of Varying Box Size and Exhaustiveness in AutoDock Vina24
In Silico Targeting Human Multidrug Transporter ABCG2 in Breast Cancer: Database Screening, Molecular Docking, and Molecular Dynamics Study21
HDAC3i‐Finder: A Machine Learning‐based Computational Tool to Screen for HDAC3 Inhibitors21
A machine learning q‐RASPR approach for efficient predictions of the specific surface area of perovskites**20
Differential Consistency Analysis: Which Similarity Measures can be Applied in Drug Discovery?19
Reaction Data Curation I: Chemical Structures and Transformations Standardization19
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics17
Targeting Mycobacterium Tuberculosis Enoyl‐Acyl Carrier Protein Reductase Using Computational Tools for Identification of Potential Inhibitor and their Biological Activity16
Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets16
Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning15
Targeting SARS‐CoV‐2 Spike Protein/ACE2 Protein‐Protein Interactions: a Computational Study14
NP Navigator: A New Look at the Natural Product Chemical Space14
Generative Adversarial Networks for De Novo Molecular Design14
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces13
Multi‐targeted Drug Repurposing Approach for Breast Cancer via Integrated Functional Network Analysis13
Chemoinformatics and Machine Learning Approaches for Identifying Antiviral Compounds13
DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model12
Prediction of Reaction Yield for Buchwald‐Hartwig Cross‐coupling Reactions Using Deep Learning11
Exploration of the Chemical Space of DNA‐encoded Libraries11
QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide11
ChemBoost: A Chemical Language Based Approach for Protein – Ligand Binding Affinity Prediction10
The Relevance of Goodness‐of‐fit, Robustness and Prediction Validation Categories of OECD‐QSAR Principles with Respect to Sample Size and Model Type10
ET‐score: Improving Protein‐ligand Binding Affinity Prediction Based on Distance‐weighted Interatomic Contact Features Using Extremely Randomized Trees Algorithm10
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction9
Machine Learning Boosted Docking (HASTEN): An Open‐source Tool To Accelerate Structure‐based Virtual Screening Campaigns9
Multiple Conformer Descriptors for QSAR Modeling9
Chemical Reactivity Prediction: Current Methods and Different Application Areas9
Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host‐pathogen Interaction Network Parameters9
Network‐Based Approaches for Drug Repositioning9
Exploring activity landscapes with extended similarity: is Tanimoto enough?8
Locally Optimizable Joint Embedding Framework to Design Nitrogen‐rich Molecules that are Similar but Improved8
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations8
Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS‐CoV‐2: A Combinedin silicoandin vitroStudy7
RENATE: A Pseudo‐retrosynthetic Tool for Synthetically Accessible de novo Design7
Advances in Computational Polypharmacology7
Overlap of On‐demand Ultra‐large Combinatorial Spaces with On‐the‐shelf Drug‐like Libraries7
An Integrative in silico Drug Repurposing Approach for Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease7
HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra‐large chemical libraries7
MolPredictX: Online Biological Activity Predictions by Machine Learning Models7
MGRNN: Structure Generation of Molecules Based on Graph Recurrent Neural Networks6
Exploring the Gallic and Cinnamic Acids Chimeric Derivatives as Anticancer Agents over HeLa Cell Line: An in silico and in vitro Study6
Pharmacophore‐guided Virtual Screening to Identify New β3‐adrenergic Receptor Agonists6
MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters6
Virtual Screening Inhibitors of Ubiquitin‐specific Protease 7 Combining Pharmacophore Modeling and Molecular Docking5
Ligand‐based Discovery of Novel Small Molecule Inhibitors of RON Receptor Tyrosine Kinase5
PrepFlow: A Toolkit for Chemical Library Preparation and Management for Virtual Screening5
MetaPASS: A Web Application for Analyzing the Biological Activity Spectrum of Organic Compounds Taking into Account their Biotransformation5
Computational Designing and Prediction of ADMET Properties of Four Novel Imidazole‐based Drug Candidates Inhibiting Heme Oxygenase‐1 Causing Cancers5
Translating from Proteins to Ribonucleic Acids for Ligand‐binding Site Detection5
Challenging Reverse Screening: A Benchmark Study for Comprehensive Evaluation5
Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**5
Critical Assessment of State‐of‐the‐Art Ligand‐Based Virtual Screening Methods5
New QSPRs for Liquid Heat Capacity5
Machine Learning Methods to Predict the Terrestrial and Marine Origin of Natural Products5
Pharmacophore Modeling of Targets Infested with Activity CliffsviaMolecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study5
Deimos: A novel automated methodology for optimal grouping. Application to nanoinformatics case studies4
Drug Repurposing for Newly Emerged Diseases via Network‐based Inference on a Gene‐disease‐drug Network4
Molecular Energies Derived from Deep Learning: Application to the Prediction of Formation Enthalpies Up to High Energy Compounds4
Discovery of Potent and Isoform‐selective Histone Deacetylase Inhibitors Using Structure‐based Virtual Screening and Biological Evaluation4
Identification of Trovafloxacin, Ozanimod, and Ozenoxacin as Potent c‐Myc G‐Quadruplex Stabilizers to Suppress c‐Myc Transcription and Myeloma Growth4
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 Dynamics4
Inhibitor Assessment against the LpxC Enzyme of Antibiotic‐resistant Acinetobacter baumannii Using Virtual Screening, Dynamics Simulation, and in vitro Assays4
Chemical language models for molecular design4
Effect of Learning Dataset for Identification of Active Molecules: A Case Study of Integrin αIIbβ3 Inhibitors4
Prediction of the Chemical Context for Buchwald‐Hartwig Coupling Reactions4
Peptidomimetics in Silico4
Discovery of Inhibitors for Mycobacterium Tuberculosis Peptide Deformylase Based on Virtual Screening in Silico4
Data‐driven approaches for identifying hyperparameters in multi‐step retrosynthesis4
De novo drug design based on patient gene expression profiles via deep learning4
Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study3
Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study3
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints3
Chemoinformatic Analysis of Isothiocyanates: Their Impact in Nature and Medicine3
AliNA – a deep learning program for RNA secondary structure prediction3
Chemoinformatics for the Safety of Energetic and Reactive Materials at Ineris3
Visualization and Analysis of the REACH‐chemical Space with Generative Topographic Mapping3
ACE2‐Variants Indicate Potential SARS‐CoV‐2‐Susceptibility in Animals: A Molecular Dynamics Study3
Experimentally Validated Novel Factor XIIa Inhibitors Identified by Docking and Quantum Chemical Post‐processing3
Absorption matters: A closer look at popular oral bioavailability rules for drug approvals3
Exploring isofunctional molecules: Design of a benchmark and evaluation of prediction performance3
Discovery of natural‐derived Mpro inhibitors as therapeutic candidates for COVID‐19: Structure‐based pharmacophore screening combined with QSAR analysis3
Block‐wise Exploration of Molecular Descriptors with Multi‐block Orthogonal Component Analysis (MOCA)3
Consensus Virtual Screening Protocol Towards the Identification of Small Molecules Interacting with the Colchicine Binding Site of the Tubulin‐microtubule System3
GB‐score: Minimally designed machine learning scoring function based on distance‐weighted interatomic contact features3
Machine Learning to Predict Homolytic Dissociation Energies of C−H Bonds: Calibration of DFT‐based Models with Experimental Data3
Prediction of the Partition Coefficient between Adipose Tissue and Blood for Environmental Chemicals: From Single QSAR Models to an Integrated Approach3
Feature importance‐based interpretation of UMAP‐visualized polymer space3
Computer‐aided design of muscarinic acetylcholine receptor M3 inhibitors: Promising compounds among trifluoromethyl containing hexahydropyrimidinones/thiones2
A Dataset of Computational Reaction Barriers for the Claisen Rearrangement: Chemical and Numerical Analysis2
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network2
Classification of tastants: A deep learning based approach2
Artificial neural network models driven novel virtual screening workflow for the identification and biological evaluation of BACE1 inhibitors2
Design, Bio‐evaluation and Molecular Dynamics Simulation of Novel GSK‐3β Inhibitors2
A community effort in SARS‐CoV‐2 drug discovery2
Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS‐CoV‐2 Main Protease2
Highly Accurate Filters to Flag Frequent Hitters in AlphaScreen Assays by Suggesting their Mechanism2
Comparing search algorithms on the retrosynthesis problem2
Compression of molecular fingerprints with autoencoder networks2
Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction2
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
Co‐model for chemical toxicity prediction based on multi‐task deep learning2
LCP: Simple Representation of Docking Poses for Machine Learning: A Case Study on Xanthine Oxidase Inhibitors2
Structural Fractal Analysis of the Active Site of Acetylcholinesterase in Complexes with Huperzine A, Galantamine, and Donepezil2
Quasi‐supervised Strategies for Compound‐protein Interaction Prediction2
Improvement of the Structure Generator DAECS with Respect to Structural Diversity2
Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods2
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
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 o2
In silico prediction of drug‐induced liver injury with a complementary integration strategy based on hybrid representation1
Automatic generation of functional peptides with desired bioactivity and membrane permeability using Bayesian optimization1
Predicting the duration of action of β2‐adrenergic receptor agonists: Ligand and structure‐based approaches1
Structure‐based Pharmacophore Screening Coupled with QSAR Analysis Identified Potent Natural‐product‐derived IRAK‐4 Inhibitors1
Development and Evaluation of Peptidomimetic Compounds against SARS‐CoV‐2 Spike Protein: An in silico and in vitro Study1
An in silico investigation of Kv2.1 potassium channel: Model building and inhibitors binding sites analysis**1
Metabolovigilance: Associating Drug Metabolites with Adverse Drug Reactions1
Synthetically accessible de novo design using reaction vectors: Application to PARP1 inhibitors**1
Updating and profiling the natural product‐likeness of Latin American compound libraries**1
Development of novel ligands against SARS‐CoV‐2 Mpro enzyme: an in silico and in vitro Study1
Developing a Generative Model Utilizing Self‐attention Networks: Application to Materials/Drug Discovery1
Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening1
Exploring data‐driven chemical SMILES tokenization approaches to identify key protein–ligand binding moieties1
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features1
Application of Molecular Docking, Homology Modeling, and Chemometric Approaches to Neonicotinoid Toxicity against Aphis craccivora1
FSDscore: An Effective Target‐focused Scoring Criterion for Virtual Screening1
NMSDR: Drug repurposing approach based on transcriptome data and network module similarity1
Conjugated quantitative structure‐property relationship models: Prediction of kinetic characteristics linked by the Arrhenius equation1
French dispatch: GTM‐based analysis of the Chimiothèque Nationale Chemical Space1
Entropy‐based lamarckian quantum‐behaved particle swarm optimization for flexible ligand docking1
An ensemble‐based approach to estimate confidence of predicted protein–ligand binding affinity values1
Ambit‐SLN: an Open Source Software Library for Processing of Chemical Objects via SLN Linear Notation1
Discovery of a Novel Antimicrobial Agent by the Virtual Screening of a Library of Small Molecules1
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder1
GUIDEMOL: A Python graphical user interface for molecular descriptors based on RDKit1
Quantum‐based Modeling of Protein‐ligand Interaction: The Complex of RutA with Uracil and Molecular Oxygen1
Phenothiazine‐based virtual screening, molecular docking, and molecular dynamics of new trypanothione reductase inhibitors of Trypanosoma cruzi1
New Pharmacophore Fingerprints and Weight‐matrix Learning for Virtual Screening. Application to Bcr‐Abl Data1
The macrocycle inhibitor landscape of SLC‐transporter1
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Prediction of adverse drug reactions due to genetic predisposition using deep neural networks0
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Chemical space exploration with Molpher: Generating and assessing a glucocorticoid receptor ligand library0
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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 abilities0
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Gas‐to‐ionic liquid partition: QSPR modeling and mechanistic interpretation0
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Virtual screening of natural products to enhance melanogenosis0
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Cell‐penetrating peptides predictors: A comparative analysis of methods and datasets0
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Targeting of essential mycobacterial replication enzyme DnaG primase revealed Mitoxantrone and Vapreotide as novel mycobacterial growth inhibitors**0
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Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches**0
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm0
Identification of 1,2,4‐Triazolylthioethanone Scaffold for the Design of New Acetylcholinesterase Inhibitors0
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Prediction of blood‐brain barrier permeability using machine learning approaches based on various molecular representation0
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ERL‐ProLiGraph: Enhanced representation learning on protein‐ligand graph structured data for binding affinity prediction0
The freedom space – a new set of commercially available molecules for hit discovery0
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Chemoinformatic regression methods and their applicability domain0
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Natural‐Language Processing (NLP) based feature extraction technique in Deep‐Learning model to predict the Blood‐Brain‐Barrier permeability of molecules0
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Active learning approaches in molecule pKi prediction0
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Review of the 8th autumn school in chemoinformatics0
DIGEP‐Pred 2.0: A web application for predicting drug‐induced cell signaling and gene expression changes0
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Predicting S. aureus antimicrobial resistance with interpretable genomic space maps0
Structural analysis of neomycin B and kanamycin A binding Aminoglycosides Modifying Enzymes (AME) and bacterial ribosomal RNA0
My 50 Years with Chemoinformatics0
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In silico construction of a focused fragment library facilitating exploration of chemical space**0
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Kinematic analysis of kinases and their oncogenic mutations – Kinases and their mutation kinematic analysis0
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Multi‐Task ADME/PK prediction at industrial scale: leveraging large and diverse experimental datasets**0
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Navigating pharmacophore space to identify activity discontinuities: A case study with BCR‐ABL0
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Similarity searching for anticandidal agents employing a repurposing approach0
Use of tree‐based machine learning methods to screen affinitive peptides based on docking data0
In Silico prediction of inhibitors for multiple transporters via machine learning methods0
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Cheminformatics Analysis of Fluoroquinolones and their Inhibition Potency Against Four Pathogens0
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Extensive Molecular Dynamics Simulations Disclosed the Stability of mPGES‐1 Enzyme and the Structural Role of Glutathione (GSH) Cofactor0
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A new set of KNIME nodes implementing the QPhAR algorithm0
Turbo Similarity Searching: Effect of Partial Ranking and Fusion Rules on ChEMBL Database0
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Cumulative phylogenetic, sequence and structural analysis of Insulin superfamily proteins provide unique structure‐function insights0
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Exploring cooperative molecular contacts using a PostgreSQL database system0
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Best of both worlds: An expansion of the state of the art pKa model with data from three industrial partners0
Towards an Enrichment Optimization Algorithm (EOA)‐based Target Specific Docking Functions for Virtual Screening0
Editorial: Chemical Reactions Mining0
FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches0
Chemoinformatics for corrosion science: Data‐driven modeling of corrosion inhibition by organic molecules0
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Navigating a 1E+60 Chemical Space of Peptide/Peptoid Oligomers0
GDMol: Generative Double‐Masking Self‐Supervised Learning for Molecular Property Prediction0
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Ensemble docking based virtual screening of SARS‐CoV‐2 main protease inhibitors0
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