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 2020-04-01 to 2024-04-01.)
ArticleCitations
Cheminformatics in Natural Product‐based Drug Discovery76
In silico Drug Repurposing for COVID‐19: Targeting SARS‐CoV‐2 Proteins through Docking and Consensus Ranking75
An AI‐based Prediction Model for Drug‐drug Interactions in Osteoporosis and Paget's Diseases from SMILES59
QSAR Modeling of SARS‐CoV Mpro Inhibitors Identifies Sufugolix, Cenicriviroc, Proglumetacin, and other Drugs as Candidates for Repurposing against SARS‐CoV‐252
Applications of the Pharmacophore Concept in Natural Product inspired Drug Design40
In silico Studies on the Interaction between Mpro and PLpro From SARS‐CoV‐2 and Ebselen, its Metabolites and Derivatives33
Pharmacoinformatic Investigation of Medicinal Plants from East Africa26
A Computational Approach to Identify Potential Novel Inhibitors against the Coronavirus SARS‐CoV‐226
BANΔIT: B’‐Factor Analysis for Drug Design and Structural Biology22
A Fragment Library of Natural Products and its Comparative Chemoinformatic Characterization22
In Silico Targeting Human Multidrug Transporter ABCG2 in Breast Cancer: Database Screening, Molecular Docking, and Molecular Dynamics Study20
Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies19
ADMET Predictability at Boehringer Ingelheim: State‐of‐the‐Art, and Do Bigger Datasets or Algorithms Make a Difference?18
Chemical Multiverse: An Expanded View of Chemical Space17
HDAC3i‐Finder: A Machine Learning‐based Computational Tool to Screen for HDAC3 Inhibitors16
Reaction Data Curation I: Chemical Structures and Transformations Standardization16
Antihypoxic Action of Panax Japonicus, Tribulus Terrestris and Dioscorea Deltoidea Cell Cultures: In Silico and Animal Studies15
Speed vs Accuracy: Effect on Ligand Pose Accuracy of Varying Box Size and Exhaustiveness in AutoDock Vina15
Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning14
NP Navigator: A New Look at the Natural Product Chemical Space14
Differential Consistency Analysis: Which Similarity Measures can be Applied in Drug Discovery?13
Targeting Mycobacterium Tuberculosis Enoyl‐Acyl Carrier Protein Reductase Using Computational Tools for Identification of Potential Inhibitor and their Biological Activity13
A machine learning q‐RASPR approach for efficient predictions of the specific surface area of perovskites**13
Estimation of Ionic Liquids Toxicity against Leukemia Rat Cell Line IPC‐81 based on the Empirical‐like Models using Intuitive and Explainable Fingerprint Descriptors13
Chemoinformatics and Machine Learning Approaches for Identifying Antiviral Compounds12
Targeting SARS‐CoV‐2 Spike Protein/ACE2 Protein‐Protein Interactions: a Computational Study12
Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets11
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics11
The Influence of Structural Patterns on Acute Aquatic Toxicity of Organic Compounds11
A Chemographic Audit of anti‐Coronavirus Structure‐activity Information from Public Databases (ChEMBL)11
Insights on 3D Structures of Potential Drug‐targeting Proteins of SARS‐CoV‐2: Application of Cavity Search and Molecular Docking11
Generative Adversarial Networks for De Novo Molecular Design11
ChemBoost: A Chemical Language Based Approach for Protein – Ligand Binding Affinity Prediction10
Privileged Scaffold Analysis of Natural Products with Deep Learning‐based Indication Prediction Model10
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces10
Multi‐targeted Drug Repurposing Approach for Breast Cancer via Integrated Functional Network Analysis9
Exploration of the Chemical Space of DNA‐encoded Libraries9
Generative Adversarial Networks (GANs) Based Synthetic Sampling for Predictive Modeling9
Using the Semiempirical Quantum Mechanics in Improving the Molecular Docking: A Case Study with CDK29
ET‐score: Improving Protein‐ligand Binding Affinity Prediction Based on Distance‐weighted Interatomic Contact Features Using Extremely Randomized Trees Algorithm9
Prediction of Reaction Yield for Buchwald‐Hartwig Cross‐coupling Reactions Using Deep Learning9
Network‐Based Approaches for Drug Repositioning8
The Relevance of Goodness‐of‐fit, Robustness and Prediction Validation Categories of OECD‐QSAR Principles with Respect to Sample Size and Model Type8
DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model8
D‐Peptide Builder: A Web Service to Enumerate, Analyze, and Visualize the Chemical Space of Combinatorial Peptide Libraries8
The SAR Matrix Method and an Artificially Intelligent Variant for the Identification and Structural Organization of Analog Series, SAR Analysis, and Compound Design8
Multiple Conformer Descriptors for QSAR Modeling8
SMARTS.plus – A Toolbox for Chemical Pattern Design8
Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host‐pathogen Interaction Network Parameters7
Virtual Screening and Design with Machine Intelligence Applied to Pim‐1 Kinase Inhibitors7
An Integrative in silico Drug Repurposing Approach for Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease7
Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS‐CoV‐2: A Combinedin silicoandin vitroStudy7
Machine Learning Boosted Docking (HASTEN): An Open‐source Tool To Accelerate Structure‐based Virtual Screening Campaigns7
Locally Optimizable Joint Embedding Framework to Design Nitrogen‐rich Molecules that are Similar but Improved7
Ligand‐based Activity Cliff Prediction Models with Applicability Domain7
QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide6
RENATE: A Pseudo‐retrosynthetic Tool for Synthetically Accessible de novo Design6
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction6
Chemical Reactivity Prediction: Current Methods and Different Application Areas6
Molecular Informatics in Natural Products Research6
MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters5
MolPredictX: Online Biological Activity Predictions by Machine Learning Models5
Pharmacophore‐guided Virtual Screening to Identify New β3‐adrenergic Receptor Agonists5
Advances in Computational Polypharmacology5
Overlap of On‐demand Ultra‐large Combinatorial Spaces with On‐the‐shelf Drug‐like Libraries5
PrepFlow: A Toolkit for Chemical Library Preparation and Management for Virtual Screening5
Chemometric Modelling of Heat Release Capacity, Total Heat Release and Char Formation of Polymers to Assess Their Flammability Characteristics5
Two‐ and Three‐dimensional Quantitative Structure‐activity Relationship Models Based on Conformer Structures5
Exploring the Gallic and Cinnamic Acids Chimeric Derivatives as Anticancer Agents over HeLa Cell Line: An in silico and in vitro Study5
Machine Learning Methods to Predict the Terrestrial and Marine Origin of Natural Products5
Evaluation of Molecular Fingerprints for Determining Dye Aggregation on Semiconductor Surfaces5
New QSPRs for Liquid Heat Capacity4
Chemoinformatic Analysis of Isothiocyanates: Their Impact in Nature and Medicine4
Consistent Cell‐selective Analog Series as Constellation Luminaries in Chemical Space4
QSPR Modeling of Liquid‐liquid Equilibria in Two‐phase Systems of Water and Ionic Liquid4
MetaPASS: A Web Application for Analyzing the Biological Activity Spectrum of Organic Compounds Taking into Account their Biotransformation4
Drug‐target‐ADR Network and Possible Implications of Structural Variants in Adverse Events4
Drug Repurposing for Newly Emerged Diseases via Network‐based Inference on a Gene‐disease‐drug Network4
Computational Designing and Prediction of ADMET Properties of Four Novel Imidazole‐based Drug Candidates Inhibiting Heme Oxygenase‐1 Causing Cancers4
Ligand‐based Discovery of Novel Small Molecule Inhibitors of RON Receptor Tyrosine Kinase4
Using Language Representation Learning Approach to Efficiently Identify Protein Complex Categories in Electron Transport Chain4
Identification of Trovafloxacin, Ozanimod, and Ozenoxacin as Potent c‐Myc G‐Quadruplex Stabilizers to Suppress c‐Myc Transcription and Myeloma Growth4
Prediction of the Chemical Context for Buchwald‐Hartwig Coupling Reactions4
Prediction of Promiscuity Cliffs Using Machine Learning4
Dynamic Classification for Materials‐Informatics: Mining the Solar Cell Space4
ACE2‐Variants Indicate Potential SARS‐CoV‐2‐Susceptibility in Animals: A Molecular Dynamics Study4
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data Handling4
Molecular Energies Derived from Deep Learning: Application to the Prediction of Formation Enthalpies Up to High Energy Compounds4
CompoundDB4j: Integrated Drug Resource of Heterogeneous Chemical Databases4
Pharmacophore Modeling of Targets Infested with Activity Cliffs via Molecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study4
MGRNN: Structure Generation of Molecules Based on Graph Recurrent Neural Networks4
Drug Re‐positioning Studies for Novel HIV‐1 Inhibitors Using Binary QSAR Models and Multi‐target‐driven In Silico Studies4
Critical Assessment of State‐of‐the‐Art Ligand‐Based Virtual Screening Methods4
Peptidomimetics in Silico4
Deimos: A novel automated methodology for optimal grouping. Application to nanoinformatics case studies3
Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study3
Exploring activity landscapes with extended similarity: is Tanimoto enough?3
Discovery of Potent and Isoform‐selective Histone Deacetylase Inhibitors Using Structure‐based Virtual Screening and Biological Evaluation3
Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**3
Virtual Screening Inhibitors of Ubiquitin‐specific Protease 7 Combining Pharmacophore Modeling and Molecular Docking3
Inhibitor Assessment against the LpxC Enzyme of Antibiotic‐resistant Acinetobacter baumannii Using Virtual Screening, Dynamics Simulation, and in vitro Assays3
From SAR Diagnostics to Compound Design: Development Chronology of the Compound Optimization Monitor (COMO) Method3
Prediction of the Partition Coefficient between Adipose Tissue and Blood for Environmental Chemicals: From Single QSAR Models to an Integrated Approach3
Block‐wise Exploration of Molecular Descriptors with Multi‐block Orthogonal Component Analysis (MOCA)3
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints3
Experimentally Validated Novel Factor XIIa Inhibitors Identified by Docking and Quantum Chemical Post‐processing3
Discovery of Inhibitors for Mycobacterium Tuberculosis Peptide Deformylase Based on Virtual Screening in Silico3
Translating from Proteins to Ribonucleic Acids for Ligand‐binding Site Detection3
Design, Bio‐evaluation and Molecular Dynamics Simulation of Novel GSK‐3β Inhibitors2
Chemoinformatics for the Safety of Energetic and Reactive Materials at Ineris2
Structural Fractal Analysis of the Active Site of Acetylcholinesterase in Complexes with Huperzine A, Galantamine, and Donepezil2
sensaas: Shape‐based Alignment by Registration of Colored Point‐based Surfaces2
GB‐score: Minimally designed machine learning scoring function based on distance‐weighted interatomic contact features2
Improvement of the Structure Generator DAECS with Respect to Structural Diversity2
Discovery of natural‐derived Mpro inhibitors as therapeutic candidates for COVID‐19: Structure‐based pharmacophore screening combined with QSAR analysis2
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
A Dataset of Computational Reaction Barriers for the Claisen Rearrangement: Chemical and Numerical Analysis2
Consensus Virtual Screening Protocol Towards the Identification of Small Molecules Interacting with the Colchicine Binding Site of the Tubulin‐microtubule System2
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations2
Artificial neural network models driven novel virtual screening workflow for the identification and biological evaluation of BACE1 inhibitors2
In Silico Analysis of FDA Drugs as P2X4 Modulators for the Treatment of Alcohol Use Disorder2
Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS‐CoV‐2 Main Protease2
Visualization and Analysis of the REACH‐chemical Space with Generative Topographic Mapping2
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 Dynamics2
Compression of molecular fingerprints with autoencoder networks2
Quasi‐supervised Strategies for Compound‐protein Interaction Prediction1
HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra‐large chemical libraries1
Feature importance‐based interpretation of UMAP‐visualized polymer space1
Dynamic‐shared Pharmacophore Approach as Tool to Design New Allosteric PRC2 Inhibitors, Targeting EED Binding Pocket1
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features1
Challenging Reverse Screening: A Benchmark Study for Comprehensive Evaluation1
De novo drug design based on patient gene expression profiles via deep learning1
Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study1
French dispatch: GTM‐based analysis of the Chimiothèque Nationale Chemical Space1
Machine Learning to Predict Homolytic Dissociation Energies of C−H Bonds: Calibration of DFT‐based Models with Experimental Data1
Exploring isofunctional molecules: Design of a benchmark and evaluation of prediction performance1
Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction1
Discovery of a Novel Antimicrobial Agent by the Virtual Screening of a Library of Small Molecules1
Effect of Learning Dataset for Identification of Active Molecules: A Case Study of Integrin αIIbβ3 Inhibitors1
A community effort in SARS‐CoV‐2 drug discovery1
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
Absorption matters: A closer look at popular oral bioavailability rules for drug approvals1
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network1
Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening1
PyRod Enables Rational Homology Model‐based Virtual Screening Against MCHR11
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 COPD1
Structure‐based Pharmacophore Screening Coupled with QSAR Analysis Identified Potent Natural‐product‐derived IRAK‐4 Inhibitors1
Computer‐aided design of muscarinic acetylcholine receptor M3 inhibitors: Promising compounds among trifluoromethyl containing hexahydropyrimidinones/thiones1
Highly Accurate Filters to Flag Frequent Hitters in AlphaScreen Assays by Suggesting their Mechanism1
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