Molecular Informatics

Papers
(The TQCC of Molecular Informatics is 4. 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
A Computational Approach to Identify Potential Novel Inhibitors against the Coronavirus SARS‐CoV‐226
Pharmacoinformatic Investigation of Medicinal Plants from East Africa26
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
Speed vs Accuracy: Effect on Ligand Pose Accuracy of Varying Box Size and Exhaustiveness in AutoDock Vina15
Antihypoxic Action of Panax Japonicus, Tribulus Terrestris and Dioscorea Deltoidea Cell Cultures: In Silico and Animal Studies15
NP Navigator: A New Look at the Natural Product Chemical Space14
Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning14
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
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
Targeting SARS‐CoV‐2 Spike Protein/ACE2 Protein‐Protein Interactions: a Computational Study12
Chemoinformatics and Machine Learning Approaches for Identifying Antiviral Compounds12
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
Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets11
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics11
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
ChemBoost: A Chemical Language Based Approach for Protein – Ligand Binding Affinity Prediction10
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
Multi‐targeted Drug Repurposing Approach for Breast Cancer via Integrated Functional Network Analysis9
Exploration of the Chemical Space of DNA‐encoded Libraries9
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
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
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
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
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
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
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
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
ACE2‐Variants Indicate Potential SARS‐CoV‐2‐Susceptibility in Animals: A Molecular Dynamics Study4
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
Critical Assessment of State‐of‐the‐Art Ligand‐Based Virtual Screening Methods4
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data Handling4
Peptidomimetics in Silico4
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
Drug Repurposing for Newly Emerged Diseases via Network‐based Inference on a Gene‐disease‐drug Network4
New QSPRs for Liquid Heat Capacity4
Computational Designing and Prediction of ADMET Properties of Four Novel Imidazole‐based Drug Candidates Inhibiting Heme Oxygenase‐1 Causing Cancers4
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
Dynamic Classification for Materials‐Informatics: Mining the Solar Cell Space4
Ligand‐based Discovery of Novel Small Molecule Inhibitors of RON Receptor Tyrosine Kinase4
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