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 2020-11-01 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
Chemical Multiverse: An Expanded View of Chemical Space26
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
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
Generative Adversarial Networks for De Novo Molecular Design14
Targeting SARS‐CoV‐2 Spike Protein/ACE2 Protein‐Protein Interactions: a Computational Study14
NP Navigator: A New Look at the Natural Product Chemical Space14
Chemoinformatics and Machine Learning Approaches for Identifying Antiviral Compounds13
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
DeepBBBP: High Accuracy Blood‐brain‐barrier Permeability Prediction with a Mixed Deep Learning Model12
QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide11
Prediction of Reaction Yield for Buchwald‐Hartwig Cross‐coupling Reactions Using Deep Learning11
Exploration of the Chemical Space of DNA‐encoded Libraries11
ET‐score: Improving Protein‐ligand Binding Affinity Prediction Based on Distance‐weighted Interatomic Contact Features Using Extremely Randomized Trees Algorithm10
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
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
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
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations8
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
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
MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters6
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
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
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
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
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
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