OOIR: Observatory of International Research

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 2021-10-01 to 2025-10-01.)

Article	Citations
	77
Application of Molecular Docking, Homology Modeling, and Chemometric Approaches to Neonicotinoid Toxicity against Aphis craccivora	51
Cover Picture: (Mol. Inf. 4/2022)	50
Development and Evaluation of Peptidomimetic Compounds against SARS‐CoV‐2 Spike Protein: An in silico and in vitro Study	50
Development of a Novel Pharmacophore Model Guided by the Ensemble of Waters and Small Molecule Fragments Bound to SARS‐CoV‐2 Main Protease	40
Cover Picture: (Mol. Inf. 1/2023)	31
A Descriptor Set for Quantitative Structure‐property Relationship Prediction in Biologics	30
Fragment‐based deep molecular generation using hierarchical chemical graph representation and multi‐resolution graph variational autoencoder	30
Chemical Reactivity Prediction: Current Methods and Different Application Areas	29
A community effort in SARS‐CoV‐2 drug discovery	25
Review of the 8^th autumn school in chemoinformatics	22
Cover Picture: (Mol. Inf. 1/2024)	20
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features	20
Virtual screening of natural products to enhance melanogenosis	20
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 COPD	19
Cumulative phylogenetic, sequence and structural analysis of Insulin superfamily proteins provide unique structure‐function insights	19
Predicting the duration of action of β2‐adrenergic receptor agonists: Ligand and structure‐based approaches	19
Identification of Trovafloxacin, Ozanimod, and Ozenoxacin as Potent c‐Myc G‐Quadruplex Stabilizers to Suppress c‐Myc Transcription and Myeloma Growth	17
Drug Search and Design Considering Cell Specificity of Chemically Induced Gene Expression Profiles for Disease‐Associated Tissues	16
Cover Picture: (Mol. Inf. 6/2022)	15
Cover Picture: (Mol. Inf. 5/2024)	15
Kinematic analysis of kinases and their oncogenic mutations – Kinases and their mutation kinematic analysis	15
	14
	14
Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods	14

Rapid Assessment of Virtually Synthesizable Chemical Structures via Support Vector Machine Models	12
	12
Neural Network Models for Prediction of Biological Activity using Molecular Dynamics Data: A Case of Photoswitchable Peptides	12
Cover Picture: (Mol. Inf. 7/2024)	11
Use of tree‐based machine learning methods to screen affinitive peptides based on docking data	11
Cover Picture: (Mol. Inf. 6/2024)	10
Cover Picture: (Mol. Inf. 11/2023)	10
Cover Picture: (Mol. Inf. 4/2025)	10
Multi‐Task ADME/PK prediction at industrial scale: leveraging large and diverse experimental datasets**	10
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network	9
Exploring drug repositioning possibilities of kinase inhibitors via molecular simulation**	9
Data‐driven approaches for identifying hyperparameters in multi‐step retrosynthesis	9
KNIME Workflows for Chemoinformatic Characterization of Chemical Databases	9
The VEGA web service: multipurpose online tools for molecular modelling and docking analyses	9
Natural‐Language Processing (NLP) based feature extraction technique in Deep‐Learning model to predict the Blood‐Brain‐Barrier permeability of molecules	9
Discovery of a pocket network on the domain 5 of the TrkB receptor – A potential new target in the quest for the new ligands	9
Cover Picture: (Mol. Inf. 7/2025)	8
	8
LiProS: Findable, Accessible, Interoperable, and Reusable Data Simulation Workflow to Predict Accurate Lipophilicity Profiles for Small Molecules	8
	8
A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations	8
A Scaffold‐based Deep Generative Model Considering Molecular Stereochemical Information	7
Deimos: A novel automated methodology for optimal grouping. Application to nanoinformatics case studies	7
Cover Picture: (Mol. Inf. 12/2023)	7
Cover Picture: (Mol. Inf. 10/2022)	7
In Silico Identification of Novel and Potent Inhibitors Against Mutant BRAF (V600E), MD Simulations, Free Energy Calculations, and Experimental Determination of Binding Affinity	7
	7
Cover Picture: (Mol. Inf. 7/2023)	7
Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host‐pathogen Interaction Network Parameters	7
	6
Identification of a PD1/PD‐L1 inhibitor by structure‐based pharmacophore modelling, virtual screening, molecular docking and biological evaluation**	6
Cover Picture: (Mol. Inf. 1/2022)	6
	6
Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches**	6
BIOMX‐DB: A web application for the BIOFACQUIM natural product database	6
Network‐Based Approaches for Drug Repositioning	6
Cover Picture: (Mol. Inf. 10/2024)	6
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models	6
Spherical GTM: A New Proposition for Visualization of Chemical Data	5
Cover Picture: (Mol. Inf. 8‐9/2023)	5
Cover Picture: (Mol. Inf. 10/2025)	5
PredictingS. aureusantimicrobial resistance with interpretable genomic space maps	5
	5
	5
My 50 Years with Chemoinformatics	5
	5
A Molecular Representation to Identify Isofunctional Molecules	4
	4
Targeting of essential mycobacterial replication enzyme DnaG primase revealed Mitoxantrone and Vapreotide as novel mycobacterial growth inhibitors**	4
Enhancing the Reliability of Integrated Consensus Strategies to Boost Docking‐Based Screening Campaigns Using Publicly Available Docking Programs	4

Cover Picture: (Mol. Inf. 5/2022)	4
GDMol: Generative Double‐Masking Self‐Supervised Learning for Molecular Property Prediction	4
Turbo Similarity Searching: Effect of Partial Ranking and Fusion Rules on ChEMBL Database	4
	4
Modeling Carbon Basicity	4
Molecular Energies Derived from Deep Learning: Application to the Prediction of Formation Enthalpies Up to High Energy Compounds	4
Cover Picture: (Mol. Inf. 5/2023)	4
Feature importance‐based interpretation of UMAP‐visualized polymer space	4
AliNA – a deep learning program for RNA secondary structure prediction	4
The macrocycle inhibitor landscape of SLC‐transporter	4
Cover Picture: (Mol. Inf. 5‐6/2025)	4
Network Analysis of the Organic Chemistry in Patents, Literature, and Pharmaceutical Industry	4