Journal of Computer-Aided Molecular Design

Papers
(The median citation count of Journal of Computer-Aided Molecular Design is 2. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Computational investigation of functional water molecules in GPCRs bound to G protein or arrestin147
GPCRLigNet: rapid screening for GPCR active ligands using machine learning57
Computational peptide discovery with a genetic programming approach40
Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo25
Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches23
Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: II. regression and dielectric constant22
A high quality, industrial data set for binding affinity prediction: performance comparison in different early drug discovery scenarios20
In silico exploration of natural xanthone derivatives as potential inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication and cellular entry19
QM assisted ML for 19F NMR chemical shift prediction19
PoseEdit: enhanced ligand binding mode communication by interactive 2D diagrams17
“Heptadecanol” a phytochemical multi-target inhibitor of SMYD3 & GFPT2 proteins in non-small cell lung cancer: an in-silico & in-vitro investigation16
Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery16
pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants16
COSMO-RS blind prediction of distribution coefficients and aqueous pKa values from the SAMPL8 challenge16
Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing15
Correction to: Conformational energies of reference organic molecules: benchmarking of common efficient computational methods against coupled cluster theory14
Computational design and experimental confirmation of a disulfide-stapled YAP helixα1-trap derived from TEAD4 helical hairpin to selectively capture YAP α1-helix with potent antitumor activity14
FastGrow: on-the-fly growing and its application to DYRK1A14
Identification of potential inhibitors of Mycobacterium tuberculosis shikimate kinase: molecular docking, in silico toxicity and in vitro experiments13
The FMO2 analysis of the ligand-receptor binding energy: the Biscarbene-Gold(I)/DNA G-Quadruplex case study12
An overview of the SAMPL8 host–guest binding challenge11
Unveiling a novel ellagic acid derivative as a potent lipoxygenase (LOX) inhibitor: integration of computational modeling and experimental validation11
Evaluating computational and experimental approaches in early-stage Alzheimer’s drug discovery: a systematic review11
Binding free energies for the SAMPL8 CB8 “Drugs of Abuse” challenge from umbrella sampling combined with Hamiltonian replica exchange10
Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors10
Design, synthesis, evaluation and molecular modeling of quinazoline derivatives bearing amino acids as small-molecule PD-L1 inhibitors10
Imputation of sensory properties using deep learning10
User-centric design of a 3D search interface for protein-ligand complexes10
Mechanistic insights into PROTAC-mediated degradation through an integrated framework of molecular dynamics, free energy landscapes, and quantum mechanics: A case study on kinase degraders10
Improvement of multi-task learning by data enrichment: application for drug discovery10
Contact networks in RNA: a structural bioinformatics study with a new tool9
Protein-ligand co-design: a case for improving binding affinity between type II NADH:quinone oxidoreductase and quinones9
Benchmarking ANI potentials as a rescoring function and screening FDA drugs for SARS-CoV-2 Mpro9
From closed to open: three dynamic states of membrane-bound cytochrome P450 3A49
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space9
Advanced investigation of the adsorption process of geosmin molecules on polar bear and camel olfactory receptors: statistical physics treatment, in-depth DFT-modeling, and docking analysis9
Multitarget neuroprotective effects of β-sitosterol in diabetes-associated neurodegeneration: a coupled experimental/computational study9
Integrated machine learning and deep learning-based virtual screening framework identifies novel natural GSK-3β inhibitors for Alzheimer’s disease9
Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation9
Extended continuous similarity indices: theory and application for QSAR descriptor selection9
Exploring Oxazolidinone scaffolds for future antibiotics: synthesis and computational insights with DFT, docking, ADME and MD simulation8
Molecular and thermodynamic insights into interfacial interactions between collagen and cellulose investigated by molecular dynamics simulation and umbrella sampling8
Molecular docking, dynamics simulations, and in vivo studies of gallic acid in adenine-induced chronic kidney disease: targeting KIM-1 and NGAL8
On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge8
Reliable gas-phase tautomer equilibria of drug-like molecule scaffolds and the issue of continuum solvation8
Combined experimental and computational investigation of vildagliptin: spectroscopy, electronic structure, MD and Docking to EGFR, VEGFR2, and HER2 anticancer targets8
Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach8
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds8
Comparing classification models—a practical tutorial7
Exploring DrugCentral: from molecular structures to clinical effects7
Comparison of logP and logD correction models trained with public and proprietary data sets7
Molecular dynamics simulations reveal the inhibition mechanism of Cdc42 by RhoGDI17
CoBdock-2: enhancing blind docking performance through hybrid feature selection combining ensemble and multimodel feature selection approaches7
MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics7
Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn7
Comparative assessment of physics-based in silico methods to calculate relative solubilities6
Steered molecular dynamics simulation as a post-process to optimize the iBRAB-designed Fab model6
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal6
Structural impacts of two disease-linked ADAR1 mutants: a molecular dynamics study6
Exploring the anti-diabetic potential of the Vigna sesquipedalis using in vitro, in vivo and computational models6
On the construction of LIECE models for the serotonin receptor 5-HT$$_{\text {2A}}$$R6
Molecular dynamics simulations reveal mechanistic insights into aptamer-induced structural rearrangements in viral capsid proteins6
Correction to: Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT6
In silico design of dehydrophenylalanine containing peptide activators of glucokinase using pharmacophore modelling, molecular dynamics and machine learning: implications in type 2 diabetes6
Turbo prediction: a new approach for bioactivity prediction6
From mundane to surprising nonadditivity: drivers and impact on ML models6
Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state5
Enabling data-limited chemical bioactivity predictions through deep neural network transfer learning5
Insights into the coordination chemistry of antineoplastic doxorubicin with 3d-transition metal ions Zn2+, Cu2+, and VO2+: a study using well-calibrated thermodynamic cycles and chemical interaction q5
Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay5
Design and evaluation of novel thiazolidinedione-oxadiazole derivatives as potent α-amylase inhibitors for antidiabetic therapy5
Structure-based pose prediction: Non-cognate docking extended to macrocyclic ligands5
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors5
Combining crystallographic and binding affinity data towards a novel dataset of small molecule overlays5
Enhancement by pyrazolones of colistin efficacy against mcr-1-expressing E. coli: an in silico and in vitro investigation5
Phenolic-based allosteric inhibition of PTP1B: unlocking new therapeutic potential for metabolic disorders5
Quantum algorithm for protein-ligand docking sites identification in the interaction space4
Crystal polymorphism and spectroscopical properties of sulfonamides in solid state by means of First Principles calculations4
Thermodynamic free energy map for the non-oxidative glycolysis pathways4
The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations4
Using diverse potentials and scoring functions for the development of improved machine-learned models for protein–ligand affinity and docking pose prediction4
Reactivities of acrylamide warheads toward cysteine targets: a QM/ML approach to covalent inhibitor design4
Prot2Prot: a deep learning model for rapid, photorealistic macromolecular visualization4
Evaluation of interactions between the hepatitis C virus NS3/4A and sulfonamidobenzamide based molecules using molecular docking, molecular dynamics simulations and binding free energy calculations4
Anticancer potential of 2,2′-bipyridine hydroxamic acid derivatives in head and neck cancer therapy4
Theoretical investigation of AKT1 mutations in breast cancer: a computational approach to structural and functional insights4
Simplified, interpretable graph convolutional neural networks for small molecule activity prediction4
The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases4
TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection4
Automated high throughput pKa and distribution coefficient measurements of pharmaceutical compounds for the SAMPL8 blind prediction challenge4
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison4
Disrupting tuberculosis pathogenesis by targeting DprE1 in cell wall biosynthesis: a structural dynamics perspective4
Protein domain movement involved in binding of belinostat and HPOB as inhibitors of histone deacetylase 6 (HDAC6): a hybrid automated-interactive docking study4
Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge4
Structure-based virtual screening workflow to identify antivirals targeting HIV-1 capsid4
Identifying signatures of proteolytic stability and monomeric propensity in O-glycosylated insulin using molecular simulation3
In silico identification and in vitro antiviral validation of potential inhibitors against Chikungunya virus3
Correction: Exploring DrugCentral: from molecular structures to clinical effects3
OPTUNA optimization for predicting chemical respiratory toxicity using ML models3
A least-squares-fitting procedure for an efficient preclinical ranking of passive transport across the blood–brain barrier endothelium3
On the force field optimisation of $$\beta$$-lactam cores using the force field Toolkit3
Computational exploration and molecular dynamics simulations for investigating the potential inhibitory mechanism of amantadine on the ion channel activity of bovine viral diarrhea virus p73
Identification of HPr kinase/phosphorylase inhibitors: novel antimicrobials against resistant Enterococcus faecalis3
Best practices for repurposing studies3
Is there a common allosteric binding site for G-protein coupled receptors?3
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors3
Convolidine as potent BACE1 inhibitor for Alzheimer’s disease; in-silico coupled with in-vitro assessment3
TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa3
Synthesis, TD-DFT calculations, molecular docking and ADME studies of new spiro-oxindole derivatives containing 5(4H)-oxazolone as anti-viral and anti-bacterial agents3
An in-vitro and in-silico approaches in exploring the molecular contact of COVID-19 antiviral drug molnupiravir with human serum albumin: effect of binding on protein structure3
ADis-QSAR: a machine learning model based on biological activity differences of compounds3
Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability2
Elucidating the potential effects of point mutations on FGFR3 inhibitor resistance via combined molecular dynamics simulation and community network analysis2
Investigating the role of glycans in Omicron sub-lineages XBB.1.5 and XBB.1.16 binding to host receptor using molecular dynamics and binding free energy calculations2
OFraMP: a fragment-based tool to facilitate the parametrization of large molecules2
Structure-guided discovery of microtubule affinity-regulating kinase 4 inhibitory potential of Harmane: towards therapeutic targeting of Alzheimer’s disease2
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information2
Deciphering the sequence-dependent unfolding pathways of an RNA pseudoknot with steered molecular dynamics2
Promoter recognition specificity of Corynebacterium glutamicum stress response sigma factors σD and σH deciphered using computer modeling and point mutagenesis2
Computational investigation to identify multi-targeted anti-hyperglycemic potential of substituted 2-Mercaptobenzimidazole derivatives and synthesis of new α-glucosidase inhibitors2
Fine tuning for success in structure-based virtual screening2
Des3PI: a fragment-based approach to design cyclic peptides targeting protein–protein interactions2
Correction: Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design2
Rethinking the applicability domain analysis in QSAR models2
On the relevance of query definition in the performance of 3D ligand-based virtual screening2
ChemFlow_py: a flexible toolkit for docking and rescoring2
Consensus scoring evaluated using the GPCR-Bench dataset: Reconsidering the role of MM/GBSA2
Targeting multiple pathways with virtual screening to identify the multi-target agent for Alzheimer’s disease treatment2
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