Journal of Computer-Aided Molecular Design

Papers
(The median citation count of Journal of Computer-Aided Molecular Design is 3. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Computational investigation of functional water molecules in GPCRs bound to G protein or arrestin139
Computational peptide discovery with a genetic programming approach54
GPCRLigNet: rapid screening for GPCR active ligands using machine learning40
A high quality, industrial data set for binding affinity prediction: performance comparison in different early drug discovery scenarios23
Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo23
Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches22
PoseEdit: enhanced ligand binding mode communication by interactive 2D diagrams19
QM assisted ML for 19F NMR chemical shift prediction19
Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: II. regression and dielectric constant17
In silico exploration of natural xanthone derivatives as potential inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication and cellular entry16
FastGrow: on-the-fly growing and its application to DYRK1A16
Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery16
Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing16
COSMO-RS blind prediction of distribution coefficients and aqueous pKa values from the SAMPL8 challenge16
“Heptadecanol” a phytochemical multi-target inhibitor of SMYD3 & GFPT2 proteins in non-small cell lung cancer: an in-silico & in-vitro investigation15
Correction to: Conformational energies of reference organic molecules: benchmarking of common efficient computational methods against coupled cluster theory14
pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants14
Identification of potential inhibitors of Mycobacterium tuberculosis shikimate kinase: molecular docking, in silico toxicity and in vitro experiments14
The FMO2 analysis of the ligand-receptor binding energy: the Biscarbene-Gold(I)/DNA G-Quadruplex case study13
Unveiling a novel ellagic acid derivative as a potent lipoxygenase (LOX) inhibitor: integration of computational modeling and experimental validation12
An overview of the SAMPL8 host–guest binding challenge11
Mechanistic insights into PROTAC-mediated degradation through an integrated framework of molecular dynamics, free energy landscapes, and quantum mechanics: A case study on kinase degraders11
Evaluating computational and experimental approaches in early-stage Alzheimer’s drug discovery: a systematic review11
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 activity11
Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation10
Improvement of multi-task learning by data enrichment: application for drug discovery10
Imputation of sensory properties using deep learning10
User-centric design of a 3D search interface for protein-ligand complexes10
Binding free energies for the SAMPL8 CB8 “Drugs of Abuse” challenge from umbrella sampling combined with Hamiltonian replica exchange10
On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge9
Integrated machine learning and deep learning-based virtual screening framework identifies novel natural GSK-3β inhibitors for Alzheimer’s disease9
Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors9
Extended continuous similarity indices: theory and application for QSAR descriptor selection9
From closed to open: three dynamic states of membrane-bound cytochrome P450 3A49
Protein-ligand co-design: a case for improving binding affinity between type II NADH:quinone oxidoreductase and quinones9
Molecular docking, dynamics simulations, and in vivo studies of gallic acid in adenine-induced chronic kidney disease: targeting KIM-1 and NGAL9
Multitarget neuroprotective effects of β-sitosterol in diabetes-associated neurodegeneration: a coupled experimental/computational study9
Contact networks in RNA: a structural bioinformatics study with a new tool9
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space9
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds8
Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach8
Comparing classification models—a practical tutorial8
Comparison of logP and logD correction models trained with public and proprietary data sets8
Molecular and thermodynamic insights into interfacial interactions between collagen and cellulose investigated by molecular dynamics simulation and umbrella sampling8
CoBdock-2: enhancing blind docking performance through hybrid feature selection combining ensemble and multimodel feature selection approaches8
Molecular dynamics simulations reveal the inhibition mechanism of Cdc42 by RhoGDI18
MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics8
Reliable gas-phase tautomer equilibria of drug-like molecule scaffolds and the issue of continuum solvation8
Benchmarking ANI potentials as a rescoring function and screening FDA drugs for SARS-CoV-2 Mpro8
Exploring DrugCentral: from molecular structures to clinical effects8
Comparative assessment of physics-based in silico methods to calculate relative solubilities7
Correction to: Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT7
Steered molecular dynamics simulation as a post-process to optimize the iBRAB-designed Fab model7
Turbo prediction: a new approach for bioactivity prediction7
In silico design of dehydrophenylalanine containing peptide activators of glucokinase using pharmacophore modelling, molecular dynamics and machine learning: implications in type 2 diabetes7
Exploring the anti-diabetic potential of the Vigna sesquipedalis using in vitro, in vivo and computational models7
On the construction of LIECE models for the serotonin receptor 5-HT$$_{\text {2A}}$$R6
Phenolic-based allosteric inhibition of PTP1B: unlocking new therapeutic potential for metabolic disorders6
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal6
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors6
Combining crystallographic and binding affinity data towards a novel dataset of small molecule overlays6
Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay6
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-state6
Enabling data-limited chemical bioactivity predictions through deep neural network transfer learning6
Structural impacts of two disease-linked ADAR1 mutants: a molecular dynamics study6
Design and evaluation of novel thiazolidinedione-oxadiazole derivatives as potent α-amylase inhibitors for antidiabetic therapy5
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
Structure-based pose prediction: Non-cognate docking extended to macrocyclic ligands5
Evaluation of interactions between the hepatitis C virus NS3/4A and sulfonamidobenzamide based molecules using molecular docking, molecular dynamics simulations and binding free energy calculations5
Molecular dynamics simulations reveal mechanistic insights into aptamer-induced structural rearrangements in viral capsid proteins5
Disrupting tuberculosis pathogenesis by targeting DprE1 in cell wall biosynthesis: a structural dynamics perspective5
Theoretical investigation of AKT1 mutations in breast cancer: a computational approach to structural and functional insights5
Molecular mechanism of thiamine pyrophosphate import into mitochondria: a molecular simulation study5
Enhancement by pyrazolones of colistin efficacy against mcr-1-expressing E. coli: an in silico and in vitro investigation5
Simplified, interpretable graph convolutional neural networks for small molecule activity prediction5
Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge5
The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations5
Thermodynamic free energy map for the non-oxidative glycolysis pathways4
Correction: Exploring DrugCentral: from molecular structures to clinical effects4
OPTUNA optimization for predicting chemical respiratory toxicity using ML models4
Automated high throughput pKa and distribution coefficient measurements of pharmaceutical compounds for the SAMPL8 blind prediction challenge4
Using diverse potentials and scoring functions for the development of improved machine-learned models for protein–ligand affinity and docking pose prediction4
The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases4
Quantum algorithm for protein-ligand docking sites identification in the interaction space4
Prot2Prot: a deep learning model for rapid, photorealistic macromolecular visualization4
Best practices for repurposing studies4
Is there a common allosteric binding site for G-protein coupled receptors?4
Structure-based virtual screening workflow to identify antivirals targeting HIV-1 capsid4
Protein domain movement involved in binding of belinostat and HPOB as inhibitors of histone deacetylase 6 (HDAC6): a hybrid automated-interactive docking study4
TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa4
Crystal polymorphism and spectroscopical properties of sulfonamides in solid state by means of First Principles calculations4
Identification of HPr kinase/phosphorylase inhibitors: novel antimicrobials against resistant Enterococcus faecalis4
Synthesis, TD-DFT calculations, molecular docking and ADME studies of new spiro-oxindole derivatives containing 5(4H)-oxazolone as anti-viral and anti-bacterial agents4
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison4
Reactivities of acrylamide warheads toward cysteine targets: a QM/ML approach to covalent inhibitor design4
TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection4
In silico identification and in vitro antiviral validation of potential inhibitors against Chikungunya virus4
A least-squares-fitting procedure for an efficient preclinical ranking of passive transport across the blood–brain barrier endothelium3
ADis-QSAR: a machine learning model based on biological activity differences of compounds3
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 calculations3
Rethinking the applicability domain analysis in QSAR models3
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
On the force field optimisation of $$\beta$$-lactam cores using the force field Toolkit3
Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability3
Elucidating the potential effects of point mutations on FGFR3 inhibitor resistance via combined molecular dynamics simulation and community network analysis3
Convolidine as potent BACE1 inhibitor for Alzheimer’s disease; in-silico coupled with in-vitro assessment3
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors3
Identifying signatures of proteolytic stability and monomeric propensity in O-glycosylated insulin using molecular simulation3
Deciphering the sequence-dependent unfolding pathways of an RNA pseudoknot with steered molecular dynamics3
Correction: Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design3
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