Journal of Computer-Aided Molecular Design

Papers
(The TQCC of Journal of Computer-Aided Molecular Design is 5. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Impact of physical activity on the hypothalamic–pituitary–gonadal axis in older males: a comparative and AI-based predictive modeling study of demographic factors and stress markers101
Computational peptide discovery with a genetic programming approach54
Reshaping globular dynamics of S. aureus pyruvate kinase via bond restraints to allosteric sites35
GPCRLigNet: rapid screening for GPCR active ligands using machine learning31
Computational investigation of functional water molecules in GPCRs bound to G protein or arrestin31
Integrated strategy for screening direct Keap1-Nrf2 PPI inhibitors from traditional Chinese medicine: a case study of Achyranthis bidentatae Radix28
Interconversion of the (+)-O-desmethyltramadol to the lowest-energy conformer when coupled to µ-opioid receptor: comprehensive analysis using in silico molecular modeling28
GADRC: a graph-based approach for drug repositioning with deep residual networks and computational feature-guided undersampling25
QM assisted ML for 19F NMR chemical shift prediction22
In silico exploration of natural xanthone derivatives as potential inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication and cellular entry22
Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo21
Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: II. regression and dielectric constant21
A high quality, industrial data set for binding affinity prediction: performance comparison in different early drug discovery scenarios20
PoseEdit: enhanced ligand binding mode communication by interactive 2D diagrams19
Comprehensive analysis of beta-lactamase genes in clinical strains of Escherichia coli and Klebsiella pneumoniae: molecular characterization, and in Silico predictions18
Multimodal computational approaches coupled with experimental assays to identify flavonoids as potent inhibitors of diabetes and AGEs17
Harnessing formaldehyde detection: novel metal-doped coronene sensors to combat pollution and enable early lung cancer diagnosis16
Design, synthesis, pharmacological evaluation and computational modeling of 4-formyl-2-nitrophenyl quinoline-8-sulfonate derived thiosemicarbazones as antidiabetic agents16
“Heptadecanol” a phytochemical multi-target inhibitor of SMYD3 & GFPT2 proteins in non-small cell lung cancer: an in-silico & in-vitro investigation15
COSMO-RS blind prediction of distribution coefficients and aqueous pKa values from the SAMPL8 challenge12
pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants12
Computational investigation on the properties of alkoxysilyl-anchored near-infrared porphyrin dyes for application in dye-sensitized solar cells12
Exploring the toxicity of fluoxastrobin: a combined computational and experimental approach11
Predicting drug-target affinity through triple pre-activated random residual planet convolution coupled attention network and contact maps11
FastGrow: on-the-fly growing and its application to DYRK1A11
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
Design, synthesis, evaluation and molecular modeling of quinazoline derivatives bearing amino acids as small-molecule PD-L1 inhibitors11
Unveiling a novel ellagic acid derivative as a potent lipoxygenase (LOX) inhibitor: integration of computational modeling and experimental validation11
Correction to: Conformational energies of reference organic molecules: benchmarking of common efficient computational methods against coupled cluster theory10
The FMO2 analysis of the ligand-receptor binding energy: the Biscarbene-Gold(I)/DNA G-Quadruplex case study10
In silico development of RNA aptamer candidates against thyroid receptor10
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
Kideraspa: designing variants of staphylococcal protein a based on a diffusion model with kidera factors10
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space9
Breast cancer diagnosis from histopathological images and molecular signatures by fusing features with an explainable AI-based residual tabular network model9
Identification of potential inhibitors of Mycobacterium tuberculosis shikimate kinase: molecular docking, in silico toxicity and in vitro experiments9
Evaluating computational and experimental approaches in early-stage Alzheimer’s drug discovery: a systematic review9
An overview of the SAMPL8 host–guest binding challenge9
User-centric design of a 3D search interface for protein-ligand complexes9
Antitumor evaluation of novel alizarin-based derivatives through biological and computational approaches8
Interpretable machine learning-driven QSAR modeling for coagulation factor X inhibitors: from molecular descriptors to predictive potency8
Cytotoxic and gene expression effects of deltamethrin and acetamiprid on MDA-MB-231 breast cancer cells: a molecular and functional study8
Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation8
DFT and molecular docking-guided investigation of mixed-ligand octahedral Fe(III) and Cu(II) Schiff-base and albendazole complexes with antimicrobial potential8
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 analysis8
Discovery of potent thymidine phosphorylase inhibitors from Euphorbia pulcherrima Willd. ex Klotzsch with experimental validation and computational analysis8
Effect of emulsion-based nanosystems on the encapsulation behavior of triptorelin using molecular dynamics simulation8
Enhancing molecular representation via fusion of multimodal transformers with integrated periodic local and global features8
Protein-ligand co-design: a case for improving binding affinity between type II NADH:quinone oxidoreductase and quinones8
Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors8
Improvement of multi-task learning by data enrichment: application for drug discovery8
A large language model-guided reinforcement learning framework for EGFR anticancer drug design7
Exploring Oxazolidinone scaffolds for future antibiotics: synthesis and computational insights with DFT, docking, ADME and MD simulation7
Molecular dynamics insights into the interactions of biocompatible synthetic polymer composites with carbon-based nanoparticle derivatives: a comparative study of PLGA and PCL interactions with GO/rGO7
Mycobacterium tuberculosis FAS-II pathway targeted integrative deep learning based identification of potential anti-tubercular agents7
Artificial intelligence in protein-based detection and inhibition of AMR pathways7
Integrated machine learning and deep learning-based virtual screening framework identifies novel natural GSK-3β inhibitors for Alzheimer’s disease7
Molecular docking, dynamics simulations, and in vivo studies of gallic acid in adenine-induced chronic kidney disease: targeting KIM-1 and NGAL7
Reliable gas-phase tautomer equilibria of drug-like molecule scaffolds and the issue of continuum solvation7
Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn7
Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach7
Benchmarking ANI potentials as a rescoring function and screening FDA drugs for SARS-CoV-2 Mpro7
From closed to open: three dynamic states of membrane-bound cytochrome P450 3A47
Combined experimental and computational investigation of vildagliptin: spectroscopy, electronic structure, MD and Docking to EGFR, VEGFR2, and HER2 anticancer targets7
Structure-based identification and experimental evaluation of Oroxin A as a FYN kinase inhibitor7
Molecular dynamics simulations reveal the inhibition mechanism of Cdc42 by RhoGDI17
Multitarget neuroprotective effects of β-sitosterol in diabetes-associated neurodegeneration: a coupled experimental/computational study7
Identification of antidiabetic leads using in-silico screening, molecular dynamics simulation, and biological evaluation using cell viability, anti-adipogenesis, glucose uptake, and peroxisome prolife6
CoBdock-2: enhancing blind docking performance through hybrid feature selection combining ensemble and multimodel feature selection approaches6
Discovery of novel natural compounds as PKCθ inhibitors: structure-based virtual screening and in vitro evaluation6
PBP_ICBA: a prediction of bacterial promoters in specific organisms using an improved convolutional block attention module6
Discovery of novel natural product-derived EGFR inhibitors using multiple linear regression, stacked ensemble regression, and fingerprinting approaches6
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds6
Molecular and thermodynamic insights into interfacial interactions between collagen and cellulose investigated by molecular dynamics simulation and umbrella sampling6
Multi-scale in-silico modelling to unveil structural requirements for DNA-PK inhibitors as radiosensitizers and MolSHAP based design of novel ligands6
Enhancing accuracy of virtual kinase profiling via application of graph neural network to 3D pharmacophore ensembles5
Exploring the anti-diabetic potential of the Vigna sesquipedalis using in vitro, in vivo and computational models5
MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics5
Correction: Identification of hub necroptosis-related targets and discovery of potential natural inhibitors in ulcerative colitis based on bioinformatics and computer-aided drug design5
Exploring DrugCentral: from molecular structures to clinical effects5
Predicting drug-target interactions and binding affinity using an optimized deep learning approach5
From mundane to surprising nonadditivity: drivers and impact on ML models5
Comparative assessment of physics-based in silico methods to calculate relative solubilities5
In silico design of dehydrophenylalanine containing peptide activators of glucokinase using pharmacophore modelling, molecular dynamics and machine learning: implications in type 2 diabetes5
Steered molecular dynamics simulation as a post-process to optimize the iBRAB-designed Fab model5
Multi-spatial channel attention and inceptionv3-based CAD system with optimized MLP for lung cancer detection5
On the construction of LIECE models for the serotonin receptor 5-HT$$_{\text {2A}}$$R5
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