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 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
Design, synthesis, pharmacological evaluation and computational modeling of 4-formyl-2-nitrophenyl quinoline-8-sulfonate derived thiosemicarbazones as antidiabetic agents16
Harnessing formaldehyde detection: novel metal-doped coronene sensors to combat pollution and enable early lung cancer diagnosis16
“Heptadecanol” a phytochemical multi-target inhibitor of SMYD3 & GFPT2 proteins in non-small cell lung cancer: an in-silico & in-vitro investigation15
Computational investigation on the properties of alkoxysilyl-anchored near-infrared porphyrin dyes for application in dye-sensitized solar cells12
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
Unveiling a novel ellagic acid derivative as a potent lipoxygenase (LOX) inhibitor: integration of computational modeling and experimental validation11
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
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
Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors8
Improvement of multi-task learning by data enrichment: application for drug discovery8
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
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
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
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
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
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
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
Calibrating the gap: a user-friendly aqueous $$\text{p}K_a$$ prediction protocol for organic acids, alcohols, and amines4
Combining crystallographic and binding affinity data towards a novel dataset of small molecule overlays4
Correction to: Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT4
Structural impacts of two disease-linked ADAR1 mutants: a molecular dynamics study4
Designing novel FAK inhibitors targeting gastric cancer: a combined approach using machine learning, docking analysis, molecular dynamics simulations, and experimental validation4
Enhancement by pyrazolones of colistin efficacy against mcr-1-expressing E. coli: an in silico and in vitro investigation4
Anticancer potential of 2,2′-bipyridine hydroxamic acid derivatives in head and neck cancer therapy4
Theoretical insights into the optoelectronic and charge-transfer characteristics of 5-(1H-1,2,4-triazol-1-yl)-2-thiophenecarboxylic acid4
Theoretical investigation of AKT1 mutations in breast cancer: a computational approach to structural and functional insights4
The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations4
Design and evaluation of novel thiazolidinedione-oxadiazole derivatives as potent α-amylase inhibitors for antidiabetic therapy4
Enabling data-limited chemical bioactivity predictions through deep neural network transfer learning4
Molecular dynamics simulations reveal mechanistic insights into aptamer-induced structural rearrangements in viral capsid proteins4
Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state4
AI-driven peptide discovery for endometrial cancer: deep generative modeling and molecular simulation in the big data era4
Reactivities of acrylamide warheads toward cysteine targets: a QM/ML approach to covalent inhibitor design4
μOR-ligand: target-aware view-based hybrid feature selection for μ-opioid receptor ligand functional classification4
Multitarget-directed ligands in Alzheimer’s disease: identification of AChE and BACE1 inhibitors by in silico approaches4
Evaluation of Protein-Ligand binding interactions of alkaline phosphatase inhibitors by Quantum-Mechanical methods4
Disrupting tuberculosis pathogenesis by targeting DprE1 in cell wall biosynthesis: a structural dynamics perspective4
Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay4
Phenolic-based allosteric inhibition of PTP1B: unlocking new therapeutic potential for metabolic disorders4
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 q4
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors4
Therapeutic potential of [(8-hydroxyquinolin-7-yl)(phenyl)methylamino] benzoic acid regioisomers against human-intoxicating botulinum neurotoxin serotypes: computational modeling to in vivo protection4
Structure-based pose prediction: Non-cognate docking extended to macrocyclic ligands4
Thermodynamic free energy map for the non-oxidative glycolysis pathways3
OPTUNA optimization for predicting chemical respiratory toxicity using ML models3
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
Quantum algorithm for protein-ligand docking sites identification in the interaction space3
Design, synthesis, and integrated in silico analysis of novel difluoroboron curcumin analogues as potent inhibitors of the K562 leukemia cell line3
TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection3
Protein domain movement involved in binding of belinostat and HPOB as inhibitors of histone deacetylase 6 (HDAC6): a hybrid automated-interactive docking study3
The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases3
Prospects for the structure‒function evolution of SARS-CoV-2 main protease inhibitors3
Correction: Exploring DrugCentral: from molecular structures to clinical effects3
Investigating the ameliorative effect of Kalanchoe pinnata on neuroinflammation-associated Alzheimer’s disease using network pharmacology, molecular docking, and in vitro studies3
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
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison3
HCV genotyping and rational computational designing of an immunogenic multiepitope vaccine against genotype 3a3
Integrative design and optimization of bioactive schiff bases using computational intelligence and molecular modeling3
Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling3
Evaluation of novel topiramate–phenolic acid conjugates as potent pancreatic α-amylase inhibitors: in vitro and in silico insights3
Identification of hub necroptosis-related targets and discovery of potential natural inhibitors in ulcerative colitis based on bioinformatics and computer-aided drug design3
Ultrasonication-assisted green synthesis, in silico EGFR-binding analysis, and cytotoxic evaluation of nitro-perimidines for non-small cell lung cancer3
Synergistic approach utilizing bioinformatics, machine learning, and traditional screening for the identification of novel CSK inhibitors targeting hepatocellular carcinoma3
Prot2Prot: a deep learning model for rapid, photorealistic macromolecular visualization3
TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa3
Computational prioritization of multi-target inhibitors: explainable QSAR and docking-based discovery of dual AChE/BACE1 chemotypes3
Medt5-bi: bidirectional translation between drug indications and molecular structures using a chemically-aware transformer3
Computational exploration and molecular dynamics simulations for investigating the potential inhibitory mechanism of amantadine on the ion channel activity of bovine viral diarrhea virus p72
Gene-based lung cancer detection system through omix data and optimized convolutional neural network2
On the relevance of query definition in the performance of 3D ligand-based virtual screening2
Pistagremic acid from Pistacia integerrima as a natural multi-target candidate tackling crucial enzymes involved in Alzheimer’s disease2
Toxigraphnet: a graph neural network framework for precise toxicity prediction of drug molecules2
Rethinking the applicability domain analysis in QSAR models2
AI-powered IC50 prediction for p53 inhibitors drug-target interaction via hybrid graph neural networks2
Deep learning-guided rational engineering of synergistic PD-1 and LAG-3 blockade for enhanced tumor immunomodulation2
Deciphering the sequence-dependent unfolding pathways of an RNA pseudoknot with steered molecular dynamics2
Assembling of phenyl substituted halogens in the C3-position of substituted isatins by mono wave assisted synthesis: development of a new class of monoamine oxidase inhibitors2
Structure-based design of alicyclic fused pyrazole derivatives for targeting TGF-β receptor I kinase: molecular docking and dynamics insights2
Machine Learning–Integrated Pharmacophore, DFT Analysis, and molecular dynamics of Diosmetin as a potent ache inhibitor with neuroprotective activity in a Scopolamine-Induced alzheimer’s zebrafish mod2
Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability2
A combined ligand and target-based virtual screening strategy to repurpose drugs as putrescine uptake inhibitors with trypanocidal activity2
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information2
Elucidating ligand recognition of reductive dehalogenases: the role of hydrophobic active site in organohalogen binding2
Ligand and structure-based toxicological assessment of (thio)semicarbazones on cholinesterases2
Jervine-induced suppression of triple-negative breast cancer (TNBC) cells growth through the regulation of Wnt signaling pathway- an in-silico and in-vitro approach2
Molecular dynamics modeling and spectroscopic property prediction of V-type nerve agents for safe handling2
Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors2
Synthesis, characterization and density functional theory of a novel dichloro(2-(1-anthracene-9-ylmethyl)-1H-1,2,3-triazole-5-yl) pyridine)Cu(II) and polymeric dichloro(2-(1-anthracene-9-ylmethyl)-1H-2
ADis-QSAR: a machine learning model based on biological activity differences of compounds2
Correction: Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design2
Elucidating the potential effects of point mutations on FGFR3 inhibitor resistance via combined molecular dynamics simulation and community network analysis2
A Multimodal deep learning method for predicting drug-induced liver injury using structural and sequential molecular representations2
Promoter recognition specificity of Corynebacterium glutamicum stress response sigma factors σD and σH deciphered using computer modeling and point mutagenesis2
OFraMP: a fragment-based tool to facilitate the parametrization of large molecules2
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
Convolidine as potent BACE1 inhibitor for Alzheimer’s disease; in-silico coupled with in-vitro assessment2
Computational characterization and machine learning analysis of quantum optimized marine fungal metabolites targeting PD-L1 in cancer immunotherapy2
Multidimensional in silico evaluation of fluorine-18 radiopharmaceuticals: integrating pharmacokinetics, ADMET, and clustering for diagnostic stratification2
Comparing massively-multitask regression algorithms for drug discovery2
A coordinative partnership in tungsten chemistry: N-bound isothiocyanate and a tridentate pyrazolone-Schiff base in a hexacoordinate [WO2]2+ complex revealed by DFT and spectroscopy2
A least-squares-fitting procedure for an efficient preclinical ranking of passive transport across the blood–brain barrier endothelium2
0.43507289886475