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 2021-05-01 to 2025-05-01.)
ArticleCitations
Energy-entropy prediction of octanol–water logP of SAMPL7 N-acyl sulfonamide bioisosters120
Computational investigation of functional water molecules in GPCRs bound to G protein or arrestin59
Computational peptide discovery with a genetic programming approach53
GPCRLigNet: rapid screening for GPCR active ligands using machine learning45
In silico exploration of natural xanthone derivatives as potential inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication and cellular entry38
Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo35
A high quality, industrial data set for binding affinity prediction: performance comparison in different early drug discovery scenarios22
PoseEdit: enhanced ligand binding mode communication by interactive 2D diagrams21
Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: II. regression and dielectric constant21
QM assisted ML for 19F NMR chemical shift prediction21
Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches20
Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery18
COSMO-RS blind prediction of distribution coefficients and aqueous pKa values from the SAMPL8 challenge17
FastGrow: on-the-fly growing and its application to DYRK1A17
pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants16
Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing15
SAMPL7 physical property prediction from EC-RISM theory14
Correction to: Conformational energies of reference organic molecules: benchmarking of common efficient computational methods against coupled cluster theory14
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 study14
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
Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation13
An overview of the SAMPL8 host–guest binding challenge13
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space13
Binding free energies for the SAMPL8 CB8 “Drugs of Abuse” challenge from umbrella sampling combined with Hamiltonian replica exchange12
Insight into the sequence-specific elements leading to increased DNA bending and ligase-mediated circularization propensity by antitumor trabectedin12
Imputation of sensory properties using deep learning12
User-centric design of a 3D search interface for protein-ligand complexes12
Improvement of multi-task learning by data enrichment: application for drug discovery12
Improving virtual screening results with MM/GBSA and MM/PBSA rescoring11
Development and interpretation of a QSAR model for in vitro breast cancer (MCF-7) cytotoxicity of 2-phenylacrylonitriles11
Contact networks in RNA: a structural bioinformatics study with a new tool11
Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors11
Fine-tuning of a generative neural network for designing multi-target compounds11
Benchmarking ANI potentials as a rescoring function and screening FDA drugs for SARS-CoV-2 Mpro10
On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge10
Molecular docking, dynamics simulations, and in vivo studies of gallic acid in adenine-induced chronic kidney disease: targeting KIM-1 and NGAL10
From closed to open: three dynamic states of membrane-bound cytochrome P450 3A410
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds9
Extended continuous similarity indices: theory and application for QSAR descriptor selection9
Comparing classification models—a practical tutorial9
Molecular dynamics simulations reveal the inhibition mechanism of Cdc42 by RhoGDI19
Molecular and thermodynamic insights into interfacial interactions between collagen and cellulose investigated by molecular dynamics simulation and umbrella sampling8
Prediction of n-octanol/water partition coefficients and acidity constants (pKa) in the SAMPL7 blind challenge with the IEFPCM-MST model8
Comparative assessment of physics-based in silico methods to calculate relative solubilities8
Steered molecular dynamics simulation as a post-process to optimize the iBRAB-designed Fab model8
Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay8
Reliable gas-phase tautomer equilibria of drug-like molecule scaffolds and the issue of continuum solvation8
Exploring DrugCentral: from molecular structures to clinical effects8
In silico design of dehydrophenylalanine containing peptide activators of glucokinase using pharmacophore modelling, molecular dynamics and machine learning: implications in type 2 diabetes8
Combining crystallographic and binding affinity data towards a novel dataset of small molecule overlays8
Comparison of logP and logD correction models trained with public and proprietary data sets8
MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics8
Exploring the anti-diabetic potential of the Vigna sesquipedalis using in vitro, in vivo and computational models8
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal8
Turbo prediction: a new approach for bioactivity prediction7
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors7
Correction to: Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT7
Structural impacts of two disease-linked ADAR1 mutants: a molecular dynamics study7
Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state7
From mundane to surprising nonadditivity: drivers and impact on ML models7
Evaluation of interactions between the hepatitis C virus NS3/4A and sulfonamidobenzamide based molecules using molecular docking, molecular dynamics simulations and binding free energy calculations6
Simplified, interpretable graph convolutional neural networks for small molecule activity prediction6
Structure-based pose prediction: Non-cognate docking extended to macrocyclic ligands6
Using diverse potentials and scoring functions for the development of improved machine-learned models for protein–ligand affinity and docking pose prediction6
Reactivities of acrylamide warheads toward cysteine targets: a QM/ML approach to covalent inhibitor design6
TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection6
Enabling data-limited chemical bioactivity predictions through deep neural network transfer learning6
Enhancement by pyrazolones of colistin efficacy against mcr-1-expressing E. coli: an in silico and in vitro investigation6
The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations6
Molecular mechanism of thiamine pyrophosphate import into mitochondria: a molecular simulation study6
Automated high throughput pKa and distribution coefficient measurements of pharmaceutical compounds for the SAMPL8 blind prediction challenge6
On the construction of LIECE models for the serotonin receptor 5-HT$$_{\text {2A}}$$R6
Exploring aromatic cage flexibility of the histone methyllysine reader protein Spindlin1 and its impact on binding mode prediction: an in silico study6
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 q6
Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge6
Crystal polymorphism and spectroscopical properties of sulfonamides in solid state by means of First Principles calculations6
Structure-based virtual screening workflow to identify antivirals targeting HIV-1 capsid6
Identification of HPr kinase/phosphorylase inhibitors: novel antimicrobials against resistant Enterococcus faecalis5
The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases5
Synthesis, TD-DFT calculations, molecular docking and ADME studies of new spiro-oxindole derivatives containing 5(4H)-oxazolone as anti-viral and anti-bacterial agents5
TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa5
Correction: Exploring DrugCentral: from molecular structures to clinical effects5
Is there a common allosteric binding site for G-protein coupled receptors?5
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison5
Prot2Prot: a deep learning model for rapid, photorealistic macromolecular visualization5
Best practices for repurposing studies5
In silico identification and in vitro antiviral validation of potential inhibitors against Chikungunya virus5
A least-squares-fitting procedure for an efficient preclinical ranking of passive transport across the blood–brain barrier endothelium4
On the force field optimisation of $$\beta$$-lactam cores using the force field Toolkit4
Identifying signatures of proteolytic stability and monomeric propensity in O-glycosylated insulin using molecular simulation4
Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability4
Promoter recognition specificity of Corynebacterium glutamicum stress response sigma factors σD and σH deciphered using computer modeling and point mutagenesis4
OPTUNA optimization for predicting chemical respiratory toxicity using ML models4
Convolidine as potent BACE1 inhibitor for Alzheimer’s disease; in-silico coupled with in-vitro assessment4
Rethinking the applicability domain analysis in QSAR models4
Elucidating the potential effects of point mutations on FGFR3 inhibitor resistance via combined molecular dynamics simulation and community network analysis4
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information4
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors4
ADis-QSAR: a machine learning model based on biological activity differences of compounds4
Quantum simulations of SARS-CoV-2 main protease Mpro enable high-quality scoring of diverse ligands4
Deciphering the sequence-dependent unfolding pathways of an RNA pseudoknot with steered molecular dynamics4
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 calculations4
Correction: Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design4
ChemFlow_py: a flexible toolkit for docking and rescoring3
SAMPL7 blind challenge: quantum–mechanical prediction of partition coefficients and acid dissociation constants for small drug-like molecules3
Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules3
Binding site identification of G protein-coupled receptors through a 3D Zernike polynomials-based method: application to C. elegans olfactory receptors3
Fine tuning for success in structure-based virtual screening3
Computational investigation to identify multi-targeted anti-hyperglycemic potential of substituted 2-Mercaptobenzimidazole derivatives and synthesis of new α-glucosidase inhibitors3
Des3PI: a fragment-based approach to design cyclic peptides targeting protein–protein interactions3
Identifying and characterising promising small molecule inhibitors of kinesin spindle protein using ligand-based virtual screening, molecular docking, molecular dynamics and MM‑GBSA calculations3
A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat3
Molecular dynamics simulations as a guide for modulating small molecule aggregation3
OFraMP: a fragment-based tool to facilitate the parametrization of large molecules3
A combined ligand and target-based virtual screening strategy to repurpose drugs as putrescine uptake inhibitors with trypanocidal activity3
Consensus scoring evaluated using the GPCR-Bench dataset: Reconsidering the role of MM/GBSA3
The power of a mentor3
Identification of a druggable site on GRP78 at the GRP78-SARS-CoV-2 interface and virtual screening of compounds to disrupt that interface3
On the relevance of query definition in the performance of 3D ligand-based virtual screening3
0.082016944885254