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 2021-04-01 to 2025-04-01.)
ArticleCitations
Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study112
From closed to open: three dynamic states of membrane-bound cytochrome P450 3A458
Molecular docking, dynamics simulations, and in vivo studies of gallic acid in adenine-induced chronic kidney disease: targeting KIM-1 and NGAL51
Discovery of novel IDO1 inhibitors via structure-based virtual screening and biological assays42
On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge38
Computational peptide discovery with a genetic programming approach34
GPCRLigNet: rapid screening for GPCR active ligands using machine learning22
Promoter recognition specificity of Corynebacterium glutamicum stress response sigma factors σD and σH deciphered using computer modeling and point mutagenesis21
Energy-entropy prediction of octanol–water logP of SAMPL7 N-acyl sulfonamide bioisosters20
Elucidating the potential effects of point mutations on FGFR3 inhibitor resistance via combined molecular dynamics simulation and community network analysis17
High-throughput virtual screening and preclinical analysis identifies CB-1, a novel potent dual B-Raf/c-Raf inhibitor, effective against wild and mutant variants of B-Raf expression in colorectal carc17
On the relevance of query definition in the performance of 3D ligand-based virtual screening17
SpaceGrow: efficient shape-based virtual screening of billion-sized combinatorial fragment spaces16
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 calculations16
Extended continuous similarity indices: theory and application for QSAR descriptor selection16
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information15
Benchmarking ANI potentials as a rescoring function and screening FDA drugs for SARS-CoV-2 Mpro14
Explicit solvation thermodynamics in ionic solution: extending grid inhomogeneous solvation theory to solvation free energy of salt–water mixtures14
Computational Identification and Illustrative Standard for Representation of Unimolecular G-Quadruplex Secondary Structures (CIIS-GQ)14
MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras13
Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge13
Correlation of protein binding pocket properties with hits’ chemistries used in generation of ultra-large virtual libraries13
Progress on open chemoinformatic tools for expanding and exploring the chemical space13
Computational investigation of functional water molecules in GPCRs bound to G protein or arrestin13
Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge12
Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge12
Ligand binding: evaluating the contribution of the water molecules network using the Fragment Molecular Orbital method11
OFraMP: a fragment-based tool to facilitate the parametrization of large molecules11
Reliable gas-phase tautomer equilibria of drug-like molecule scaffolds and the issue of continuum solvation11
Evaluation of interactions between the hepatitis C virus NS3/4A and sulfonamidobenzamide based molecules using molecular docking, molecular dynamics simulations and binding free energy calculations11
Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: I. Standard procedure10
Molecular and thermodynamic insights into interfacial interactions between collagen and cellulose investigated by molecular dynamics simulation and umbrella sampling10
Using diverse potentials and scoring functions for the development of improved machine-learned models for protein–ligand affinity and docking pose prediction10
Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo10
Comparing classification models—a practical tutorial10
A combined ligand and target-based virtual screening strategy to repurpose drugs as putrescine uptake inhibitors with trypanocidal activity9
Molecule auto-correction to facilitate molecular design9
Des3PI: a fragment-based approach to design cyclic peptides targeting protein–protein interactions9
Molecular mechanism of thiamine pyrophosphate import into mitochondria: a molecular simulation study9
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds9
Affinity prediction using deep learning based on SMILES input for D3R grand challenge 48
SAMPL7 blind challenge: quantum–mechanical prediction of partition coefficients and acid dissociation constants for small drug-like molecules8
ChemFlow_py: a flexible toolkit for docking and rescoring8
RestraintMaker: a graph-based approach to select distance restraints in free-energy calculations with dual topology8
A replica exchange umbrella sampling (REUS) approach to predict host–guest binding free energies in SAMPL8 challenge8
Structure-based virtual screening workflow to identify antivirals targeting HIV-1 capsid8
Predicting octanol/water partition coefficients using molecular simulation for the SAMPL7 challenge: comparing the use of neat and water saturated 1-octanol8
Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: II. regression and dielectric constant8
Role of water coordination at zinc binding site and its catalytic pathway of dizinc creatininase: insights from quantum cluster approach7
PoseEdit: enhanced ligand binding mode communication by interactive 2D diagrams7
Predicting octanol/water partition coefficients and pKa for the SAMPL7 challenge using the SM12, SM8 and SMD solvation models7
QM assisted ML for 19F NMR chemical shift prediction7
TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection7
Encoding mu-opioid receptor biased agonism with interaction fingerprints7
Reactivities of acrylamide warheads toward cysteine targets: a QM/ML approach to covalent inhibitor design7
Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery6
pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants6
Consensus scoring evaluated using the GPCR-Bench dataset: Reconsidering the role of MM/GBSA6
Crystal polymorphism and spectroscopical properties of sulfonamides in solid state by means of First Principles calculations6
Automated high throughput pKa and distribution coefficient measurements of pharmaceutical compounds for the SAMPL8 blind prediction challenge6
Molecular dynamics simulations reveal the inhibition mechanism of Cdc42 by RhoGDI16
De novo drug design as GPT language modeling: large chemistry models with supervised and reinforcement learning6
Insight into the mechanism of molecular recognition between human Integrin-Linked Kinase and Cpd22 and its implication at atomic level6
In silico exploration of natural xanthone derivatives as potential inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication and cellular entry6
Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches6
Conformational energies of reference organic molecules: benchmarking of common efficient computational methods against coupled cluster theory6
Stacking Gaussian processes to improve $$pK_a$$ predictions in the SAMPL7 challenge6
A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat6
Elucidating allosteric signal disruption in PBP2a: impact of N146K/E150K mutations on ceftaroline resistance in methicillin-resistant Staphylococcus aureus6
Study of SQ109 analogs binding to mycobacterium MmpL3 transporter using MD simulations and alchemical relative binding free energy calculations6
Computational investigation to identify multi-targeted anti-hyperglycemic potential of substituted 2-Mercaptobenzimidazole derivatives and synthesis of new α-glucosidase inhibitors6
Fine tuning for success in structure-based virtual screening6
A high quality, industrial data set for binding affinity prediction: performance comparison in different early drug discovery scenarios6
Comparison of logP and logD correction models trained with public and proprietary data sets6
Prot2Prot: a deep learning model for rapid, photorealistic macromolecular visualization5
The in silico identification of novel broad-spectrum antidotes for poisoning by organophosphate anticholinesterases5
Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules5
Examining unsupervised ensemble learning using spectroscopy data of organic compounds5
RDPSOVina: the random drift particle swarm optimization for protein–ligand docking5
Identifying and characterising promising small molecule inhibitors of kinesin spindle protein using ligand-based virtual screening, molecular docking, molecular dynamics and MM‑GBSA calculations5
Design of new imidazole derivatives with anti-HCMV activity: QSAR modeling, synthesis and biological testing5
COSMO-RS blind prediction of distribution coefficients and aqueous pKa values from the SAMPL8 challenge5
Integrated data-driven and experimental approaches to accelerate lead optimization targeting SARS-CoV-2 main protease5
Inhibition mechanism of MRTX1133 on KRASG12D: a molecular dynamics simulation and Markov state model study5
Identification of HPr kinase/phosphorylase inhibitors: novel antimicrobials against resistant Enterococcus faecalis5
In silico identification and in vitro antiviral validation of potential inhibitors against Chikungunya virus4
Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning4
From UK-2A to florylpicoxamid: Active learning to identify a mimic of a macrocyclic natural product4
Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge4
Discovering promising drug candidates for Parkinson’s disease: integrating miRNA and DEG analysis with molecular dynamics and MMPBSA4
Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES4
Molecular dynamics simulations as a guide for modulating small molecule aggregation4
Deciphering the molecular choreography of Janus kinase 2 inhibition via Gaussian accelerated molecular dynamics simulations: a dynamic odyssey4
Understanding the relationship between preferential interactions of peptides in water-acetonitrile mixtures with protein-solvent contact surface area4
TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa4
FitScore: a fast machine learning-based score for 3D virtual screening enrichment4
The power of a mentor4
Prediction of n-octanol/water partition coefficients and acidity constants (pKa) in the SAMPL7 blind challenge with the IEFPCM-MST model4
Molecular dynamics study on micelle-small molecule interactions: developing a strategy for an extensive comparison4
FastGrow: on-the-fly growing and its application to DYRK1A4
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides3
Identification of a druggable site on GRP78 at the GRP78-SARS-CoV-2 interface and virtual screening of compounds to disrupt that interface3
Binding site identification of G protein-coupled receptors through a 3D Zernike polynomials-based method: application to C. elegans olfactory receptors3
SAMPL7 physical property prediction from EC-RISM theory3
Data-informed reparameterization of modified RNA and the effect of explicit water models: application to pseudouridine and derivatives3
Correction to: Conformational energies of reference organic molecules: benchmarking of common efficient computational methods against coupled cluster theory3
Correction to: Assessing the performance of docking, FEP, and MM/GBSA methods on a series of KLK6 inhibitors3
Predicting partition coefficients for the SAMPL7 physical property challenge using the ClassicalGSG method3
Multi-targeted benzylpiperidine–isatin hybrids: Design, synthesis, biological and in silico evaluation as monoamine oxidases and acetylcholinesterase inhibitors for neurodegenerative disease therapies3
Exploring the interaction mechanism between antagonist and the jasmonate receptor complex by molecular dynamics simulation3
Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study3
Exploring DrugCentral: from molecular structures to clinical effects3
Unveiling the G4-PAMAM capacity to bind and protect Ang-(1-7) bioactive peptide by molecular dynamics simulations3
Galileo: Three-dimensional searching in large combinatorial fragment spaces on the example of pharmacophores3
From oncoproteins to spike proteins: the evaluation of intramolecular stability using hydropathic force field3
Insight on the mechanism of hexameric Pseudin-4 against bacterial membrane-mimetic environment3
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