LigandScout 4.5
The Gold Standard for Advanced 3D-Pharmacophore Technology
User Friendly Advanced Molecular Design
LigandScout 4.5 Expert is the most user-friendly, fully integrated molecular design suite, powered by our award winning 3D-pharmacophore modeling and high-speed virtual screening technology. As a highly validated and trusted platform licensed in 88 countries, it has been cited in more than 3,900 research articles to accelerate drug discovery and provide actionable structural insights for med chem design. LigandScout 4.5 features unique advanced pharmacophore technology including dynamic and apo-pharmacophores, convenient docking and the power of LigandScout Remote, allowing for seamless execution on high-performance computing (HPC) clusters and cloud environments like AWS. This ensures that even the most demanding virtual screening and library generation tasks are handled with unprecedented speed and scalability, directly from your desktop interface.
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LigandScout Scientific Excellence
The LigandScout software suite comprises the most user friendly molecular design tools available to chemists and modelers worldwide. The platform seamlessly integrates computational technology for designing, filtering, searching and prioritizing molecules for synthesis and biological assessment.
Our advanced algorithms for 3D pharmacophore modeling, virtual screening, activity profiling and virtual library design create an inspiring and productive experience for multidisciplinary teams. By providing excellent prediction quality with unprecedented speed, LigandScout successfully addresses challenges in modern drug discovery.
Features Overview
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Available Options
LigandScout 4.5 Essential, LigandScout 4.5 Advanced, and LigandScout 4.5 Expert.
LigandScout 4.5 Expert Extensions for KNIME.
LigandScout 4.5 Feature Comparison
LigandScout 4.5 Essential
- Structure-Based Pharmacophore Modelling
- Ligand-Based Pharmacophore Modelling (espresso)
- Screening Library Generation (idbgen)
- Parallel High Performance Virtual Screening
- Model Validation (automated ROC curve)
- Hit Triaging with Extended Table Filtering & Export
- High Speed 3D-Conformer Generator (iCon)
- Tautomer Generator
- Unique clustering and alignments
- Analysis and Rescoring of Docked Poses
- Pharmacophore-Based Alignment & Clustering
- 2D-Molecular Editor
- 3D-Molecular and Pharmacophore editing
- Data management tools
- Full Set of Command Line Tools
LigandScout 4.5 Advanced
All features in LigandScout Essential plus:
- Pocket Finder
- Apo-Site Pharmacophore Modeling
- Integrated and Convenient Molecular Docking
- Molecular Dynamics Trajectories Import
- Interactive Molecular Property Graphs
- Interactive Ligand Binding Affinity Estimation
- Interactive Molecule Design
LigandScout Expert
All features in LigandScout Advanced plus
- Interactive MD Trajectories Analysis
- Virtual Screening with Dynamic Pharmacophores
- LigandScout Remote (Remote Execution on HPC or AWS)
LigandScout Advanced 3D-Pharmacophores
Predictive Power
At the heart of LigandScout's immense predictive power is its unique next-generation 3D-pharmacophore modeling technology, which fundamentally redefines the landscape of rational molecular design. Moving beyond traditional, simplified feature definitions, this advanced platform allows researchers to construct highly nuanced models that accurately capture the profound complexities of protein-ligand recognition. It effortlessly incorporates advanced interaction types — such as halogen bonds, precise metal coordination spheres, and dynamic water networks — ensuring that every critical energetic contributor within the binding pocket is meticulously accounted for.
Intuitive User-Centric Experience
Despite this unparalleled level of computational sophistication, all of our LigandScout platforms remain fiercely dedicated to an incredibly intuitive, user-centric experience. Through its beautifully rendered, fully interactive 3D graphical interface, medicinal chemists can automatically extract complex, structure-based pharmacophore models from crystallographic or MD-derived complexes with a single click, or intuitively build ligand-based models from scratch using simple visual tools.
This seamless environment instantly translates abstract chemical data into actionable, easy-to-understand 3D geometries useful for hit finding, establishing SAR and lead optimization.
Empowers Design
By removing steep learning curves, the software empowers scientists to visually interrogate binding poses, rapidly modify lead scaffolds directly within the active site, and instantly evaluate the impact of structural changes on the overall pharmacophore fit and relative binding affinities.
Ultimately, LigandScout ensures that state-of-the-art computational design is not just an isolated tool for modeling experts, but an indispensable, highly accessible daily companion for every researcher striving to design safer, more efficacious clinical candidates.
Structure-Based Pharmacophore Design
- State-of-the-art user interface with advanced 3D graphics
- Automatic interpretation of PDB ligands using geometry, dictionaries and rules
- Advanced PDB ligand perception and easy manual correction while modeling in the active site
- Fast alignment of molecules in their bio-active conformation to other molecules and 3D pharmacophores from several ligands and/or pharmacophores,
- Derive shared- and merged feature pharmacophores automatically to understand SAR and model the relevant mode of action
- Advanced handling of co-factors, ions, water molecules and covalently bound ligand
- Extensive parameter control for more experienced users
- Intuitive pharmacophore-based alignment of molecules
- Sophisticated file and repository management of edited and stored binding sites, molecules and pharmacophores
- Smart enumeration of tautomers and analysis
Ligand-Based Pharmacophore Design
- Ligand-based pharmacophore modeling, including automatic classification of chemical features, feature weights and generation of exclusion volume spheres
- Automated training set selection by pharmacophore-based cluster analysis
- Data analysis and visualization tools to select molecules for modeling, establish and understand SAR
Interactive Molecular Design
- Edit and design new molecules in the binding site
- Get interactive feedback on the designs (interactions and binding affinity).
- Create a library of new designs in an easy informative workflow.
Dynamic Pharmacophores and MD Trajectory Analysis
The first to bring dynamic pharmacophores to the forefront of molecular design, we have transformed complex molecular dynamics (MD) simulation data into an accessible, high-impact asset for molecular design. Our unique MD analysis tools bridge the gap between biophysical complexity and practical drug discovery, allowing you to seamlessly integrate structural flexibility into lead optimization and hit finding campaigns with dynamic pharmacophores. By turning massive simulation trajectories into intuitive, actionable models, we empower you to extract even more valuable information from your MD simulations.
- Import MD Trajectories (several MD formats support)
- Generate and save dynamic pharmacophores
- Use dynamic pharmacophores in virtual screening campaigns .
- Use our MD analysis tools to further analyze interactions, flexibility and stability and make informed decisions for molecular design.
Fast and Accurate Virtual Screening
Unique High Performing VS
At the core of our platform is iscreen, a unique virtual screening algorithm engineered to bridge the gap between speed and accuracy. By utilizing advanced matching heuristics, it rapidly identifies promising hits from vast libraries while maintaining the rigorous precision of our 3D-pharmacophore models.
User your structure-, ligand-based, Apo and dynamic pharmacophores in vitual screening campaigns for
- High performance accurate virtual screening with automated analysis of screening performance using ROC curves and enrichment factor calculations
- Simple workflows for boolean combination of target and anti-target pharmacophore models
- Advanced options and parallel screening
- Hits are scored for ranking and can be further analyzed in the binding sites using various tools including convenient docking and binding affinity rescoring, interaction analysis among others.
LigandScout Remote
LigandScout Remote, unlocks the full power of high-performance computing (HPC) and cloud resources directly from the desktop. Designed to bridge the gap between advanced computational chemistry and user-friendly accessibility, LigandScout Remote seamlessly integrates remote cluster execution into the familiar LigandScout graphical interface. Whether you are screening massive compound databases or performing rapid 3D conformer generation, the LigandScout Remote handles all data conversion, network communication, and job scheduling behind the scenes. By eliminating the need for command-line expertise and tedious manual file transfers, LigandScout Remote empowers researchers to combine the intuitive, day-to-day usability of a local desktop application with the immense processing capabilities of modern HPC environments.
Molecular Docking
Experience a paradigm shift in structure-based drug design with LigandScout’s Interactive Molecular Docking. We have completely reimagined the docking workflow, transforming what is traditionally a complex, command-line-driven process into an intuitive, highly visual experience directly within the LigandScout graphical user interface. Setting up a docking experiment is remarkably user-friendly. With a few clicks, researchers can effortlessly define all of the needed parameters without requiring any advanced scripting expertise. This seamless, visual integration allows you to interactively explore binding hypotheses in real-time, making it easier than ever to rapidly assess how structural modifications might impact ligand-receptor interactions.
Behind this streamlined setup lies robust, industry-proven computational power. LigandScout comes fully equipped with natively integrated, high-quality docking engines, giving you direct access to the gold standards in the field: AutoDock, AutoDock Vina, and AutoDock VinaXB. Whether you require the highly parameterized, exhaustive conformational sampling of AutoDock or the blazing speed and predictive accuracy of AutoDock Vina for efficient screening, you have the exact right tool at your fingertips. Furthermore, the specialized inclusion of AutoDock VinaXB ensures that complex, non-standard interactions—such as directional halogen bonding—are accurately modeled and scored. Together, these built-in methods provide a comprehensive, highly reliable docking suite that meets the rigorous demands of modern drug discovery while remaining incredibly easy to use.
LigandScout Screenshot Gallery
Selection of screenshots from LigandScout.
Structure-Based Pharmacophore Creation and Editing
Binding Site Visualization and Analysis
VS Results Analysis and 3D-Pharmacophore Scoring
LigandScout Visual Semantics
Main Icon Overview
We integrated visually pleasing design elements to represent toolbar actions for a pleasant and user-friendly experience while modeling with LigandScout.
All icons can easily be overlaid according to the main icon basic grid (in the center below).
We hope you enjoy modeling with LigandScout!
Publications
Primary References
- Wolber, G.; Langer, T.; LigandScout: 3-D Pharmacophores Derived from Protein-Bound Ligands and Their Use as Virtual Screening Filters J. Chem. Inf. Model; 2005; 45(1); 160-169. DOI: 10.1021/ci049885e
- Wolber, G.; Dornhofer, A. A.; Langer, T.; Efficient overlay of small organic molecules using 3D pharmacophores J. Comput. Aided Mol. Des.; 2007; 20(12); 773-788. DOI: 10.1007/s10822-006-9078-7
- Kainrad T., Hunold S., Seidel T., Langer T.; LigandScout Remote: A New User-Friendly Interface for HPC and Cloud Resources
J. Chem. Inf. Model; 2018. DOI: 10.1021/acs.jcim.8b00716 - Seidel, T., Bryant, S.D., Ibis, G., Poli, G. and Langer, T. (2017). 3D Pharmacophore Modeling Techniques in Computer-Aided Molecular Design Using LigandScout. In Tutorials in Chemoinformatics, A. Varnek (Ed.). DOI: 10.1002/9781119161110.ch20
Application Articles
- Karaboga, A. S.; Planesas, J. M.; Petronin, F.; Teixido, F; Souchet, M.; Perez-Nueno, I. V. Highly SpecIfic and Sensitive Pharmacophore Model for Identifying CXCR4 Antagonists. Comparison with Docking and Shape-Matching Virtual Screening Performance Journal of Chemical Information and Modeling; 2013; 53, 1043-1056.
DOI:10.1021/ci400037y - Millard M, Müldür KD, Kilian J, Mair V, Holzer W, Hacker M, Langer T, Ozenil M, Pichler V. Synthesis, in silico and in vitro evaluation of N-phenylbenzimidazole derivatives targeting muscarinic acetylcholine receptors. Bioorganic Chemistry, Vol.178, 2026, 109932. DOI: 10.1016/j.bioorg.2026.109932.
- Dermawan D, Elbouamri L, Chtita S, Alotaiq N. Molecular Insights into Bromocriptine Binding to GPCRs Within Histamine-Linked Signaling Networks: Network Pharmacology, Pharmacophore Modeling, and Molecular Dynamics Simulation. Int J Mol Sci. 2025 Sep 7;26(17):8717. DOI: 10.3390/ijms26178717.
- Tillmanns J, Battisti V, Kicuntod J, Hahn F, Obergfäll D, Geiger P, Wagner S, Buschmann H, Lesch B, Lischka P, Sticht H, Langer T, Marschall M. The conserved core nuclear egress complex (NEC) as an antiherpesviral drug target: Pharmacophore-based identification of NEC-specific inhibitors. Antiviral Research,Vol. 239, 2025,106168. DOI: 10.1016/j.antiviral.2025.106168.
- Heider J, Kilian J, Garifulina A, Hering S, Langer T, Seidel T. Apo2ph4: A Versatile Workflow for the Generation of Receptor-based Pharmacophore Models for Virtual Screening. Journal of Chemical Information and Modeling 2023 63 (1), 101-110. DOI: 10.1021/acs.jcim.2c00814
- Gallego, R.A., Bernier, L., Chen, H., Cho-Schultz, S., Chung, L., Collins, M., Del Bel, M., Elleraas, J., Costa Jones, C., Cronin, C.N. and Edwards, M., 2023. Design and synthesis of functionally active 5-amino-6-aryl pyrrolopyrimidine inhibitors of hematopoietic progenitor kinase 1. Journal of Medicinal Chemistry, 66(7), pp.4888-4909.
- Culletta, G.; Tutone, M.; Ettari, R.; Perricone, U.; Di Chio, C.; Almerico, A.M.; Zappalà, M. Virtual Screening Strategy and In Vitro Tests to Identify New Inhibitors of the Immunoproteasome. Int. J. Mol. Sci. 2023, 24, 10504. DOI: 10.3390/ijms241310504
- L.De Luca, A.Angeli, F.Ricci, C. T.Supuran, R.Gitto. Structure-guided identification of a selective sulfonamide-based inhibitor targeting the human carbonic anhydrase VA isoform. Arch. Pharm. 2023;356:e2200383. DOI: 10.1002/ardp.202200383.
- Guzelj, S.; Tomašič, T.; Jakopin, Ž. Novel Scaffolds for Modulation of NOD2 Identified by Pharmacophore-Based Virtual Screening. Biomolecules 2022, 12, 1054. DOI: 10.3390/biom12081054
- Yoshimori A, Asawa Y, Kawasaki E, Tasaka T, Matsuda S, Sekikawa T, Tanabe S, Neya M, Natsugari H, Kanai C. Design and Synthesis of DDR1 Inhibitors with a Desired Pharmacophore Using Deep Generative Models. ChemMedChem. 2021 Mar 18;16(6):955-958. DOI: 10.1002/cmdc.202000786.
- Tomašič, T.; Durcik, M.; Keegan, B.M.; Skledar, D.G.; Zajec, Ž.; Blagg, B.S.J.; Bryant, S.D. Discovery of Novel Hsp90 C-Terminal Inhibitors Using 3D-Pharmacophores Derived from Molecular Dynamics Simulations. Int. J. Mol. Sci. 2020, 21, 6898. DOI: 10.3390/ijms21186898
