- cQSAR
- clogP
- ClogP/CMR
- MOLEdb
- ChemDB/datasets
- OCHEM
- E-Dragon
- PatternMatchCounter
- avogadro

Examples of QSAR softwares (CADD)


These softwares are used to predict mathematical models which is used to provide insight into the chemical and biological properties of novel compounds.


University of Illinois at Urbana-Champaign

Computer-aided drug design (CADD) utilizes various computational tools, software programs, and resources to facilitate different stages of drug discovery. These tools are categorized based on their specific applications, which include molecular modeling, binding site prediction, homology modeling, toxicity prediction, molecular docking, and virtual screening, alongside essential chemical databases and drawing tools.

Categories of Computer-Aided Drug Design (CADD) Tools

Resources for Computational Drug Discovery. Theoretical and Computational Chemistry Series. Royal Society of Chemistry (2015). https://doi.org/10.1039/9781782622604-00199

Computational resources for drug discovery


Molecular modeling refers to all the theoretical and computational methods used to model the behavior of molecules. Calculation that are relatively simple can be performed by hand, but inevitably computers are required in the molecular modeling of a reasonably sized system.

  Molecular modeling is used to reduce time and cost in the early stages of drug discovery.


Molecular modeling softwares (CADD)



Softwares that use computational methods for the prediction of binding sites. Binding sites are pockets of protein that can be used to bind drugs and this is an important step in the drug design process which can save a lot of resources.


Binding Site Prediction Softwares (CADD)


Homology modeling softwares use computational methods for protein structure prediction from its amino acid sequences.


Homology Modeling  (CADD)

Softwares that predict the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of drugs. 


ADME Toxicity Softwares (CADD)


Softwares that aid with the process of ligand-based drug design  which  relies on the knowledge of molecules that bind to the biological target.


Ligand Design Software (CADD)

Draw tools allow researchers to sketch chemical compounds, structures, and reactions.

Draw Tools (CADD)

Chemical databases can speed up the computational methods to build a  hypothesis for the discovery and design of a new drug thereby reducing time and cost. There are large amounts of chemical information available as public chemical databases that researchers can make use of.


Databases (CADD)

Docking is used to predict the preferred orientation of a molecule when it binds to another to form a stable complex. Docking softwares aid drug design by predicting intermolecular frameworks between proteins and proteins or proteins and small molecules.


Docking Softwares (CADD)


These softwares make use of virtual screening tools to predict structures that are most likely to bind to a drug target.


Screening Software (CADD)


Software used to calculate the binding affinities of compounds to their primary target. This allows researchers to concentrate efforts on more promising compounds, thereby speeding up the drug development process.

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