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AIDDISON™ AI Drug Discovery

BREAKTHROUGHS IN DRUG DISCOVERY BEGIN HERE

AIDDISON™ software empowers medicinal chemists by streamlining the entire drug discovery process. Leveraging generative AI and advanced CADD methods, AIDDISON™ integrates ligand-based and structure-based approaches into a single, easy-to-use platform. From hit identification to lead optimization, it provides all the tools needed to move from idea to actionable insight with greater efficiency and confidence.


A scientist in a lab coat is seated at a desk, interacting with a computer screen displaying a molecular structure. The screen shows a 3D representation of a protein or complex, with various tools and data options visible on the side.

BENEFITS FOR MEDICINAL CHEMISTS

  • Integrated Solution:  Design, optimize, screen, and plan synthesis in one platform. No more switching between tools or data reformatting.
  • Predictive AI/ML: Virtually screen your molecules using AI/ML models trained on decades of our proprietary R&D data or customize with your own datasets.
  • State-of-the-Art De Novo Design: Generate novel small-molecule libraries with optimized structural and ADMET properties.
  • Cloud-Native Computing Power: Secure, scalable SaaS infrastructure enables quick, reliable computations.
  • Robust Data Security: ISO 27001 certification guarantees industry-standard, end-to-end protection of your data and IP.
  • Cost and Time Savings: In silico methods ensure faster, more reliable decisions from virtual screening to retrosynthesis.

REAL-TIME OPTIMIZATION OF DRUG CANDIDATE SCREENING WITH AIDDISON™ SOFTWARE

An illustration of two molecular structures side by side, showcasing different arrangements of atoms and bonds. The structures are depicted using various colors to represent different elements, with labels indicating functional groups and bonds. The left structure features a complex arrangement, while the right structure includes an amine group (NH₂) at the end.

De Novo Molecular Design

Unlock boundless chemical space using generative AI powered by REINVENT 4.0:

  • Design novel molecules based on user-defined structural similarity, and synthesizability. 
  • Easily explore multi-point R-group replacement and scaffold decoration.
  • Specify up to two different forward reactions for each R-Group replacement to create libraries based on reaction type. 
  • Optimize molecule libraries for QED (Quantitative Estimate of Drug-Likeness), ADMET properties, and binding affinity.
An illustration of a chemical structure featuring interconnected atoms and functional groups. The main structure is outlined in black, with highlighted elements in red, blue, and yellow to indicate specific functional groups such as hydroxyl (OH) and sulfonyl (SO).

Similarity and Pharmacophore Search

Rapidly search more than 60 billion virtual and known molecules in minutes:

  • Explore ultra-large chemical spaces using best-in-class 2D search algorithms including FPSim2 and FTrees by BioSolveIT.
  • Search single or sets of molecules based on similarity, sub-structure, and chemical feature.
  • Search over 25 billion virtual compounds exclusive to SA-Space™ developed by Sigma-Aldrich.
  • Automatically calculate physicochemical properties and ML-based ADMET predictions.
A 3D molecular model displaying various atoms represented by colored spheres and rods. The structure includes large teal spheres indicating specific atoms, while smaller spheres in yellow, red, and brown represent other elements. The connections between atoms are depicted with gray and blue rods, illustrating the molecular framework.

Shape-Based Search

Compare diverse molecules by aligning 3D molecular structures to a reference ligand with Flare™ from Cresset:

  • Filter, sort, and cluster molecules based on multi-parameter optimization.
  • Use dimensionality reduction and inter-property correlation to find the best candidates.
  • Design new scaffolds and ligands with field-based alignment and scoring.
A 3D representation of a molecular structure situated within a colorful surface, indicating interactions with its environment. The molecule is shown in gray and blue, with specific functional groups highlighted in green and red. The surrounding surface is depicted in shades of red, white, and blue, suggesting varying properties such as hydrophobicity and electrostatic potential.

Molecular Docking

Visualize target molecule–protein interactions to ensure optimal binding with Flare™ from Cresset:

  • Easily visualize and evaluate protein-ligand complexes and binding affinity.
  • Quickly identify potential binding pockets in your protein 
  • Finalize target molecules based on precise 3D alignment and property evaluation.

GENERATE YOUR NEXT BREAKTHROUGH WITH AIDDISON™ DRUG DISCOVERY SOFTWARE

Discover how the AIDDISON™ platform can provide the data-driven insights and inspiration to propel your drug discovery efforts forward.

Contact Our Team to Learn More


User Testimonials

"AIDDISON™ is an integrated and easy-to-use tool for lead identification that brings together a suite of tools for modeling, docking and scoring molecules.” 
-SVP, Drug Discovery,
 Emerging Biotech

"With various prediction, docking, and analysis tools, this software will enable you to speed up drug discovery.”
-Head of Chemistry,
Pharmaceutical

"AIDDISON™  combines data analytics with the ability to search several virtual databases to efficiently do hit expansion while incorporating preliminary molecular modeling to provide structural insights.”
-Drug Discovery Medicinal Chemist,
Emerging Biotech

"A one-stop-shop for medicinal chemists interested in molecular modeling and large chemical space exploration.”
-Medicinal Chemist,
Emerging Biotech


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