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The Next Generation of
MCS Search at ChemAxon
Péter Englert
How similar are two molecules?
Method 1
0.71
Method 2
0.47
...
What do these numbers mean?
Method X
0.YZ
Structural Similarity
What do these molecules have in common?
Resulting Tanimoto similarity: 0.615
Similar property principle
A more complicated example
A more complicated example
Maximum Common Substructure
• Many applications
‐ Similarity Search
‐ Clustering
‐ Reaction mapping
‐ Molecule alignment
• A complex problem
‐ Solution often approximated
ChemAxon solutions
• 2004, JChem 2.3
‐ Backtracking algorithm
‐ Connected MCS only
• 2010, JChem 5.4
‐ Efficient heuristics
‐ Max-clique search based
• 2013, JChem 6.0
‐ Improved MCS module
The new MCS module
• Improved accuracy and run time
• Reduced memory usage
• Reduced fragmentation
• Many features
‐ Connected/disconnected
‐ Generic atom/bond handling
‐ Multiple results
‐ Ring matching (JChem 6.1)
Applications – 3D Alignment
Applications – Reaction Mapping
Applications – Library MCS
Improvements
• Better accuracy
• Improved running time
• Reduced memory usage
How much improvement?
Major improvements
Accuracy
Running time
Extensive tests
Memory usage
Tested on “hard” cases,
graphene-like structures
Examples
Result: 47 bonds, 1 fragment
~20 minutes
connected
JChem 2.3
Examples
Result: 83 bonds, 8 fragments
~2.5 seconds
fragmented
JChem 5.12
Examples
~0.2 seconds
optimal
Result: 92 bonds, 2 fragments
JChem 6.0
Examples
JChem 5.12
JChem 6.0
Reduced
fragmentation
7 fragments
3 fragments
query target
query target
Examples
JChem 5.12
JChem 6.0
22 bonds
92 bonds
query target
query target
Connected mode
improvement
ExamplesJChem 5.12
JChem 6.0
query target
query target
Goodbye
example
Summary
We have substantially improved our MCS solution
based on feedback from the previous versions
Acknowledgements:
Thank you for your
kind attention!
• JChem Base team
• Péter Kovács
• Miklós Vargyas

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