Hi everyone,

I am going to work on the GSoC 2019 project "More Improved Coordinate
Generation for Open Babel: Combining Fragment-based Method and
Distance Geometry"
https://summerofcode.withgoogle.com/projects/#5547940045651968
Although this is a project for Open Babel, I'd like to introduce to
developers of RDKit too.

The goal of this project is to improve the current coordinate
generation method by incorporating the distance geometry method, which
is implemented in RDKit.
If it turns out to be efficient, I'd like to contribute to RDKit in
addition to Open Babel.
I heard some people are working on the distance geometry code.
If you give me any suggestions, I'd appreciate it.

You can read my proposal for more details:
https://drive.google.com/file/d/14xUVci1dbcrwCeWc088votLBZxp5Jiq8/

Project abstract:

Open Babel is a widely used open source toolkit for cheminformatics.
One of its important functions is 3D structure prediction of input
molecules. Open Babel’s coordinate generation function was improved in
speed and stereochemical accuracy by the new fragment-based coordinate
generation method implemented as a GSoC 2018 project. However, the
stereochemistry accuracy is not as high as the distance geometry
method of RDKit.

In this project, I will improve the coordinate generation of Open
Babel by implementing a new method which combines the fragment-based
method of Open Babel and the distance geometry method of RDKit. This
new implementation is expected to be faster than current RDKit and
more accurate in stereochemistry than current Open Babel. Implementing
a better prediction method could be beneficial for a wide range of
applications such as drug design.

Thanks,
Naruki

---
Naruki Yoshikawa
Department of Computational Biology and Medical Sciences,
Graduate School of Frontier Sciences
The University of Tokyo


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