Virtual Screening Laboratory is a laboratory designed for rational drug design and discovery, with a focus on the blood-brain barrier. This project, supervised by Prof. Dr. Sergey Shityakov, includes a collection of tools and scripts to support cheminformatics, drug design, biomedicine, medicinal chemistry, and blood-brain barrier research.
- Author: Sergey Shityakov
- License: This project is licensed under the GNU General Public License
- Loop_refiner: PyMol tool for AlphaFold model refinement.
- NeuroClick: Interactive tool for neural data analysis.
- BSA_calculator.pml: Buried surface area calculator.
- DelG_to_Ki_converter.py: Converts Gibbs free energy to inhibition constant.
- IC50_to_pIC50_converter.py: Converts IC50 to pIC50 values.
- Pattern_recognition.py: Pattern recognition utilities.
- Virtual_sequencing_project.zip: Modeling of shotgun sequencing of DNA plasmids.
- logBB.py: Logarithmic base blood-brain barrier calculations.
- Clone the repository:
git clone https://github.com/Sergey-Shityakov/virtualscreenlab.git
- Navigate to the project directory:
cd virtualscreenlab - Install dependencies (if any, specify in
requirements.txtif applicable):pip install -r requirements.txt
- Ensure Python is installed (recommended version: 3.7+).
- Run individual scripts based on your needs (e.g.,
python BSA_calculator.pml). - Refer to the script documentation or comments for specific usage instructions.
- For the
Virtual_sequencing_project.zip, extract and follow the included guidelines.
We welcome contributions! Please follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b feature-branch). - Make your changes and commit them (
git commit -m "Description of changes"). - Push to the branch (
git push origin feature-branch). - Open a pull request.
For inquiries, please reach out to Prof. Dr. Sergey Shityakov [shityakoff@hotmail.com] via his ResearchGate profile: www.researchgate.net/profile/Sergey-Shityakov.
- Special thanks to the Würzburg University team for their support.
- This project is part of ongoing research in rational drug design and blood-brain barrier studies.