About Workshop
ChemmineR is a cheminformatics package for analysing drug-like small molecule data in R. In addition, ChemmineR offers visualization functions for compound clustering results and chemical structures. The integration of chemoinformatic tools with the R programming environment has many advantages, such as easy access to a wide spectrum of statistical methods, machine learning algorithms and graphic utilities.
Aim
This 3-day workshop aims to equip participants with the essential skills and knowledge to effectively analyze drug-like small molecules using ChemmineR, a powerful cheminformatics toolkit for R. By the end of the workshop, attendees will proficiently predict physicochemical/structural properties, conduct structural similarity searching, and perform classification and clustering of compound libraries. Furthermore, participants will learn how to utilize visualization functions for interpreting compound clustering results and chemical structures.
What Participants Will Learn
- To predict the physicochemical/structural properties, structural similarity searching, classification and clustering of compound libraries
- To visualize the functions for compound clustering results and chemical structures.
Structure
Day 1:
- Chemical databases and ChemmineR tool
- Overview of Chemical Databases
- Overview of ChemmineR tool
- Bioconductor package
- Overview of Bioconductor package
- Installation of Bioconductor package
- Chemical properties prediction and visualization
- Structural properties similarity searching
- Molecular visualization
Important Dates
Registration Ends
07:00 PM
Workshop Dates
2024-07-18
08:00 PM onwards
08:00 PM onwards
What You Will Gain

Outcomes
- Proficiency in analyzing drug-like small molecules using ChemmineR.
- Enhanced understanding of physicochemical properties and structural similarity searching.
- Ability to perform classification and clustering of compound libraries.
- Competence in visualizing compound clustering results and chemical structures.
- Hands-on experience in utilizing ChemmineR for cheminformatics analysis.
Who Should Attend
- Graduate degree in Biology, Bioinformatics, Computational Biology, or related fields.
- Professionals in the biotechnology, pharmaceutical, or healthcare industries.
- Researchers and academics with a focus on molecular biology and structural biology.
- Individuals with a keen interest in AI applications in life sciences.
Dr. Md A. Alam
Professor and Head
Speciality: Bioinformatics Integration, Visualization, Programming, Machine Learning
