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This virtual workshop will provide an overview of cheminformatics & machine learning approaches in basic sciences, pharmaceutical, and healthcare. This workshop will cover the basic concepts, methods of cheminformatics, and their applications in drug discovery using the latest machine learning approaches. In addition, the participants will get the foundations of computational tools and methods related to these topics with hands-on experience exploring various molecular datasets. Tutors who deliver all the sessions have 10+ years of experience in the field.
Jointly organised by
Workshop Highlights
- Basics of Linux, File systems, Navigation & File Manipulation
- Introduction to Jupyter notebook & RDKit
- Fundamentals of structural & Cheminformatics
- Computer Aided Drug design & Virtual screening
- QSAR & molecular Interaction analysis
- Introduction to KNIME, Molecular fingerprint/descriptors & associated file formats
- Introduction to Machine learning concepts
- Creation of machine learning models in KNIME & Jupyter notebook
- Using machine learning with Sci-kit for classification of biological activity
Workshop benefits
- Provided with participation certificate
- Recorded videos are provided after every sessions are over, available as an on-demand video for 7 days.
- Live chat support will be provided during off and live sessions
Eligibility
- The program is interdisciplinary * and it is open to all interested participants.
- All faculty members (Permanent/ Temporary/ Adhoc/ Guest) and Research Scholars from any university/college are eligible to participate.
(* Biological Science/ Physical Science/ Chemical Science/ Pharmaceutical Science/ Mathematical and Computer Sciences)
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