Everything you need to know before enrolling.
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Learn at your own pace with recordings
Drug discovery pipeline, chemical data, SMILES, SDF, descriptors, RDKit, molecular properties, and Lipinski’s Rule of Five
Chemical space, molecular fingerprints, similarity searching, 3D conformers, PyMOL/Chimera, and PDB visualization
Protein–ligand docking, target and ligand preparation, AutoDock Vina, docking scores, binding poses, and KNIME workflows
QSAR concepts, molecular descriptors, scikit-learn, Random Forest regression, ADMET prediction, and ADMETLab
Generative AI for molecules, SMILES-based models, drug-likeness filtering, complete workflow integration, and project presentation
Learn from experienced educators and practitioners through practical, career-focused bioinformatics training.
17 answers about this course
Students, researchers, PhD scholars, biotechnology, pharmacy, chemistry, bioinformatics, computational biology, and life science learners can join.
No specific prerequisite knowledge is required.
The course is organised into 5 recorded modules that you can complete at your own pace.
Anytime. All sessions are recorded, so you can learn on your own schedule.
The course is delivered through recorded sessions.
Yes. RDKit is used for chemical data handling, molecular properties, fingerprints, conformer generation, and drug-likeness analysis.
Yes. The course includes protein–ligand preparation, AutoDock Vina docking, docking scores, binding poses, and result analysis.
AutoDock Vina is used for docking, with PyMOL or UCSF Chimera for visualization and analysis.
Yes. The course covers chemical-space exploration, molecular fingerprints, similarity searching, and virtual screening concepts.
Yes. The course introduces QSAR modeling and machine learning using scikit-learn.
A Random Forest Regressor is used for molecular property prediction.
Yes. ADMET concepts and practical prediction using ADMETLab are included.
Yes. The final session introduces AI-driven molecular generation using pre-trained generative models.
Yes. Each module includes project tasks that build toward a complete mini drug discovery project.
The project integrates compound selection, screening, docking, QSAR/ML, ADMET prediction, and selection of potential lead compounds.
Yes. A certificate of completion is provided.
Access details are shared after registration. If you need help, message us on WhatsApp at +91 78280 25951.
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Hear from learners building practical skills with Bio Help Learning.
★★★★★The workshop provided me an understanding of the principles and techniques involved in bioinformatics, molecular docking, protein-ligand interactions, homology modeling, and drug design.
Ridam BhowmickMaulana Abul Kalam Azad University of Technology, West Bengal.Molecular Docking and Drug Discovery
★★★★★As i am from biotechnology background this workshop, actually very helpfull for me
Anushka ChavanDeogiri college AurangabadBioinformatics Training
★★★★★Learn about different molecular docking tools.
Shovan NaskarIndian Institute of Technology (Banaras Hindu University), VaranasiBioinformatics Workshop
★★★★★This workshop helped me to learn working with various softwares and also to develop an interest over drug designing
Subhodeep SahaUniversity of CalcuttaBioinformatics Training
★★★★★From this workshop I learned many new things such as docking, about new websites,how to use Swiss software,basic bioinformatics etc, it's very helpful for me.
Sayan DuttaUniversity of CalcuttaBioinformatics Training
★★★★☆The workshop was informative and provided valuable insights into bioinformatics tools and techniques.
Santhosh M EReva University BangaloreBioinformatics Tools and Techniques
★★★★★The Drug Discovery Workshop was highly informative and helped me gain valuable knowledge about the drug discovery process, including molecular docking, drug–target interactions, and computational tools used in drug design.
ANUSHA P VCSIR-CCMB, Hyderabad IndiaDrug Discovery Workshop
★★★★★I learned various bioinformatics techniques and databases and how to use them to explore biological data. The training helped me understand the practical applications of bioinformatics in research.
Prabhavi Praveenkumar kambleSmt. C. H. M. College, MumbaiBioinformatics WorkshopA growing community learning bioinformatics and life-science skills across borders.
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