
This course introduces learners to elementary programming and numerical methods that are useful to solve problems in chemistry. These methods are useful for understanding molecular structures as well as condensed media such as liquids and solutions

Exploring the limitations of common approximations in modeling non-covalent interactions at the nanoscale, revealing complex scaling behaviors and the need for advanced quantum-mechanical methods.

Step-by-step guide to install GROMACS and run a beginner-level molecular dynamics simulation of a protein in water, covering both Windows and Linux platforms.

Explore quantitative methods for analyzing large-scale dynamics in complex molecular systems, focusing on advanced techniques and their applications in molecular biophysics.

Explore computational biophysics methods for understanding mechanosensing, focusing on cutting-edge approaches and their applications in molecular biology research.

Explore quantum computing applications in quantum chemistry, focusing on advanced concepts and practical implementations.

Explore quantum computing applications in quantum chemistry, focusing on advanced concepts and practical implementations.

Explore constant-pH MD simulations to uncover pH effects on biomolecules. Gain insights into advanced molecular biophysics techniques and their applications.

Explore mechanical properties of polymerosomes using molecular dynamics simulations, gaining insights into their behavior and potential applications.

Explore computational methods for studying ultrafast interactions between proteins and water molecules, uncovering insights into molecular biophysics.

Explore AI-driven drug design techniques for optimizing pharmacokinetics and ADME with Novartis Principal Scientist Raquel Rodríguez Pérez at the Broad Institute symposium.

Explore automated molecule design using retrieval-augmented generative language models in drug discovery, presented by Andrew White from the University of Rochester.

Explore AI's role in drug discovery with Sanofi-Aventis scientist Christoph Grebner, discussing key success factors and industry insights.

Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.

Explore quantum computing applications in quantum chemistry, focusing on advanced concepts and practical implementations.

Explore computational methods for predicting chemical toxicity, integrating structural alerts and QSAR models for comprehensive safety assessment of new compounds.

Explore computational approaches in proximity-induced pharmacology, focusing on PROTACS, structural analysis, and strategies for optimizing PROTAC screening and predicting activity.

Explore the mechanism of KATP channels through chemical probing, focusing on structure, gating, and the role of palmitoylation in channel opening.

Explore computer-driven discovery of GPCR ligands, focusing on new chemotypes and functional selectivity. Learn structure-based techniques for rational ligand design and virtual screening.

Explore cutting-edge neural networks and advanced technologies in molecular modeling with MolSoft ICM, enhancing your computational chemistry capabilities.

Explore AI-driven drug discovery for neglected diseases with Dr. Carolina Horta, focusing on computational methods and QSAR models for identifying new drug candidates.