Max-Planck-Institut für Biophysik

Vorträge und Kurse

Vorträge und Kurse

Unsere Kurse

Einführung in biomolekulare Simulationen

Lecturers:
Dr. Florian Blanc, Dr. Ramachandra Bhaskara, M.Sc. Laura Schulz

Computational Drug Design

< back to Teaching ActivitiesWe introduce the basics of probability theory, classical statistics, and classical error analysis (p-values, confidence intervals), which serves as the starting point to explore modern methods of statistics (Maximum Likelihood, Bayes). We use these methods to extract information from noisy data through (non-) linear parameter estimation (fitting) and model comparison. We show how to analyze data containing dynamical information by time series analysis (correlation functions, error analysis) and Markov-Chain models and kinetic models described by rate equations.

Statistische Datenanalyse für Praktiker

Vorträge von Prof. Gerhard Hummer

Gerhard Hummer: "Concepts of Probability in the Sciences." at the ESI

Ableiten statistischer Ensembles aus Experiment und Simulation

Shoot First, Ask Questions Later: From Molecular Simulations to Protein Function – ICTP Colloquium

Um zu verstehen, wie Proteine funktionieren, untersuchen wir ihre Dynamik mit molekularen Simulationen, die einen weiten Bereich von zeitlichen und räumlichen Skalen abdecken.

AS Distinguished Lecture: Energy Transduction in Biomolecular Machines