Course

BIO-468: Scientific literature analysis in computational molecular biology

Summary

The goal of this course is to learn to analyze a scientific paper critically, asking whether the data presented support the conclusions that are drawn. The analysis is presented in the form of a summary presentation and critical, constructive assessments of the paper.

Lectures

Instructor

Patrick Daniel Barth

Professor Patrick Barth is Associate Professor at EPFL and Adjunct Associate Professor at Baylor College of Medicine, Houston, TX, USA. He received training in Physics, Chemistry and Biology (University of Paris, ENS) in France and performed his PhD at the Commissiariat a l'Energie Atomique in Saclay, France on structure/function studies of membrane proteins (photosystem I) using biochemical and biophysical experimental techniques. He carried out postdoctoral studies at University of California at Berkeley with Tom Alber on computational development for calculating protein electrostatics and designing de novo selective peptide inhibitors of cellular protein interactions. He then went to the University of Washington as a postdoctoral fellow and instructor in David Baker's laboratory to develop computational techniques in the software Rosetta for predicting and designing membrane protein structures. He started his independent career and received tenure at Baylor College of Medicine. He will continue at EPFL to marry computation and experiment for understanding the molecular determinants of signal transduction, as well as modeling and designing membrane proteins with novel functions for various synthetic biology and therapeutic applications.

Official source

https://edu.epfl.ch/coursebook/en/scientific-literature-analysis-in-computational-molecular-biology-BIO-468

Moodle Page

http://go.epfl.ch/BIO-468

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Summary

Lectures

Instructor

Patrick Daniel Barth

Official source

https://edu.epfl.ch/coursebook/en/scientific-literature-analysis-in-computational-molecular-biology-BIO-468

Moodle Page

http://go.epfl.ch/BIO-468

Related courses (30)

BIOENG-320: Synthetic biology

This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This class requires critical and analytical thinking at the ...

BIO-212: Biological chemistry I

Biochemistry is a key discipline for the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aim to describe and understand in molecular terms the processes that make life possible. ...

BIO-315: Structural biology

The main focus of this course is on the molecular interactions defining the structure, dynamics and function of biological systems. The principal experimental and computational techniques used in structural biology, as well as molecular modeling and design ...

PHYS-754: Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the v ...

ENG-410: Energy supply, economics and transition

This course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be foste ...