Vergleiche

Unterschiede

Feld Evento Modulverwaltung Operationen
Englische Beschreibung <p>Welcome to the <strong>practical course</strong>, please look into the link for the theory module for the basic idea about the course.</p> <p>The practical course gives the student a chance to test his or her understanding of the material taught in the theory course. A short introduction on each topic will be given on this course for individual topics. The students will be assigned to a small project/task which they have to perform. The students will be assigned into groups of two/three/max four members, depending on the total number of students registered for the course.</p> <p>&nbsp;</p> <p>Structure of the course:</p> <p>Everyday students will be assigned projects in groups for each topic. They work together to solve some interesting scientific problem. Each group will be closely supervised by the respective tutors. At the end of the lecture series, students (individual group) will be assigned one of the topic of the course, which they have to present in front of the wider audience. This will provide students, a way to practice presentation skills and can help them to develop the expertise needed to discuss their research in a clear and meaningful way.</p> <p>&nbsp;</p> <p>Learning how to answer specific questions and present data to a range of individuals, will help students in other endeavors, including future conference presentations, masters or dissertation defenses.</p> <p>&nbsp;</p> <p>Topic for practical lectures are:</p> <ol> <li>Introductory session</li> <li>Homology modeling</li> <li>Peptide design</li> <li>3D Molecular superimposition of small molecules</li> <li>Comparison and application of structural fingerprints</li> <li>Molecular docking</li> <li>Natural products and fragments based drug discovery</li> <li><em>In silico</em>&nbsp;toxicity prediction</li> </ol> <p>Website:&nbsp;<a href="https://bioinformatics.charite.de/main/content/practical_theoretical.php">https://bioinformatics.charite.de/main/content/practical_theoretical.php</a></p> <p>Welcome to the <strong>practical course</strong>, please look into the link for the theory module for the basic idea about the course.</p> <p>The practical course gives the student a chance to test his or her understanding of the material taught in the theory course. A short introduction on each topic will be given on this course for individual topics. The students will be assigned to a small project/task which they have to perform. The students will be assigned into groups of two/three/max four members, depending on the total number of students registered for the course.</p> <p>&nbsp;</p> <p>Structure of the course:</p> <p>Everyday students will be assigned projects in groups for each topic. They work together to solve some interesting scientific problem. Each group will be closely supervised by the respective tutors. At the end of the lecture series, students (individual group) will be assigned one of the topic of the course, which they have to present in front of the wider audience. This will provide students, a way to practice presentation skills and can help them to develop the expertise needed to discuss their research in a clear and meaningful way.</p> <p>&nbsp;</p> <p>Learning how to answer specific questions and present data to a range of individuals, will help students in other endeavors, including future conference presentations, masters or dissertation defenses.</p> <p>&nbsp;</p> <p>Topic for practical lectures are:</p> <ol> <li>Introductory session</li> <li>Homology modeling</li> <li>Peptide design</li> <li>3D Molecular superimposition of small molecules</li> <li>Comparison and application of structural fingerprints</li> <li>Molecular docking</li> <li>Natural products and fragments based drug discovery</li> <li><em>In silico</em>&nbsp;toxicity prediction</li> </ol> <p>Website:&nbsp;<a href="https://bioinformatics.charite.de/main/content/practical_theoretical.php">https://bioinformatics.charite.de/main/content/practical_theoretical.php</a></p> <p>The preliminary meeting will take place on 12.03.2018. Time ar 11.00 a.m</p> <p>Venue: Charite Campus Mitte, Phillippstrasse 12, 10115 Berlin, anatomy building (Waldeyer Haus)</p> <p>Seminar room: 03 001 (3rd Floor)</p> <p>&nbsp;</p> <p>&nbsp;</p>

a.SAP verarbeitet Computer-aided drug design (60101813)

Feld Evento Modulverwaltung Operationen
Beschreibung <p><strong>Practical Course: Using open source software and libraries for data analysis and computer-aided drug design.</strong></p> <p>Bitte Beschreibung auf Englisch lesen.</p> <p><strong>Practical Course: Using open source software and libraries for data analysis and computer-aided drug design.</strong></p> <p>Bitte Beschreibung auf Englisch lesen.</p> <p>&nbsp;</p> <p>Practical&nbsp;course date: <strong>12.03.-16.03.2018</strong>, 5 days, daily 9 am - 5 pm.<br /> Preliminary meeting: In January/February, exact date will be announced soon.</p> <p>Place: Campus Mitte, Philippstr. 13, Haus 18, 10115 Berlin</p> <p>&nbsp;</p>
Englische Beschreibung <h3>Practical Course: Using open source software and libraries for data analysis and computer-aided drug design</h3> <p>This practical course introduces the students to diverse software tools and libraries which can support data generation and analysis in various areas of computer-aided drug design. &nbsp;The course will sensitize the students to the ease and the profit of using bio-/cheminformatics methods.</p> <p>The course shall enable the students to set-up their own drug design pipeline including protein target preparation, compound library set-up and filtering (i.e. using drug-like and toxicity filters), docking of the compounds to the target and evaluation of the results. The course will include the following tasks:</p> <ul> <li>There will be a short introductory part into python programming using the novel and interactive IPython notebooks.</li> <li>The students will write their own scripts using, e.g., python libraries for data handling (pandas), protein (BioPython) and compound (RDKit) processing as well as machine learning (scikit-learn) to prepare their compound libraries. &nbsp;</li> <li>Open access tools for protein structure preparation and visual inspection (PyMol) will be used.</li> <li>AutoDock software will be engaged for docking of the compounds into the target protein and the results will be evaluated. &nbsp;&nbsp;</li> </ul> <p>Each day, we will perform a small task from the described computer-aided drug design pipeline. The students can work individually or in groups, depending on the total number of participants.</p> <h3>Practical Course: Using open source software and libraries for data analysis and computer-aided drug design</h3> <p>This practical course introduces the students to diverse software tools and libraries which can support data generation and analysis in various areas of computer-aided drug design. &nbsp;The course will sensitize the students to the ease and the profit of using bio-/cheminformatics methods.</p> <p>The course shall enable the students to set-up their own drug design pipeline including protein target preparation, compound library set-up and filtering (i.e. using drug-like and toxicity filters), docking of the compounds to the target and evaluation of the results. The course will include the following tasks:</p> <ul> <li>There will be a short introductory part into python programming using the novel and interactive IPython notebooks.</li> <li>The students will write their own scripts using, e.g., python libraries for data handling (pandas), protein (BioPython) and compound (RDKit) processing as well as machine learning (scikit-learn) to prepare their compound libraries. &nbsp;</li> <li>Open access tools for protein structure preparation and visual inspection (PyMol) will be used.</li> <li>AutoDock software will be engaged for docking of the compounds into the target protein and the results will be evaluated. &nbsp;&nbsp;</li> </ul> <p>Each day, we will perform a small task from the described computer-aided drug design pipeline. The students can work individually or in groups, depending on the total number of participants.</p> <p>Practical&nbsp;course date: <strong>12.03.-16.03.2018</strong>, 5 days, daily 9 am - 5 pm.<br /> Preliminary meeting: In January/February, exact date will be announced soon.</p> <p>Place: Campus Mitte, Philippstr. 13, Haus 18, 10115 Berlin</p> <p><a href="https://physiologie-ccm.charite.de/en/research_at_the_institute/team_volkamer/">Research AG Volkamer</a></p>
Englische zusätzliche Informationen <p>Practical&nbsp;course date:&nbsp;<strong>26.03.-30.03.2018</strong>, 5 days, daily 9 am - 5 pm.<br /> Preliminary meeting: In February, exact date will be announced soon.</p> <p>Place: Campus Mitte, Philippstr. 13, Haus 18, 10115 Berlin</p> <p><a href="https://physiologie-ccm.charite.de/forschung/ag_volkamer/">Research AG Volkamer</a></p> Kein Eintrag

Noch nicht publizierte Kurse

Status LV Kursname

In Evento fehlende Veranstaltungen

LV Kursname

In Evento fehlende Begleitveranstaltungen

LV Kursname

In Modulverwaltung fehlende Veranstaltungen

Status LV Kursname