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Registration  

Modern Drug Target Crystallography and Structure Based Drug Discovery

Nov 09-10, 2006
Molsoft LLC facility
San Diego - La Jolla, California

MolSoft LLC and q.e.d. life science discoveries, inc., are conducting a joint two day workshop on Nov 09-10, 2006 at the Molsoft LLC facility in La Jolla  entitled "Modern Drug Target Crystallography and Structure Based Drug Design".  The course tutors will be Dr. Bernhard Rupp, founder and president of q.e.d. life science discoveries,  and Dr. Ruben Abagyan, founder of Molsoft LLC, Professor of Molecular Biology at The Scripps Institute, La Jolla. 

For more information regarding the workshop please contact Andrew Orry, at Molsoft LLC, (858) 625-2000 (x108)

Who should attend?
This intense course (limited to 12 participants) will be suitable for executives, scientists, and technicians in the field of biological sciences and drug discovery, who wish to expand their knowledge in the rapidly advancing field of high throughput drug target crystallography. The course is designed for those who are considering to use crystallography and virtual ligand screening as a tools in their drug discovery research and wish an overview of the techniques as well as researchers already familiar with crystallography and in-silico ligand screening, who wish to learn more about cutting edge developments. Familiarity with the basic concepts of protein structure will help in following the course material..

The course includes protein crystallization demonstrations, actual structure determination using multiple anomalous dispersion methods and molecular replacement, model building and refinement, structure validation, analysis and interpretation, followed by in-silico ligand docking and virtual library screening.

Length of Course
09.00 - 17.00 on Thursday, Nov 09 2006, 09:00-17:00 on Friday, Nov 10, 2006

Fees: US$ 499.- for academics, US$ 899.- for commercial participants 

Upon completing this course, participants will:
1. Obtain an overview of the strengths and limitations of drug target crystallography.
2. Understand the role and contributions of crystallography in the field of drug discovery.
3. Understand fundamentals of crystallization and crystallographic techniques.
4. Be able to assess quality and validity of protein drug target structures.
5. Analyze and use crystal structures for drug discovery
6. Predict binding pockets and interaction sites
7. Identify drug receptor interactions by virtual ligand screening
8. Use cheminformatics and QSAR to identify new drug leads
9. Understand methods of molecular docking and virtual drug library screening

Topics and Course Organization

Introduction (9:00-10:45)

Preliminaries and Introductions

Overview of Molecular Structure

The Role of Molecular Structure in Drug Discovery

Basic Principles of Crystallography

Q&A session 1 (15 min)

 

Coffee Break (10:45 – 11:00)

 

Protein Crystallization I (11:00-12:00)

Fundamentals of Protein Crystallization

Crystallization Techniques (with demonstration)

Crystallization Screening – Design Strategies

Q&A session 2 (15 min)


Lunch (12:00-13:00)

 

Protein Crystallization II (13:00-13:45)

Evaluation of crystallization and Statistical Predictions

Cryoprotection

Crystal Harvesting

High Throughput Technologies

Q&A session 3 (15 min)

  

From Data to Structure I (13:45-15:00)

Data Collection Strategies

Phasing Principles and Examples

Molecular replacement

Phase bias removal

Ligand structures

 

Coffee Break (15:00 – 15:15)

 

From Data to Structure II (15:30-16:30)

MAD Phasing
Phase Extension

De Novo Model Building

Model Refinement

Q&A session 4 (15 min)

 

Review and Wrap-up Discussions (16:30 – 17:00)

 

Day two

 

From Structure to Knowledge I (09:00-10:00)

 

Validation of Protein Target Structures

Visualization, Analysis and Interpretation of Crystal Structures

Crystallographic Lead Optimization

Crystallographic Fragment Analysis

High Throughput Technologies – Implementation and New Trends

Q&A session 4 (15 min)

Overview: Challenges in Structure-Based Drug Discovery (10:00-10:45)

All computational hands-on experiments and demonstrations will be undertaken using Molsoft's ICM tools.

Coffee Break (10:45 – 11:00) 

Drug-Receptor Structure: Molecular Modeling and Structure Analysis (11:00-12:00)

Linking sequence to structure
Homology modeling
Loop modeling
Critical model analysis
Model refinement and simulations

Lunch (12:00-13:00) 

Predicting Drug Binding Pockets and Interaction Sites (13:00-14:00)

Identifying ligand binding pockets
Predicting protein-protein interaction sites

Predicting Drug Receptor Interaction: Ligand Docking (14:00-15:00)

Crystal and model structure preparation for docking – potential pitfalls
Rigid small-molecule docking
Induced fit and flexibility, fully flexible ligand and receptor docking
Template docking
Predicting ligand receptor binding energies

Coffee Break (15:00 – 15:15) 

Identifying New Drug Leads: Virtual Screening and Cheminformatics (15:15-17:00)

Drug databases and cheminformatics
Virtual screening
Ligand scoring and binder discrimination
QSAR

Location
Accommodation

Materials (secure)

Instructors

 

Dr. Bernhard Rupp


Bernhard Rupp is an experienced instructor, well known for his dynamic workshops, crystallization courses, and interactive web tutorials (http:/www.ruppweb.org/). He presently holds adjunct positions for Molecular Structural Biology at several internationally renown research institutes.

Dr Rupp’s research interests include high throughput crystallography, technology development, structure guided drug design, and structural bioinformatics. In addition to technology development and discovery driven research, he has worked on neurotoxins, superantigens, and mycobacterium tuberculosis drug target structures. He is presently developing next-generation crystal harvesting robotics with a private company and working in drug discovery.

 

Dr. Ruben Abagyan

 

Ruben Abagyan is Professor of Molecular Biology at The Scripps Research Institute in La Jolla, California and co-founder of Molsoft LLC (www.molsoft.com). Molsoft LLC is a company which is dedicated to the development of breakthrough technology in computational chemistry and biology. Prof. Abagyan is a world-leader in the development of structure-based drug discovery algorithms and is an innovator in technologies such as ICM. In the past, he has been Director of Computational Biology and IT at the Genome Novartis Foundation and the Skirball Institute of Biomolecular Medicine, New York. He has undertaken research at the EMBL-Heidelberg and obtained his Ph.D. in Theoretical Protein Structure Prediction and Crystallography at the Moscow Institute of Physics and Technology, Moscow State University.

 

 

 

 

 

 

 

 

 

 

 

 

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