KDMC11

Knowledge Discovery and Management in Chemoinformatics


   IMPORTANT DATES for this Course
   EXTENDED Deadline for applications: June 25th 2011
   Course date: July 12th to July 15th 2011

Instructors:

Alexey Lagunin obtained a PhD in Biochemistry from the Institute of Biomedical Chemistry (IBMC) of Russian Academy of Medical Sciences in 2001 and currently holds the position of Leading Scientist in the Department for Bioinformatics of IBMC. His studies are focused on chemoinformatics and computer-aided drug discovery. He is a co-author of computer programs PASS and PharmaExpert, which applications lead to discovery of new antihypertensive and anti-inflammatory compounds with dual mechanisms of action. He took part in several International research projects supported by INTAS, FP6, FP7, CRDF, and ISTC, and worked as a visiting scientist in Aristotelian University of Thessaloniki (Greece) and in Liverpool John Moores University (UK). Dr. Lagunin is a co-author of over 40 papers published in peer-reviewed journals. He took part in the Special Course "Bioinformatics and Computer-Aided Drug Discovery" for graduate students of Medical-Biological Faculty of Russian State Medical University. Current scientific interests: multitargeted drug design, in silico toxicology, drug-drug interactions, computer-aided evaluation of biological activity for natural compounds. He has taught here before, in the PGBIOINF MSc in Bioinformatics programme.

Affiliation: Institute of Biomedical Chemistry of Rus. Acad. Med. Sci., Moscow, Russia

Alexey Zakharov obtained the PhD in Bioinformatics from the Institute of Biomedical Chemistry (IBMC) of Russian Academy of Medical Sciences in 2008 and currently holds the position of Senior Scientist in Department for Bioinformatics of IBMC. His studies are focused on computational drug discovery and cheminformatics. Dr. Zakharov is an expert in the field of quantitative structure-activity relationships (QSAR). He developed computer program GUSAR (General Unrestricted Structure-Activity Relationships), which can be applied to the analysis of many different QSAR/QSPR problems. He took part in three European projects funded by FP6, FP7 and ISTC. Dr. Zakharov is a co-author of over ten papers published in peer-reviewed journals. He took part in the Special Course "Bioinformatics and Computer-Aided Drug Discovery" for graduate students of Medical-Biological Faculty of Russian State Medical University. Since 2007 Alexey Zakharov, is a Secretary of the Russian Section of the "Cheminformatics and QSAR Society". In 2006, 2007 and 2008 he was awarded by the first prize for young scientists at the Symposia "Bioinformatics and Computer-Aided Drug Discovery" in the framework of Russian National Congresses "Man and Drugs". He has taught here before in the Pathway Analysis (PA10) course of GTPB.

Affiliation: Institute of Biomedical Chemistry of Rus. Acad. Med. Sci., Moscow, Russia

Course description

Topics:
Informational resources in chemoinformatics. (Quantitative) structure-activity and structure-property relationships - (Q)SAR/(Q)SPR. Chemoinformatics applications in life sciences, pharmaceutical and biotech industries.
Course description:
About one hundred million different chemical compounds have already been synthesized. The number of theoretically possible organic molecules exceeds the number of atoms in the universe. This raises a number of questions, including:

- Where can one find information about chemical structures and their properties?
- How can one efficiently retrieve such information?
- Which molecules, if synthesized, could potentially assist the fight against certain types of cancer?
- Why is it that some pharmacological targets are considered more promising for the prevention or treatment of Alzheimer’s disease than others?
- Are there ways to better predict ADME(T) properties of synthesized molecules?
- Why does such a significant proportion of launched drugs originate from structures found in natural products?
- Why can multi-target pharmacological agents be superior to single-targeted ones?
- Can new medical applications be found for old drugs?
- Why is the alliance of chemo- and bioinformatics beneficial to the life sciences, biotech and pharma industries?
- What are the major challenges facing chemoinformatics now?

During this course participants will learn how to efficiently find answers to these and many other related questions. Attendees will be instructed in the use of the relevant databases and associated software to:


- Represent compounds and (bio)chemical reactions using chemical information in a computer.
- Search for information about chemical structures and their properties in public and commercially available databases.
- Perform similarity searches with an understanding of the advantages and disadvantages of the various methods.
- Prepare data sets for further (Q)SAR/(Q)SPR analysis, estimating the quality and completeness of the data.
- Create and validate (Q)SAR/(Q)SPR models for finding and optimization of lead compounds.
- Use the above techniques for virtual screening and design of chemical compounds with the required properties.

Target audience
Researchers working in life sciences, professionals in the pharmaceutical and biotech industries: organic, medicinal, pharmaceutical chemists, biochemists, molecular biologists, pharmacologists, toxicologists, and others.


Detailed Program

Instituto Gulbenkian de Ciência,

Apartado 14, 2781-901 Oeiras, Portugal

GTPB Homepage

IGC Homepage

Last updated:  June 26th 2011