.
Δείτε τη σελίδα στα Ελληνικά
Home
General Info
Courses
Admisssions
Faculty
Facilites
Announcements
Useful Links:
Description of courses and programme: SEMESTER B'

Search this site

The Programme of Study and the description of the courses are available in pdf format:

OVERVIEW:

SEMESTER A

1.Molecular Biology & Genomics

2.Biomolecular Structure and Function

3.Programming Languages and Software Tools in Bioinformatics I

4.Statistics in Bioinformatics

5.Principles and Methods in Bioinformatics

SEMESTER B

During the second semester, more advanced topics of informatics and programming are covered, along with their applications to actual research problems.


SEMESTER B
1.  Computational Analysis of Biomacromolecular Sequences
Lecturers: Assist. Prof. V. Iconomidou | Assoc. Prof. P. Bagos| Dr. I. Almyrantis | Assist. Prof. V. Kouvelis | Dr. K. Papadimitriou
Compulsory Module
Semester: B
Syllabus:
  • Introduction: DNA and protein sequences
  • Sequence similarity search algorithms: Sequence homology and similarity and their importance, dynamic programming algorithms, Global Alignment and Needleman & Wunch algorithm, Local Alignment and Smith & Waterman algorithm, Calculation of alignment's statistical significance, Importance of Identity matrixes, gaps and penalties, Heuristics methods for similarity searches in databases (BLAST, FASTA etc).
  • Multiple sequence alignment: Multidimensional dynamic programming algorithms, Heuristic methods for multiple sequence alignments (HMMER, SAM, HMM-Pro etc), phylogenetic trees and multiple alignments
  • Discovery of patterns and periodicities in protein and DNA sequences
  • Prediction algorithms based on protein and DNA sequences: Empirical statistical methods, Clustering, Neural networks, Ηidden Markov Models, Genetic algorithms. Applications of the above mentioned methods for:
    • Secondary structure prediction of proteins and RNA
    • Prediction of Transmembrane segments and their orientation in proteins
    • Gene finding in DNA sequences
    • Multiple sequence alignments using Hidden Markov Models (HMMER, SAM, HMM-Pro etc)
    • Sequence clustering in families
2.  Computational Analysis of Biomacromolacular Structures
Lecturers: Prof. K. Vorgias | Em. Prof. S. Hamodrakas | Prof. E. Iliopoulos | Assist. Prof. V. Oikonomidou| Dr. G. Nounesis | Dr. G. Chrysikos | Dr. B. Gionis | Dr. N. C. Papandreou | Dr. N. A. Papandreou
Compulsory Module
Semester: B
Syllabus:
  • Introduction - Biomolecular structures - Determination methods
  • Fold recognition
  • Fitting (Anteposition) of stereo structures
  • Comparative homology modeling - Threading
  • Modelling of protein structures by molecular mechanics and molecular dynamics.
  • Protein-Ligand docking - Drug design
  • Protein-protein structural recognition (docking)
  • Structure quality evaluation methods - Methods for stereochemical structure checks
3.  Programming Languages and Software Tools in Bioinformatics II
Lecturers: Prof. K. Vorgias | Em. Prof. S. Hamodrakas | Dr. I. Hamodrakas | Dr. Z. Litou
Compulsory Module
Semester: B
Syllabus:
PART I The JAVA programming language
  • Classes and Objects, Java foundation classes, Applets and Applications, Topics in Graphical User Interface design, Distributed computing, JavaBeans, JAVA applications in Bioinformatics - the BIOJAVA project

PART II The perl programming language

  • Scalar variables, lists, arrays, strings. Flow control structures. Subroutines, Associative arrays (hashes). Input/output. Pattern matching with regular expressions. Perl applications in Bioinformatics - the BIOPERL project.
4.  Molecular Recognition - Molecular Diseases - Structural Drug Design
Lecturers: Prof. E. Iliopoulos | Dr. N. C. Papandreou | Dr. I. Michalopoulos | Dr. N. A. Papandreou | Dr. I. Michalopoulos | Dr. Z. Litou
Compulsory Module
Semester: B
Syllabus:
  • Structural elements of biomolecules: Size and environment of biomolecules
  • Biomolecular interactions: Protein-protein interaction types, Protein-DNA interaction types
  • Molecular recognition: Binding and dissociation constants, Binding energy, A molecular recognition example, Entropy terms in complex creation, Degrees of molecular recognition - high fidelity recognition, Evolution and molecular recognition, Interactions of proteins and nucleic acids.
  • Energetic analysis of interactions: Molecular mechanics, Introduction to the methodology of "ab initio" protein folding, the empirical function of energy, energy minimization, energy surface, Enthalpy and entropy, Molecular dynamics.
  • Protein folding - molecular chaperones: New approaches for protein folding with or without intermediate states, The value of molecular topology, Molecular chaperones.
  • Biological membranes and membrane proteins: Composition and structure of biological membranes, membrane proteins, Membrane protein structure, Families of membrane proteins, Channels and receptors.
  • Cellular Translocation of proteins: The endoplasmic reticulum function, protein targeting and signal sequences, protein translocation in mitochondria, chloroplasts and the nucleus.
  • Drug design: Methodology, Drug design based on target?s structure, Problems - Resistance of infectious diseases and cancer against therapeutic agents.
  • Chemical signal transduction: Usual molecular mechanisms for signal transduction, Hormones, Neurotransmitters, Signal transduction in membranes and cytoplasm, Steroid hormones and their receptors. Feromones.
5.  Methodology of Research
Lecturers: Prof. K. Vorgias | Em. Prof. S. Hamodrakas | Assoc. Prof. P. Bagos | Dr. Z. Litou | Dr. I. Michalopoulos
Compulsory Module
Semester: B
Syllabus:
  • General issues
  • Science, Scientific Field and Scientific Research
  • Biological research.
  • Ethics in scientific research and specifically in biological sciences
  • Bioinformatics and moral dilemmas. The role of a bioinformatician in different stages of a project.
  • Writing, evaluating and publishing the results of scientific research in the academic press (journals, conferences etc).
  • Choosing the appropriate journal (Sources, Information, Instructions to authors, peer review system, journal evaluation)
  • Type of Articles (review, letters etc). Scientific paper format (Abstract, Introduction, Materials and Methods, Results, Discussion).
  • Assessment of a submitted paper through the peer review system. Answering reviewer?s comments.
  • Applications.
previews page | top of page | next page
National and Kapodistrian University of Athens. Copyright 2016, all rights reserved.

Last modified 12/1/2016 Webmaster