Please refer to the following URL for the lectures : http://www.s-star.org/schedule.html
(1) Genomics and Computational Molecular Biology by Douglas Brutlag, USA
Genomics, Central Paradigm, Smith-Waterman, EMOTIF
(2) An Overview of the Computational Analysis of Biological Sequences by S Subbiah, SG & USA
An introduction to sequence alignment and algorithms to align sequences. An overview of some topics pertinent to sequence alignment is covered: difference between similarity and homology, relationship between sequence and structure. An example of pairwise sequence & multiple alignment using the Needleman-Wunsch and Tulla algorithms, respectively, are given with cautionary caveats about the limits of alignment.
(3) Comparative Genomics by Wei Liping, USA
A review of technologies, applications, and challenges in comparative genomics. What are the features ofgenomes to be compared? What can we do with genome comparison results - in particular, how do we construct protein interaction maps based on gene fusion events? How can we align genome-scale sequences efficiently?"
(4) Transcript Analysis and Reconstruction by Winston Hide, ZA
Focus on transcript analysis and reconstruction from a sequence perspective
(5) Representations and Algorithms for Computational Molecular Biology by Russ Altman, USA
Genetics Networks, Studying Gene Networks, DNA and/or RNA Annealing, What to do with Array Data,Average of Clustered Wave Forms, Reconstructing Genetic Network, Simplification: Boolean Network,Sample Network, Some Sample State Transitions, Finite State Automata, Correspondence, Biological Roles RNA, RNA Function, Tertiary Structure, Looking for Covariation, RNA Folding Energetics, Dot Plot Approach, Simple Energies.
(6) Protein and Nucleic Acid Structure by Michael Levitt, USA
Dynamics,and Engineering Course Outline, Principles of Biology, Energy Landscapes, What Does A Protein Look Like?, See The Protein Alone, What Is An Atom?, What Is A Molecule?, Bond Stretching, Electrostatics Interaction,Advanced Physical Principles, Hydrophobic Effect, Dielectric Effect.
(7) Protein Structure Primer by Shoba Ranganathan, SG
An introduction to basic protein structure: basic protein chemistry, visualization, protein structure (primary,secondary, tertiary, quaternary), secondary structural elements, folds & fold classification, packing.
(8) Protein Structure Prediction by Betty Cheng, SG
An overview An introduction to basic protein structure, structure determination and problems which motivate the development of computational approaches to structure prediction, including secondary structureprediction, ab initio structure prediction, fold family recognition or threading approaches and homology modeling. Some of problems with computational prediction methods are discussed briefly.
Theory and Practice Secondary structure prediction is one of the most reliable of the protein structure prediction methods and significant increases in accuracy occur rapidly but it has limitations and the predictions contain less information than other types of structure predictions. An explanation of the kind of information available from secondary structure prediction is included but the bulk of the talk centers on a discussion of how to determine when a secondary structure prediction method is accurate and reliable thru the use of statistical measures.
(9) Structure Prediction for Macromolecular Interactions by Julie Mitchell, USA
This lecture gives a theoretical overview of molecular docking, with an emphasis on the computational study of macromolecular systems.
(10) Protein - Ligand Modeling by Lynn Teck Eyck, USA
This lecture provides practical knowledge of how to model and solve docking problems, particularly for protein interactions with small molecules.
(SP Series) Proteomics by Marc Wilkins, AU
Definition of proteome and goal of proteomics, protein display methods, protein identification, mapping disease, proteomics databases and tools, future of proteomics
(SP Series) Proteomes by Jan-Olov Höög, SE
Self-guided slide show: 2D-gels, Mass spectrometry, Database searching, DIGE, MudPIT, Protein-array chips.
(SP Series) Protein Physics by Betty Cheng, SG
Potential Functions An explanation of how the physical forces that drive proteins to assume native conformations are represented in computer simulations. These potential functions are used to evaluate relative energies of protein conformations and are necessary for protein structure prediction using "ab initio" methods and for protein simulations. Some of the potential functions which are commonly used are discussed briefly.
Introductory Molecular Biology by Anthony Weiss, AU
Maintenance of genetic information (replication, repair, recombination, flow of genetic information,transcription, translation, metabolism, pathways and regulation), examples of molecular basis of disease.