Table of Contents
Intro 1: Last week's take home lessons
Intro 2: Today's story, logic & goals Biological side of Computational Biology
Elements
From atoms to (bio)molecules
Purify
Purified history
Intro 2: Today's story, logic & goals Biological side of Computational Biology
"A New Approach To Decoding Life: Systems Biology" Ideker et al 2001
Systems biology critique
Transistors > inverters > registers > binary adders > compilers > application programs
Why?
Grand (& useful) Challenges
Intro 2: Today's story, logic & goals Biological side of Computational Biology
Number of component types (guesses)
From monomers to polymers
Nucleotides
The simplest amino acid component of proteins
20 Amino acids of 280
Intro 2: Today's story, logic & goals Biological side of Computational Biology
Continuity of Life & Central Dogma
"The" Genetic Code
Translationt-,m-,r-RNA
Perl Dogma (EditPlus)
Continuity & Diversity of life
How many living species?
Genetic codes (ncbi)
Translational reprogramming
Intro 2: Today's story, logic & goals Biological side of Computational Biology
Qualitative biological statements (beliefs) and evidence
Gene Ontology (nature of being)
Gene Ontology
Evidence for facts
Direct observation
Sources of Data for BioSystems Modeling:
Signaling PAthway DatabaseSPAD
Dynamic simulation of the human red blood cell metabolic network.
Enzyme Kinetic Expressions
How do enzymes & substrates formally differ?
Continuity of Life & Central Dogma
Intro 2: Today's story, logic & goals Biological side of Computational Biology
Sources of Data for BioSystems Modeling:
Structural Genomics
mRNA expression data
What is functional genomics?
Genomics Attitude
Intro 2: Today's story, logic & goals Biological side of Computational Biology
Mutations and selection
Types of Mutants
Multiplex Competitive Growth Experiments
Growth & decay
Ratio of strains
Intro 2: Today's story, logic & goals Biological side of Computational Biology
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Author: George Church
Home Page: http://www.courses.fas.harvard.edu/~bphys101/
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