biopharma 2'0

1
biopharma 2.0
2
Cells are processors DNA is a programming language
3
(No Transcript)
4
Computing vs Genetics
digital code (atgc) open standards (e.g.
codons) modular code (genes) error protection
(DNA repair) data compression (overlapping
ORFs) redundant backups (double helix, copy
number) self-diagnostics (apoptosis) firewalls
(species) operating system (ribosomes)
5
astronomical calculator
Antikythera mechanism, ca. 100BC
6
http//en.wikipedia.org/wiki/ImageLondonScienceMu
seumsReplicaDifferenceEngine.jpg
7
(No Transcript)
8
1947
http//www.hongwanjihi.org/Web2003/links/compHist/
Pict_Comp_Hist/transistor_first.jpg
9
IBM 701 1953
10
http//isis.astrogeology.usgs.gov/documents/IsisHi
story/images/computer_room.jpg
11
Garage computing
http//image.guim.co.uk/sys-images/Technology/Pix/
pictures/2007/07/30/jobs-apple-1.jpg
12
http//toprunet.com/publications/pic/4/17412748164
6d055.jpg
13
http//en.wikipedia.org/wiki/Michael_Dell
14
(No Transcript)
15
http//msnbcmedia1.msn.com/j/msnbc/Components/Phot
os/070228/070228_andreessen_vmed_5p.widec.jpg
16
http//upload.wikimedia.org/wikipedia/commons/c/c3
/Internet_map_4096.png
16
17
(No Transcript)
18
http//maps.google.com/
19
(No Transcript)
20
(No Transcript)
21
http//images.theglobeandmail.com
22
http//cache.gawker.com/assets/images/jalopnik/200
9/06/Toyota_Mind_Wheelchair_02.jpg
23
History of cells
24
(No Transcript)
25
http//www.spacedaily.com/images/venus-volcano-sur
face-artwork-desk-1024-bg.jpg
26
(No Transcript)
27
(No Transcript)
28
(No Transcript)
29
http//blog.bioethics.net/baby.jpg
30
(No Transcript)
31
1953 structure of DNA
watson/crick
franklin
32
Har Gobind Khorana
Marshall Nirenberg
33
http//academy.asd20.org/kadets/lundberg/ethics/im
ages/chromosomes.jpg
http//www.colorado.edu/MCDB/MCDB1111/intrographic
s/bacterial20chromosome.jpg
34
reading
35
Fred Sanger
36
(No Transcript)
37
1980
1987
36,000 bp/day (semi-auto)
500 bp/day (manual)
1995
1998
500,000 bp/day (automatic)
144,000 bp/day (semi-auto)
pacific biosciences
Sequencing by Synthesis
38
38
http//www.flickr.com/photos/myklroventine/7440602
57
39
39
40
comprehension
41
(No Transcript)
42
(No Transcript)
43
July 19, 2009
http//www.ncbi.nlm.nih.gov/sites/entrez?dbgenome
44
(No Transcript)
45
(No Transcript)
46
(No Transcript)
47
if we didnt build it...
48
writing
49
Over 3500 REs available
50
http//www.biomedcentral.com/content/figures/1471-
2199-8-6-1.jpg
51
(No Transcript)
52
(No Transcript)
53
(No Transcript)
54
http//www.ssos.com/word.jpg
http//www.epson.com
55
(No Transcript)
56
5/28/2009
57
(No Transcript)
58
Push button biotech
59
not how to engineer, what...
60
(No Transcript)
61
iGEM
(international genetically engineered machines)
62
(No Transcript)
63
63
64
http//partsregistry.org
64
65
(No Transcript)
66
(No Transcript)
67
(No Transcript)
68
(No Transcript)
69
(No Transcript)
70
GAME CHANGERS A sampling of award-winning iGEM
projects from past years
71
(No Transcript)
72
(No Transcript)
73
pace and costs
74
(No Transcript)
75
10 years
20 years
5 years
?
2.5 years
base pairs
minimal life
genetic circuits, viruses, GEMs
engineered life
protein
76
Human Genome Project 2.0 challenge to write a
human-scale genome
77
tipping point 10 mbp, 1 hr, 100
78
synthetic biology?
the next IT industry
79
DESIGN
creative and technical programming expertise
design/test cycle
COMPILE
TEST
synthesis and assembly technologies
laboratory procedures
EXECUTE
laboratory procedures containment health and
safety disposal
Applications (unlimited)
80
(No Transcript)
81
(No Transcript)
82
82
83
(No Transcript)
84
(No Transcript)
85
Chemical processes will migrate to biochemical
processes Non-hazardous, non-toxic, low temps
and pressures, powered by sugar and sunlight,
biodegradable, scaleable...
86
20 of the top 25 current biotech drugs are easily
tractable by synthetic biology
87
expect a new wave of biotechnology companies that
look more like startup software companies
88
(No Transcript)
89
cooperative biotech open source attract and
organize public resources experiment to explore
new economic and intellectual property models and
barriers to personalized (n1) medicine
90
http//www.flickr.com/photos/marsdd/2986989396
91
(No Transcript)
92
http//www.flickr.com/photos/mcpig/237120752
93
(No Transcript)
94
1 million from 20 investors
20 from 1 million
95
diagnostics
design
manufacturing (synthesis, expression,
purification)
testing (manual and automated)
clinical use (single person)
lab test data
clinical data
repeat development cycle as necessary
96
why? gt100 years of drug development and its
still an art, not a technology translation of
research to products is slowing barriers to
entry in biotech have fallen away
97
faster, better, cheaper
98
5 Year Anniversary