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Drug Design Process
Discovery Phase
Tripos Software SYBYL & its modules
• SYBYL, Concord , MOLCAD, SiteId, Advanced Computation, GASP, DISCOtech, HQSAR, QSAR, AMPAC, Advanced CoMFA, Distill, clogP/cMR, Biopolymer, Composer, GeneFold, ProTable, MatchMaker, Leapfrog, HiVol, CombiLibMaker/Legion, CLM 3D option, DYANA, Dynamics, Selector, Triad, Mardigras, FlexS, CScore, Confort, Stereoplex, DiverseSolutions, Receptor, MM2/3, VolSurf, FlexX, CombiFlexX, Unity Base, Unity 3D
SYBYL
Graphicswindow
Textport
So
ftw
are
Intr
od
uct
ion
Molecular Modelling & Visualisation
Mo
de l
l in
g &
Vis
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i sat
ion
SYBYL/BaseMOLCADAdvanced ComputationAMPACMM2 & MM3Confort
MOLCADM
od
e ll i
ng
& V
isu
a li s
atio
n
Advanced Computation
– creates molecular conformations
• using a variety of methods
• allows user defined constraints
• or constraints defined from other molecules
• with all SYBYL force fields for energy calculations
Mo
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l in
g &
Vis
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i sat
ion
MM3 & AMPAC– generating high quality molecular
structures
• AMPAC - very high quality (semi-emprirical calculations)
• MM3 - high quality (advanced molecular mechanics calculations)
– generation high quality structral data
• MM3 heats of formation, vibrational spectra
Mo
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Vis
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i sat
ion
Biomolecular Software
Bio
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lar
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BioPolymerComposerGeneFoldMatchMakerProTableSiteIDLeapFrog
Biopolymer Structure building
– proteins, DNA, RNA, Carbohydrates Structure editing
– conformations• alpha-helices, beta-sheets
– sequence• mutation, deletion, insertion, disulphide bonds, cyclisation
Sequence alignment Structural alignment Loop searching Secondary structure
– prediction and assignment
Bio
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lar
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Composer– builds protein structure from sequence
• using homology modelling to model proteins of unknown structure based on known protein structures
• when >30% sequence identity exists with known structure
Bio
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lar
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ProTableB
iom
ole
cula
r S
oft
war
e
analyses protein structure
• homology models or experimental (X-ray, NMR)
• uses molecular spreadsheet interactively with graphics
ProTable view
Compute structurequality data in MSS
And visualise it onthe actual structure
Bio
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lar
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are
SiteId– determines where on a protein a ligand may bind
• using 2 methods Grid method
– automated determination of cavities– places protein in grid– determines which grid points are deep within
protein– clusters these points and presents them to user
Bio
mo
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lar
So
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Dihydrofolate Reductase - anti cancer targetDihydrofolate Reductase - with backbone ribbonDihydrofolate Reductase backbone ribbonDihydrofolate Reductase - cavity detectedDihydrofolate Reductase - with MTX ligand
Mo
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Vis
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Structure Activity Relationships (QSAR) and ADME
QSAR with CoMFA, Advanced CoMFA, HQSAR, clogP/CMR, Distill, VolSurfQ
SA
R &
AD
ME
QSAR with CoMFA
– computes specialised descriptors• CoMFA, CoMSIA…..
– determine structural factors responsible for molecular properties
– generate models to predict biological activity• or other molecular properties
– visualise QSAR models
QS
AR
& A
DM
E
QSAR - 3D QSAR - CoMFA
Comparative Molecular Field Analysis Descriptors are field strengths around
molecules - electrostatic, steric, H-bond ..
pKi = B(D1)+ C(D2)+ + ...A
PLS
QS
AR
& A
DM
E
CoMFA - Interpretation High Coefficient (important) lattice points can
be plotted around molecular stuctures
Less steric bulk
More negative charge
QS
AR
& A
DM
E
*courtesy MDL
VolSurf Just regular QSAR
– but uses specialised (ADME relevant descriptors) descriptors with PLS or PCA
What are the descriptors?– 72 descriptors - 5 classes
• Size & Shape• Hydrophilic regions• Hydrophobic regions• INTEraction enerGY (intergy moments)• Mixed descriptors
Predefined models– CACO2 permeability (A,D), skin permeability (A), Blood-Brain
barrier (D), LogP
A = Absorption, D=distribution
QS
AR
& A
DM
E
Pharmacophore Perception
DISCOtech, GASP, Receptor
Ph
arm
aco
ph
ore
per
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t io
n
DISCOtech 3D database queries
– and molecular alignmentsH-bond Donor
H-bond Acceptor
Hydrophobe
H-bond Donor
H-bond Acceptor
Hydrophobe
x1,y1,z1
x2,y2,z2
x3,y3,z3
x4,y4,z4
x5,y5,z5
Spatial query - pharmacophore points specified by x,y,z
D1
D2
D3 D4
Distance query - pharmacophorespecified by interfeature distances D1, D2, ...
Ph
arm
aco
ph
ore
per
cep
t io
n
Hit molecule from LeadScreen
How does DISCOtech work?
MolecularStructures
Low EConformations
PharmacophoreModel
Conformergeneration
Cliquedetection
Ph
arm
aco
ph
ore
per
cep
t io
n
Chemical Informatics
Ch
emi c
a l I
nf o
rmat
ics
UNITY CONCORD SteroPlex ChemEnlighten AUSPYX HiVol/HiStats Molconn-Z
Unity
– Searches databases of chemical structures to return molecules matching the query
• 2D substructure searching• similarity searching - those fingerprints
again• 3D searching, verify, rigid, fully flexible
Ch
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a l I
nf o
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Unity example - similarity searching
Return all compounds in LeadScreen (50,000 compounds) at least 75% similar to
Search Takes 7 seconds and returns 8 compounds
Ch
emic
al I
nf o
rmat
ics
Unity - flexible 3D searching 3D searching
– return molecules which can present a specific arrangement of functionality (as defined in query)
2 ways to do this– rigid 3D search of multiple conformations
• generate many conformations for all mols in database• do rigid searching on all conformations of all molecules
– fully flexible searching (Tweak algorithm)• store 1 conformation per molecule in the database• flex it on the fly to match the 3D query• slower than rigid searching but more valid hits
Ch
emi c
a l I
nf o
rmat
ics
Concord
– Generates 3D molecular structures from 2D input
Ch
emi c
a l I
nf o
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ics
StereoPlex
• Creates 3D structures of all structurally feasible stereoisomers
Virtual ScreeningV
irtu
al S
cree
nin
g
FlexX CScore CombiFlexX FleS
Vir
tual
Scr
een
ing
FlexX
– docks molecules into protein binding sites
– generates docked conformations
– generates docking scores
– assess complementarity between receptor & ligand
Vir
tual
Scr
een
ing
CScore
– calculates scores for ligands in protein binding site• using a number of different
functions
G_score D_score PMF_score FlexX
– computes the consensus between different scoring functions
Vir
tual
Scr
een
ing
Database Screen with FlexX
Virtual ScreenV
irtu
a l S
cree
nin
g
FlexX Virtual Screening Results
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80 90 100
% a
ctiv
es
fou
nd
% compounds screened
FlexX docking & scoring.2873 compounds with 68 known actives
- PGRD data
Vir
tual
Scr
een
ing
SGI™ Origin® 3800
64 64 CPUsCPUsVisualization
Data Array
SupercomputerSupercomputerss
Workstations
Vir
tual
Scr
een
ing
Database
Screen with DOCK
Top 1%~10%
Virtual Screen Methods
Screen with FlexX
Lead Compounds
>2 Million Comps
Vir
tual
Scr
een
ing
Molecular Diversity & Combinatorial Chemistry
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Legion CombiLibMaker DiverseSolutions Selector
Legion/CombiLibMaker
– builds virtual combinatorial libraries
– have 2 modes of operation• core + sidechains• combine reagents
– provide output for DiverseSolutions - lib design
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Legion Combine reagents mode
R1 R2
O O
R3
N N
R4+15 diketones 31 hydrazines 465 products
NN
R4
R1
R3
R2
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Selector
– filters compounds
– calculates descriptors - valid ones
– compares databases for similar molecules
– diversity selection - using a variety of distance methods
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Selector - Filtering
Filter the database
Excluded/includedcompounds
Filtering criteria
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Selector - Diversity Selection Distance based
– must use distance based with high-dimensional metrics– example is 2D but reality is 1000D
e.g. Dissimilarity selection
CompoundSelect compound at randomPick most different compound from 1stPick most different compound from selected
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DiverseSolutions - Diversity Selection
Cell based– divide space into cells - pick a compound form
each
Compound
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BCUT1
BCUT2