BioUML () Software framework for systems biology Overview Biosoft.Ru, Novosibirsk, Russia....
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Transcript of BioUML () Software framework for systems biology Overview Biosoft.Ru, Novosibirsk, Russia....
BioUML (http://www.biouml.net)
Software framework for systems biologyOverview
Biosoft.Ru, Novosibirsk, Russia.
Laboratory of Bioinformatics, Digital Design Technologies Institute, SB RAS.
E-mail: [email protected]
Copyright © 2002 Biosof.Ru. All rights reserved.
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Motivation
Systems biology requires integrated software environment that spans the comprehensive range of capabilities including:
access to databases with experimental data tools for formalized description of biological
systems structure and functioning tools for visualization and simulation of biological
systems
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Results BioUML is designed as common purpose framework for systems
biology providing formalized graphic notation structure and functioning of biological systems, their visualization and simulation as well as access to databases with relevant experimental data.
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Architecture
Meta model Database modules Diagram viewer Diagram editor Database search engine Visual modeling and simulation tools
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Meta model
Meta model provides an abstract layer to present structure of any biological system as a clustered graph that further can be visualized as a diagram or stored as XML files.
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Database module: concept
We introduce a concept of module that serve for incorporation of different databases on biological pathways into BioUML framework.
If we use a metaphor, then BioUML can be imagined as operating system (for example Windows), and modules are concrete programs (for example MS Word).
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Database modules
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We have developed modules for following databases on biological pathways:
GeneNet (IC&G, SB RAS, Russia) http://wwwmgs.bionet.nsc.ru TRANSPATH (BIOBASE GmbH, Germany) http://transpath.gbf.de KEGG pathways (Kyoto University, Japan) http://www.kegg.com
Diagram viewer
Information from different databases on biological pathways can be mapped into objects from BioUML meta model.
After that diagram viewer can visualize structure of biological systems as diagrams.
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Diagram viewer
Main features: Seamless integration with databases on biological
pathways: clickable diagram nodes hyperlinks support
Powerful system of filters allowing user to highlight components with the specified properties.
Print and print preview support. Saving diagram as GIF images. Zoom.
.
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Clicking on any diagram node you can get the object description from the corresponding database.
This is “Hs:IRF2” gene description from the GeneNet database.
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Experimental data for “Antiviral response” diagram has been got from three species :- chicken (Gallus gallus)- human (Homo sapiens)- mouse (Mus musculus).Using filters user can select (highlight) only those components which are specific for the selected species, for example for Mus musculus.
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Similar user can select only those components whose expression was experimentally proven in the specified cell types, for example in human T-lymphocytes.
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Diagram editor
.
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Visual editing of diagrams. Allows associate arbitrary image with diagram node. Seamless integration with databases on biological
pathways. Powerful editor for database records associated with
diagram elements. Powerful search engine allowing a user to find all
components interacted with selected one. Undo/redo support.
Components toolbar allows user to add into diagram component of specified type.
By clicking on any diagram node user can edit corresponding database record using powerful component editor.
Search engine allows a user to search database to find all components interacted with selected one and add them into the diagram.
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Database search engine
Database search engine allows user to find database records with the specified properties.
Features: Unified interface for all database modules and database tables. User can use any component property (database field) for
searching. Possibility to use regular expression (Perl5 regular expressions). Possibility to use many fields for search simultaneously. Searched results are presented in tabular forms. User can edit database records from result set.
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First user should specify database module and database table for further searching. Here it is “GeneNet” module and “Protein” table.
Specifying filter values for database fields user can select the needed records.Here we would like to select proteins:• regulated by interferons (we can use regular expression /.*IFN.*/ for this purpose)
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After pressing “Start” button we will get a table containing all database records specifying the give condition.
Further you can select any record to view its description or edit it.
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Graph search engine
Graph search engine allows user to query database, find interconnected components and present result as a graph
A predefined set of graph layout algorithms allows to arrange graph nodes
The resulted graph can be extended and edited using BioUML editor
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Results of search of components interconnected with “Hs:HSF-1-p” protein.
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BioUML modeler
BioUML modeler allows a user to model continuous dynamics systems that can be represented by system of ordinary differential equations (ODEs).
A simulated biological system is presented as pathway simulation diagram: variables are associated with graph nodes differential equations are associated with graph edges
To specify right side of differential equation MATLAB language is used. Additionally some conventions are used for variable names.
When such diagram is build, BioUML modeler allows user to automatically generate executable models as MATLAB M-files and start powerful MATLAB ODE suite for model simulations.
BioUML modeler: an example
Example below demonstrates application of BioUML modeler for simulations simple pharmacokinetic model.
Here 100 units of some drug A were injected intravenously. This drug can be break up by some enzyme E in liver giving the metabolite B.
We suggest that drug flow from blood to liver is proportional to drag amount in the blood. The same is true for drug flow from liver to blood, however the constant is other (k_1 in first case and k_2 in second case). We also assume that enzyme concentration in liver is E0 and the dynamics of reaction can be described using Michaelis-Menten equation.
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100 units of some drug A were injected intravenously.
This drug is transferred from blood to liver.
This drug can be broken up by some enzyme E in liver giving the metabolite B.
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We suggest that drug flow from blood to liver is proportional to drag amount of in the blood with constant k_1.
The same is true for drug flow from liver to blood, however the constant is other: k_2.
Enzyme concentration in liver is E0 and unchangeable.
Dynamics of break up reaction can be described using Michaelis-Menten equation.
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Using this table user can specify initial values for all variables.
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The “Start” tab allows user to specify ODE solver and time interval.
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When “Start” button is pressed BioUML automatically generates mathematical model and invokes MATLAB to solve this model and present results graphically.
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BioUML modeler: generated M-files
For the model simulation using MATLAB BioUML modeler generates two M-files:
script file for model simulation and graphic result presentations.
function to calculate dy/dt for the model.
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BioUML modeler
script file for model simulation and graphic result presentations
%constants declarationglobal k_1 k_2 k_3 k_E0 k_Km v_blood v_liverk_1 = 0.1k_2 = 0.05k_3 = 0.01k_E0 = 1.0k_Km = 0.1v_blood = 100.0v_liver = 100.0%Model variables and their initial valuesy = []y(1) = 100.0 % y(1) - $blood.Ay(2) = 0.0 % y(2) - $liver.Ay(3) = 0.0 % y(3) - $liver.By(4) = 1.0 % y(4) - $liver.E%numeric equation solving[t,y] = ode23('pharmo_simple_dy',[0 200],y)%plot the solver outputplot(t, y(:,1),'-',t, y(:,2),'-',t, y(:,3),'-',t,
y(:,4),'-')title ('Solving pharmo_simple problem')ylabel ('y(t)')xlabel ('x(t)')legend('$blood.A','$liver.A','$liver.B','$liver.E');
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BioUML modeler
Function to calculate dy/dt for the model.
function dy = pharmo_simple_dy(t, y)
% Calculates dy/dt for 'pharmo_simple' model.
%constants declaration
global k_1 k_2 k_3 k_E0 k_Km v_blood v_liver
% calculates dy/dt for 'pharmo_simple' model
dy = [ -k_1*y(1)+k_2*y(2)
-k_3*k_E0*y(2)/(k_Km+y(2)/v_liver)-k_2*y(2)+k_1*y(1)
k_3*k_E0*y(2)/(k_Km+y(2)/v_liver)
0]
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Features for BioUML 2.0
Import/export SBML models Formalize similar with UML visual language for systems
biology Adding other computational models:
Discrete events Hybrid models FSM
Providing a set of standard reactions to simplify creation of complex diagrams
Graph layout improvements Modules for other databases on biological pathways
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Availability
First public release will appear July 15, 2002 BioUML 1.0 planned to be free for non profit
organizations BioUML sources (meta model, database
modules and some other) will be publically available.
Contacts: [email protected]
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