SOFTWARE ASSISTED METHODS FOR PROBING THE BIOCHEMICAL BASIS OF BIOLOGICAL STATES

• US 20090099784A1
• Filed: 09/25/2008
• Published: 04/16/2009
• Est. Priority Date: 09/26/2007
• Status: Abandoned Application

• Current Assignee: Selventa, Inc.
• Original Assignee: Selventa, Inc.
• Inventors: Elliston, Keith O., Ladd, William M.
• Application Number:
  US12/237,566
• Publication Number:
  US 20090099784A1
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: G16B 5/00 ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks

Abstract

The present invention relates to computational methods, systems and apparatus useful in the identification of similarities and/or differences between a plurality of biological states, such as altered biological states in an animal (e.g., a mammal or human). Particularly, the invention relates to comparing two or more causal system models (“CSMs”) which each are indicative of a biological state, such as a disease state, a toxic state, or a drug- or therapy-induced state. The present invention also relates to generating a general CSM from a comparison of two or more other CSMs, and subsequently comparing one or more of the other CSMs to the general CSM. Either of these techniques, or a combination of the two techniques, can be used to identify unique and common features in each CSM.

Claims

1. A software assisted method for identifying similarities and differences between the biochemistry of a plurality of biological states, the method comprising the steps of:

a) providing in a storage medium a plurality of causal system models, each model representing a biological state in an animal, and comprising;

(i) nodes representative of differences in plural biological entities, actions, functional activities, or concepts in a said biological state as compared with a second biological state, and

(ii) links between nodes indicative of there being a causal directionality therebetween; and

b) comparing electronically at least a portion of at least one causal system model to at least a portion of at least one other casual system model to identify similarities and differences between nodes from respective said models thereby to discern biochemical similarities and differences between said modeled biological states; and

c) causing an electronic representation of said biochemical similarities and differences between said modeled biological states to be physically stored on a computer-readable medium.

2. The method of claim 1 comprising comparing one causal system model to plural other causal system models to discern the underlying biochemical network characteristic of the biological state represented by said one causal system model.

3. The method of claim 1 wherein the modeled biological states are selected from the group consisting of a disease biological state, a biological state at disease onset, a biological state at disease progression, a biological state at disease regression, a toxic biological state, a drug-treated biological state, a therapy-treated biological state, a drug- or therapy-sensitive biological state, and a drug- or therapy-resistant biological state.

4. The method of claim 1 comprising the additional step of suggesting a biological experiment to assess the biological reality of a said similarity or difference between said modeled biological states.

5. A software assisted method for probing pharmacology in an animal, the method comprising the steps of:

a) providing in a storage medium a plurality of causal system models,

each model comprising a collection of nodes representative of differences in plural biological entities, actions, functional activities, or concepts in a said biological state as compared with a second biological state, and links between nodes indicative of there being a causal directionality therebetween,

each model being representative of the biochemistry of an animal induced by administration to the animal of a selected molecular entity, a selected dose of a selected molecular entity, or a selected group of molecular entities;

b) comparing electronically at least portions of at least two said causal system models to discern biochemical differences between the biochemical effects in the animal of different molecular entities, different doses of molecular entity, or different groups of molecular entities; and

c) causing an electronic representation of the biochemical differences between the biochemical effects in the animal of different molecular entities, different doses of molecular entity, or different groups of molecular entities to be physically stored on a computer-readable medium.

6. The method of claim 5 comprising the additional step of suggesting a molecular entity for development.

7. The method of claim 5 comprising probing the efficacy of a molecular entity to induce a desired biological effect by comparing a causal system model of the biochemical effects of administration of the entity to a causal system model of the biochemical effects of one or more different molecular entities which induce the same or a related biological effect.

8. The method of claim 5 comprising probing the toxicology of a molecular entity by comparing causal system models of the biochemical effects of administration of a plurality of different molecular entities directed to the same target.

9. The method of claim 5 comprising probing the toxicology of a molecular entity by comparing a causal system model of the effects of administration to a mammal of said molecular entity to plural causal system models of toxic responses.

10. The method of claim 5 comprising probing the toxic effect associated with agonizing or antagonizing a preselected target by comparing a causal system model of the biological effect of agonizing or antagonizing said target to a causal system model of a toxicity.

11. The method of claim 6 comprising conducting a biological experiment with a suggested molecular entity.

12. The method of claim 5 comprising probing the toxic effect associated with agonizing or antagonizing a preselected target by comparing a causal system model of the biological effect of agonizing or antagonizing the target with a molecular entity to a causal system model of the biological effects of a different molecular entity known to have a toxicity.

13. The method of claim 5 wherein said provided plurality of causal system models comprise models of toxicities generated from data descriptive of the biochemistry of toxicities relating to the function of the heart, liver, kidney, nervous system, circulatory system, respiratory system, or immune system.

14. The method of claim 5 wherein the compared causal system models are models generated from data from different species.

15. The method of claim 5 wherein said pharmacology is a toxic state or a drug-induced state.

16. The method of claim 5 wherein the provided models are generated by a method comprising the steps of:

providing a knowledge base of biological assertions concerning a selected biological state, the knowledge base comprising a network of a multiplicity of nodes representative of biological entities, actions, functional activities, and concepts, and links between nodes indicative of there being a relationship between the nodes, wherein at least some of the links comprise indicia of causal directionality;

simulating in the network one or more perturbations of plural individual root nodes to initiate a cascade of virtual activity through said links between connected nodes to discern multiple branching paths within the knowledge base;

mapping onto the knowledge base operational data representative of a perturbation, associated with a biological state, of one or more nodes and optionally of experimentally observed or hypothesized changes in other nodes resulting from the one or more perturbations;

prioritizing said branching paths on the basis of how well they predict said operational data, thereby to define a set of models comprising said branching paths potentially explanatory of the molecular biology implied by the data;

applying logic based criteria to said set of models to reject models as not likely representative of real biology thereby to eliminate hypotheses and to identify from remaining models one or more causative relationships.

17. The method of claim 15 comprising the additional step of harmonizing a plurality of said remaining models to produce a larger model comprising a model of at least a portion of the operation of said biological system.

18. The method of claim 15 wherein a said logic based criterion is based on a measure of consistency between:

the predictions resulting from simulation along multiple nodes of a model and known biology of said selected biological system;

the operational data and the predictions resulting from simulation within a model upstream from a root node to a node corresponding to an operational data point;

the operational data and the predictions resulting from simulation within a model downstream from a root node to a node corresponding to an operational data point.

19. A method for discovery by an investigator of similarities and differences between the biochemistry of a plurality of biological states, the method comprising the steps of causing a second party entity or entities to:

a) provide in a storage medium a plurality of causal system models, each model representing a biological state in an animal, and comprising;

(i) nodes representative of differences in plural biological entities, actions, functional activities, or concepts in a said biological state as compared with a second biological state, and

(ii) links between nodes indicative of there being a causal directionality therebetween; and

b) compare electronically at least a portion of at least one causal system model to at least a portion of at least one other casual system model to identify similarities and differences between nodes from respective said models thereby to discern biochemical similarities and differences between said modeled biological states; and

c) cause an electronic representation of said biochemical similarities and differences between said modeled biological states to be physically stored on a computer-readable medium.

21. The method of claim 19 wherein said investigator is a pharmaceutical company and a said second entity is a discovery unit associated with the pharmaceutical company or an outside contractor.

20. A method for probing by an investigator pharmacology in an animal, the method comprising the steps of causing a second party entity or entities to:

a) provide in a storage medium a plurality of causal system models,

each model comprising a collection of nodes representative of differences in plural biological entities, actions, functional activities, or concepts in a said biological state as compared with a second biological state, and links between nodes indicative of there being a causal directionality therebetween,

each model being representative of the biochemistry of an animal induced by administration to the animal of a selected molecular entity, a selected dose of a selected molecular entity, or a selected group of molecular entities;

b) compare electronically at least portions of at least two said causal system models to discern biochemical differences between the biochemical effects in the animal of different molecular entities, different doses of molecular entity, or different groups of molecular entities; and

c) cause an electronic representation of the biochemical differences between the biochemical effects in the animal of different molecular entities, different doses of molecular entity, or different groups of molecular entities to be physically stored on a computer-readable medium.