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FUNCTIONAL COMPONENTS AS A BASIS FOR COMPLEX SYSTEM DESCRIPTION: SOME EXAMPLES AND DISCUSSION. D. C. Mikulecky Professor Emeritus and Senior Fellow  Center.

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Presentation on theme: "FUNCTIONAL COMPONENTS AS A BASIS FOR COMPLEX SYSTEM DESCRIPTION: SOME EXAMPLES AND DISCUSSION. D. C. Mikulecky Professor Emeritus and Senior Fellow  Center."— Presentation transcript:

1 FUNCTIONAL COMPONENTS AS A BASIS FOR COMPLEX SYSTEM DESCRIPTION: SOME EXAMPLES AND DISCUSSION.
D. C. Mikulecky Professor Emeritus and Senior Fellow  Center for the Study of Biological Complexity Virginia Commonwealth University

2 WHAT I HOPE TO ACCOMPLISH
REVIEW MY PREVIOUS TALK INTRODUCE NETWORK THERMODYNAMICS AS A UNIQE FORMALISM FOR SYSTEM MODELING USE NETWORK THERMODYNAMIC MODELS TO ILLUSTRATE THE DISTINCTION BETWEEN PHYSICAL PARTS OF A SYSTEM AND ITS FUNCTIONAL REALITY SHOW HOW TOPOLOGICAL ASPECTS OF MODELS CAN PROVIDE INFORMATION NOT OBTAINED FROM MECHANISTIC MODELS

3 OUR DEFINITION OF COMPLEXITY
Complexity is the property of a real world system that is manifest in the inability of any one formalism being adequate to capture all its properties. It requires that we find distinctly different ways of interacting with systems. Distinctly different in the sense that when we make successful models, the formal systems needed to describe each distinct aspect are NOT derivable from each other

4 THE MODELING RELATION: A MODEL OF HOW WE MAKE MODELS
ENCODING NATURAL SYSTEM FORMAL SYSTEM CAUSAL EVENT IMPLICATION DECODING FORMAL SYSTEM NATURAL SYSTEM

5 WHAT “TRADITIONAL SCIENCE” DID TO THE MODELING RELATION
FORMAL SYSTEM NATURAL SYSTEM MANIPULATION FORMAL SYSTEM NATURAL SYSTEM

6 COMPLEXITY REQUIRES A CIRCLE OF IDEAS AND METHODS THAT DEPART RADICALLY FROM THOSE TAKEN AS AXIOMATIC FOR THE PAST 300 YEARS OUR CURRENT SYSTEMS THEORY, INCLUDING ALL THAT IS TAKEN FROM PHYSICS OR PHYSICAL SCIENCE, DEALS EXCLUSIVELY WITH SIMPLE SYSTEMS OR MECHANISMS COMPLEX AND SIMPLE SYSTEMS ARE DISJOINT CATEGORIES

7 COMPLEX SYSTEMS VS SIMPLE MECHANISMS
NO LARGEST MODEL WHOLE MORE THAN SUM OF PARTS CAUSAL RELATIONS RICH AND INTERTWINED GENERIC ANALYTIC  SYNTHETIC NON-FRAGMENTABLE NON-COMPUTABLE REAL WORLD SIMPLE LARGEST MODEL WHOLE IS SUM OF PARTS CAUSAL RELATIONS DISTINCT N0N-GENERIC ANALYTIC = SYNTHETIC FRAGMENTABLE COMPUTABLE FORMAL SYSTEM

8 WHY IS ORGANIZATION SPECIAL? BEYOND MERE ATOMS AND MOLECULES
IS THE WHOLE MORE THAN THE SUM OF ITS PARTS? IF IT IS THERE IS SOMETHING THAT IS LOST WHEN WE BREAK IT DOWN TO ATOMS AND MOLECULES THAT “SOMETHING” MUST EXIST

9 THERMODYNAMIC REASONING OPEN SYSTEMS THERMODYNAMICS
EVEN IN THE WORLD OF MECHANISMS THERE ARETHE SEEDS OF COMPLEXITY THEORY THERMODYNAMIC REASONING OPEN SYSTEMS THERMODYNAMICS NETWORK THERMODYNAMICS

10 THE NATURE OF THERMODYNAMIC REASONING
THERMODYNAMICS IS ABOUT THOSE PROPERTIES OF SYSTEMS WHICH ARE TRUE INDEPENDENT OF MECHANISM THEREFORE WE CAN NOT LEARN TO DISTINGUISH MECHANISMS BY THERMODYNAMIC REASONING

11 FUNCTIONAL COMPONENTS
MUST POSSESS ENOUGH IDENTITY TO BE CONSIDERED A “THING” MUST BE ABLE TO ACQUIRE PROPERTIES FROM LARGER SYSTEMS TO WHICH IT MAY BELONG ITS FORMAL IMAGE IS A MAPPING f: A -----> B THIS INTRODUCES A NEW KIND OF “DYNAMICS” : RELATIONAL

12 NETWORK THERMODYNAMICS COMBINES MECHANISM WITH ORGANIZATION
NETWORK ELEMENTS SPECIFY MECHANISM NETWORK TOPOLOGY SPECIFIES ONE IMPORTANT TYPE OF ORGANIZATION

13 NETWORK TOPOLOGY IS THE WAY THINGS ARE CONNECTED TOGETHER

14 DO WE USE NETWORK TOPOLOGY IN BIOLOGY?
METABOLIC MAPS FLOW DIAGRAMS NEURAL NETWORKS MANY MORE

15 NETWORK ELEMENTS: THE FOURFOLD WAY
RESISTANCE EFFORT FLOW INDUCTANCE CAPACITANCE MEMRISTANCE MOMENTUM CHARGE

16 NETWORK THERMODYNAMICS APPLIES TO ALL SYSTEMS USING ELECTRICAL SYSTEMS AS ITS ANALOG: EXAMPLE OF MEMBRANE DIFFUSION CONDUCTANCE VOLTAGE DIFFFERENCE FLOW OF CURRENT AMMOUNT OF CHARGE OHM’S LAW PERMEABILITY CONCENTRATION DIFFERENCE FLOW OF DIFFUSING MATERIAL AMMOUNT OF DIFFUSING MATERIAL FICK’S LAW OF DIFFUSION

17 MICHAELIS MENTEN REACTION KINETICS (ENZYMATIC)
NETWORK THERMODYNAMICS ALLOWS CHEMICAL REACTIONS TO BE MODELED ALONG WITH TRANSPORT, ELECTRICAL EVENTS AND BULK MATERIAL FLOW MEMBRANE TRANSPORT PHARMACOKINETICS MICHAELIS MENTEN REACTION KINETICS (ENZYMATIC) BLOOD FLOW AND OTHER FLUID FLOW ELECTROPHYSIOLOGY ECOSYSTEMS

18 BIOLOGICAL ORGANIZATION INVOLVES COUPLED SYSTEMS: HOW ORGANIZATION CAN BE ACHIEVED ACCORDING TO THE SECOND LAW OF THERMODYNAMICS: EXAMPLE OF ACTIVE TRANSPORT CONCENTRATION DIFFERENCE ACTIVE TRANSPORT MULTIPORT REACTION FREE ENERGY

19

20 WHAT IS THE TOPOLOGICAL REQUIREMENT FOR ACTIVE TRANSPORT?
CURIE’S PRINCIPLE: IN ORDER TO CREATE A GRADIENT A CHEMICAL REACTION MUST OCCUR IN AN ASYMMETRIC SPACE

21 BACK TO FUNCTIONAL COMPONENTS
WE WILL KEEP THE SAME PARTS AND MANIPULATE THEIR ORGANIZATION WE CAN PRODUCE DIFFERENT FUNCTIONAL COMPONENTS THIS WAY

22 MEMBRANE “A” IS A CATION EXCHANGE MEMBRANE
THE EXAMPLE OF CHARGED MEMBRANES: EVERYTHING TO BE DISCUSSED IS REALIZABLE IN THE LABORATORY MEMBRANE “A” IS A CATION EXCHANGE MEMBRANE MEMBRANE “B” IS AN ANION EXCHANMGE MEMBRANE

23 FIRST CONFIGURATION: A AND B IN SERIES
1 B 2 PLACE SALT SOLURIONS AT DIFFERENT CONCENTRATIONS MEASURE CURRENT FROM 1 TO 2 IT IS ESSENTIALLY ZERO BUT THE POTENTIAL IS THE NERNST POTENTIAL

24 SECOND CONFIGURATION: A AND B ARE PLACED IN PARALLEL
1 A 1 2 B

25 IN THE PARALLEL CONFIGURATION
THERE IS NO POTENTIAL DIFFERENCE BETWEEN 1 AND 2 NEUTRAL SALT IS MORE PERMEABLE THAN WATER (VERY UNUSUAL-EMERGENT PROPERTY?) CAN DESALT WATER BY USING PRESSURE AS A DRIVING FORCE

26 BACK TO THE FIRST CONFIGURATION: A AND B IN SERIES-ADD ENZYME
1 B 2 ANION CATION WE NOW SEPARATE CHARGE PRODUCING ELECTRICAL CURRENT: ELECTROGENIC PUMP

27 IN SUMMARY THREE CONFIGURATIONS OF THE SAME PARTS PRODUCED THREE VERY DIFFERENT FUNCTIONAL SYSTEMS THIS IS POSSIBLE EVEN IN SIMPLE MECHANISMS EVERY ONE IS EXPERIMENTALLY REALIZABLE BIOLOGY IS REPLETE WITH FUNCTIONAL COMPONENTS THAT ARE COMPLEX

28 FUNCTIONAL COMPONENTS
MUST POSSESS ENOUGH IDENTITY TO BE CONSIDERED A “THING” MUST BE ABLE TO ACQUIRE PROPERTIES FROM LARGER SYSTEMS TO WHICH IT MAY BELONG ITS FORMAL IMAGE IS A MAPPING f: A -----> B THIS INTRODUCES A NEW KIND OF “DYNAMICS” : RELATIONAL


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