The axiomatization of immunology is one of our directions, and how to decompose it into solutions to differential equations will be discussed in depth for the time being. Pen % fun % Pavilion www.biquge.info

Antibodies and antigens are a mapping of the heterozygosity of other levels dominated by the DNA level, (we have this confidence, biological processes can be regarded as cyclic bodies to a certain extent, and structural closure means that this is a closed group, and its operation conforms to the simulation of hierarchical coupling by differential equations), which means that a larger level of coupling needs to be understood using the concept of wave function.

Immunoglobulins are seen as a characteristic value, and T/B lymphocytes are other levels of specialization.

As long as the number is large enough, itoldyouso's i will always be correct, because as a whole, there is always a probability that the correct prediction will appear, and it doesn't matter whether it is correct or not as an individual, but when we understand it, if we couple these two levels, it is unreasonable.

Cytokines act as stabilizers that regulate the progress of the cycle? Is it some kind of transformation when it is coupled to the DNA hierarchy? Like the Laplace transformation, which corresponds to the organism, what is the frequency of the time-domain transformation?

The formation of diversity is necessary for the leap of the level, just as energy is the leap of the electronic level. Critical complexity, i.e., the explosive growth of hierarchical coupling to a certain extent, is suspected to be due to the loss of quantum, which causes the collapse of the wave function coupling to cause a loss of probability.

What does it mean for antigen-presenting cells to recognize antigen diversity, and can they serve as an intermediate channel?

Come on, crazy deduction, counter-intuition may be the only assumption to survive

Network research is actually a kind of quantization of interaction, that is, the relationship is abstracted into connection, and the number of connections and the coupling of dimensions are the overall relationship

Immune defense, self-stability, and surveillance are all allogeneic and xenogeneous struggles, and pathogenic microorganisms and other antigens, damaged or senescent cells, mutant cells, and virus-infected cells are all non-identifying or xeno-identifying, and while taking measures, due to the mutual coupling of the network, it can lead to side effects

The network role of macrophages, NK cells, etc. is hierarchical and overlapping, and there are various sequences and biological effects

Immunocloning theory: everything is based on the emergence of a large number to play a role, and the final embodiment is a high probability, and at the same time, a small probability also exists, when is it the mainstream. The emphasis on specificity recognition is an accident at the beginning, and finally becomes inevitable in the case of proliferation. The cells that react to their own antigens during the embryonic period are removed, which is the first step in building a relationship, not to hurt fellow citizens, as the law says the bottom line for the worst people

Signaling: antigens, antibodies, cytokines, adhesion factors, interleukins, etc., so that the network itself is built changes accordingly.

Complete antigens and haptens, separable in nature, immunogenicity and antigenicity, initiation and reaction site

Different cytokines trigger the same biological effects, but the specific molecule can be different, and other properties of the specific molecule can trigger a chain reaction

Epitopes, sequences (one-dimensional linear epitopes, three-dimensional conformational epitopes) and other criteria to divide them. e.g. binding site (antigen binding valence)

After degradation, there is a B cell bias, and there is a T cell bias when it is not degraded, which is called coupling

the presence of common antigens, cross-reactivity, similarity;

Dependency can be used as a criterion for classification

Modifying autoantigens is self-renewing

Superantigens do not make recognition sites, but construct pseudo-recognition by linking receptors and recognition molecules

Common subunits may lead to similarity function

The role of the adjuvant illustrates the operability of the recognition system, antigen residence time, physical properties, different stimuli of the monocyte-macrophage system, etc

Negative positive selection allows for appropriate cell properties, restriction, and maturation

Coupling of multiple signals, providing sufficient strength or probability

Apoptosis avoids autoimmunity in the form of apoptotic bodies

Regulation is the simultaneous expression of activation and inhibition, but its specific form and the network it consists of are the embodiment of high dimensions

Antibodies are formed by the general structure of the constant and variable regions, and the specific local regions have conserved and variable sublayers (associated with the tightly linked gene population of MHC)

The basis of positive feedback: the coupling of self with equations containing itself

Polymorphism: In a population, there are multiple complex alleles on the same locus on chromosomes, but only two complex alleles can be selected at a locus for different individuals.

The unidirectional role of the network and hierarchical coupling

The interaction between the three major systems restricts each other, and it becomes a self-stable integration and regulation system of the body, which constitutes a complex network

The interactions between the three systems can be divided into long-range, short-range, and over-range interactions, i.e., different ranges

The common language of the system

Aggregation of information, overlapping of levels

Convergence of paths, radius, scale-free, small worlds

The network topology of immunity is based on a high-level probabilistic network in which all levels are probabilistic networks. The immune system is a circulating, open system, with a certain amount of correctness, and at the same time needs to constantly replenish low entropy. The interaction with the environment, mainly the speed of conversion within it, factors such as temperature affect the activity of the enzyme and the activity of the cell will change.

To match or not to exclude is our purpose.

Liver cirrhosis is decomposed into enhanced collagen fiber synthesis, repeated destruction of hepatocytes, and continuous regeneration of hepatocyte nodules, and continuous proliferation of fibrous tissue, these are all probabilistic factors, this network can be simplified into a certain matrix, inversion, and the possible factors of each possible factor can be obtained, which can be reflected from the intrinsic value of the matrix, and then synthesized macroscopic factors such as hypoxia, inflammatory stimulation and abnormal immune mechanism. The cirrhosis of the liver is also a level, and to match to a larger level, the temporary idea is that the internal pathways should be matched with the pathways at the external level as much as possible, which may be able to find the homology of the hierarchical matching like bioinformatics, and then establish various spectra such as phylogenetic trees.

Various cellular immunotherapies are topological deformations of the network, which are directly fed into immune cells such as DC cells, changing the concentration/aggregation of various local regions of the network, and its deformation can be measured from the formation of local counterbalance and the similarity of the levels.

The network, the wave function to describe, is the one of the Tao, only at this level is useful, to go deep that is, to observe, the various probabilistic pathways within it collapse into a certain pathway in a specific time and space, we want to change not only from this pathway, which is low-dimensional, but to affect the overall pathway through the interaction of the environment, we can only change the probability. Consider using the elephant function to do the overall operation

Identification of results - behavior analysis - control - design

Immunodeficiency diseases caused by abnormal development, differentiation, proliferation and metabolism of immune cells are clinically network-like. The first is the developmental stage of the different cells, and the defect that appears is the deformation of the network. The proportions of each stage are different, the number of cases, the location of the disease, and so on. It is found that the problem with antibodies is relatively large.

Recurrent infections, malignant tumors. Autoimmune diseases (genetic predisposition, natural selection): b, t, complement, phagocytic cells, combined

defects, network deformations, probability changes, sequence group changes

Phase I: Nucleoside Reverse Transcriptase Inhibitors, Phase II: Protease Inhibitors, Phase III: Mixing Protease Inhibitors with Multiple Other Antiviral Drugs, Phase IV: Melt Inhibitors;

The virus is highly mutated, and the eigenvalue of its variant is a network, which should also be limited by using the network, such as the combination of CD8+CTL and so on

Anti-infective, immune reconstitution and gene therapy, immunologic agents (immunoglobulin, IL-2). Build the environment and its own network, and complement each other

Cell proliferation, speed is key to maintaining the existence of the network

Removal is an absolute inclination, and at the same time it is a process of shaping so that what survives is complementary to the environment

Molecular size, complex chemical composition with special chemical groups, granular antigens > soluble antigens; Polymeric antigens> monomeric antigens; The role of adjuvants, molecular accessibility: the complexity of information

The immune response can determine the chemical structure of a molecule by the strength of its reaction

Sequence recognition, the basis of cross-reactivity, the presence of multiple epitopes on the surface of its molecule

Cross-antigens: induce autoimmune diseases; Diagnosis; treat

Mechanism of epitope presentation, Polarization of Th1/Th2: Mechanistic changes in the proportions of the various levels of the cell

Location and concentration changes, downstream

Immunity, network memory, structural deformation. The foothold is the network of cells and various factors. Antibodies and phagocytes, etc., are eigenvalues, and effector molecules are the shortest paths

Identify, demarcate boundaries. The sensitivity of the stimulus is reduced to a threshold

Coupling of organs, tissues, cells, molecules, and other levels

Innate and acquired immunity, intrinsic and specific immunity, cellular and humoral immunity, etc., are roughly hierarchical classifications, similar to yin and yang, cold and heat inside and outside the eight outline dialectic, path coupling to form a network,

Basic level and expression level: intrinsic and specific immunity

The law of immune system activity is multi-level coupling, and the eigenvalue of the network is the specific law

The molecular level of various cells, DC cells, epithelial intermphocytes, cytokines, receptors, etc., and even the relationship between cells, molecules, and cells and molecules are the components of their own networks, and probability networks can be constructed

The role of special cellular molecules, which can be considered as eigenvalues, is the main body of action, such as phagocytic cells, cytokines

Mucosal immunity, based on the filtration of the first layer of the exchange of internal and external macroscopic levels, primary selection. Recognition is important, then there is specific pattern recognition, which has a deeper genetic recombination, which gives infinite possibilities to the organism, which is an explosion that allows it to select individuals suitable for the current situation under natural selection, thus maintaining the continuity of the whole

The cycle of developmental processes, the cycle of cell movement, the cycle of factor secretion

Specific recognition implies the possibility of a more certain pathway, such as TLR activation triggering specific signal transduction, followed by multiple mechanisms of bacterial damage such as phagocytic cell damage: oxygen intermediates, fungicides, proteases, increased permeability

The emergence of the complement system, the complementary system, is a second-order expansion of the Taylor series

The ubiquity of the equilibrium system is the initiation of various reaction changes, such as C3

Multiple pathways are repeatedly confirmed, such as costimulatory factors, and the second signal is processed in probability

Recognition is not a complete random combination of recognition, otherwise it is very inefficient to minimize the energy brought by memory that does not conform to nature, so it is necessary to seek a balance between the vitality brought by disorder and the stability brought by order. For example, MHC, antibodies, receptors, etc. are constant and variable regions (there is recombination at the gene level), the former provides structure, and the latter provides flexible recognition. Sequence-related, hierarchical transitions

The role of cell molecules is to couple the programmed cycle of the cell, such as cytoskeletal deformation, apoptosis, etc., to play a certain role

There are multiple levels of similarities, such as the mechanism of recombination of cell genes, the natural selection of populations and lymphocytes, and the hormonal level

Each level is like a wave function that collapses into specific pathways with the proportions and variations of specific cellular molecules

The epitope is the eigenvalue, which is the manifestation of the overall nature, the recognition has strength, and the final response is the macroscopic overall operation

The relationship between the recognition of the constant region and the variable region, the constant region and the constant region, the variable region and the variable region, the constant region and the variable region, is the guarantee of its own molecular recognition, so that its own antibodies will not be recognized as antigens by the body after binding to some substances. Cytokines are the structures of memory that function as a network

The fact that a network can accommodate the actions of different cellular molecules at the same time seems to be a contradiction, but in fact because of their different distributions, according to the theory of relativity, the remoteness of simultaneity can be equated with the anchronosity of different places, which eliminates the contradiction. This relativity, which is the basis for the formation of individual relationships in the network, such as yin and yang, cannot exist alone

NK cells of the immune system act on cells with abnormal expression of MHC1 molecule and are a one-way effect, which helps according to the pathway. Various identifications, at all levels, determine the probability path of the network

The distribution of the body's immune tissues is a distribution function and is a first-order structure

Coupling, such as phosphorylation, can have different macroscopic effects on different individuals, and activation is the coupling between systems, the combination of multiple equilibrium, the balance is mostly unidirectional, and the combination is a network effect

The cure of infection is multi-layered, the first is the combination of toxins and antibodies, the second is the combination of multiple substances, and the third is the network of sequences, cellular immunity, and humoral immunity

;